Targeted image adjustment

Abstract

Systems and methods for performing targeted image adjustments start with a processor receiving a media content item and identifying image adjustment parameters and adjustment values based on the media content item. The processor generates an adjusted media content item using the image adjustment parameter and the adjustment value, and causes an adjustment interface to be displayed through a display of the user device. The adjustment interface may include adjusted media content items and selectable items associated with image adjustment parameters. The options may include settings. In response to receiving a selection of one of the settings of the options, the processor generates a final media content item based on the selection of one of the settings, and causes the final media content item to be displayed through a display of the user device. Other embodiments are described herein.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This patent application claims priority to U.S. patent application No. 18 / 470,732, filed on September 20, 2023, which claims the benefit of U.S. Provisional Patent Application No. 63 / 479,200, filed on January 10, 2023, entitled “TARGETED IMAGE ADJUSTMENT,” which are incorporated herein by their entirety. Background Art

[0003] Electronic messaging, especially instant messaging, is becoming increasingly popular around the world. Users can quickly and instantly share electronic media content items including text, audio, images, pictures, and videos with others.

[0004] Current client or user devices such as smart phones are equipped with cameras to allow users to quickly capture pictures and videos to share. However, these cameras still cannot work fairly for everyone in every situation or lighting condition.

[0005] The camera's flaw stems from its original design. Shirley cards, introduced in the 1940s, are color reference cards used for balancing skin tones in still photographic printing. Cameras were specifically designed to capture the skin tones of Caucasian women, as characterized by Shirley cards. Because cameras were invented without regard for all skin tones, the design process failed to recognize the need for an extended dynamic range.

[0006] Current cameras are still not properly designed to account for and optimize images and videos for all skin tones. When capturing images in low light, current cameras search for a bright, or illuminated, portion of the viewfinder before releasing the shutter. If there is no illuminated portion, the camera will focus on a dark portion of the viewfinder and appear inactive. In other words, the camera only knows how to calibrate itself for brightness to define an image. Similarly, innovative technologies like face tracking cannot detect darker skin tones in certain lighting conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In the accompanying drawings (which are not necessarily drawn to scale), like reference numerals may describe similar components in different views. To easily identify the discussion of any particular element or action, the highest-order digit or digits in a reference numeral refer to the figure in which the element is first introduced. Some non-limiting examples are shown in the figures of the accompanying drawings, in which:

[0008] Figure 1is a diagrammatic representation of a networked environment in which the present disclosure may be deployed, according to some examples.

[0009] Figure 2 is a diagrammatic representation of a messaging system having both client-side and server-side functionality, according to some examples.

[0010] Figure 3 is a diagrammatic representation of data structures maintained in a database according to some examples.

[0011] Figure 4 is a diagrammatic representation of messages according to some examples.

[0012] Figure 5 A system including a head-mounted device according to some examples is shown.

[0013] Figure 6 is a diagrammatic representation of a machine in the form of a computer system within which a set of instructions may be executed, for causing the machine to perform any one or more of the methodologies discussed herein, according to some examples.

[0014] Figure 7 is a block diagram illustrating a software architecture in which examples may be implemented.

[0015] Figure 8 A process for performing targeted image adjustment according to one embodiment is shown.

[0016] Figure 9 An adjustment interface according to one embodiment is shown.

[0017] Figure 10 An adjustment interface according to one embodiment is shown. DETAILED DESCRIPTION

[0018] Embodiments of the present disclosure improve the functionality of camera systems and electronic messaging software and systems by generating targeted adjustments for media content items including images (e.g., photos and videos) captured using a camera that account for different skin tones in each situation or lighting condition. This ensures that the camera and messaging system can produce high-quality images fairly for each user and, therefore, improves the camera experience for all users.

[0019] Specifically, embodiments of the present disclosure describe a targeted image adjustment system that implements an algorithm that automatically identifies at least one image adjustment parameter and at least one adjustment value to be applied to a media content item in order to generate an adjusted media content item. The image adjustment parameters may include, for example, brightness, hue, temperature, contrast, gamma, sharpness, etc. The media content item may be a pre-captured image or video that is displayed in a viewfinder of a user system and pre-processed by the targeted image adjustment system, or it may be an image or video that is captured using a camera device of the user system and post-processed by the targeted image adjustment system. The pre-captured image or video is an image or video that has not yet been captured and stored by the camera device but is being displayed in the viewfinder as a preview to the user of the camera device.

[0020] The targeted image adjustment system can therefore automatically improve the media content item by changing the adjustment parameters that the user is most likely to expect. For example, if the media content item is a photo that includes a face that is invisible due to the lighting in the photo, the targeted image adjustment system can automatically determine to remove shadows by reducing the contrast of the image or increasing the brightness of the image. The algorithm can be programmed based on test image adjustment parameters, test adjustment values, and test media content items. For example, the test image adjustment parameters and test adjustment values can be provided by a professional photographer so that these parameters and value expressions need to be changed to the desired effect of the test media content item. The targeted image adjustment system can also include a neural network or machine learning system trained using the test image adjustment parameters, test adjustment values, and test media content items.

[0021] Targeted image adjustment system can identify an image adjustment parameter (for example, tone) that needs to be applied to media content item the most.In one example, targeted image adjustment system makes on user equipment, display adjustment interface, and this adjustment interface comprises the adjusted media content item that has applied automatic targeted image adjustment.Adjustment interface also comprises the optional item that is associated with image adjustment parameter (for example, tone), and this optional item enables the user of user equipment to further change the adjustment value of image adjustment parameter so that adjusted media content item is fine-tuned.For example, although targeted image adjustment system has automatically increased or reduced the tone of media content item to generate adjusted media content item, the user can use optional item to further increase or reduce the tone of adjusted media content item.

[0022] The targeted image adjustment system can also identify image adjustment parameters and adjustment values based on camera personalization settings (e.g., for a camera or user system) associated with the skin color or skin undertone of a user of the user system. The camera personalization settings can be used to determine pre-capture settings and post-processing settings. The pre-capture settings can be stored on the user system so that they are personalized for the user of the user system, and the pre-capture settings can be used to calibrate the camera of the client. In addition, when the camera is used to capture an image, the targeted image adjustment system can receive a media content item including the image, and use the post-processing settings to modify the media content item to generate an adjusted media content item.

[0023] Networked computing environment

[0024] Figure 1 1 is a block diagram illustrating an example interactive system 100 for facilitating interactions over a network (e.g., exchanging text messages, conducting text, audio, and video calls, or playing games). The interactive system 100 includes a plurality of client systems 102, each of which hosts a plurality of applications including an interactive client 104 and other applications 106. Each interactive client 104 is communicatively coupled to other instances of the interactive client 104 (e.g., hosted on respective other user systems 102), an interactive server system 110, and third-party servers 112 via one or more communication networks including a network 108 (e.g., the Internet). The interactive client 104 can also communicate with the locally hosted application 106 using an application programming interface (API).

[0025] Each user system 102 may include multiple user devices, such as a mobile device 114, a head mounted device 116, and a computer client device 118, which may be communicatively connected to exchange data and messages.

[0026] The interactive clients 104 interact with other interactive clients 104 and with the interactive server system 110 via the network 108. The data exchanged between the interactive clients 104 (e.g., interaction 120) and between the interactive clients 104 and the interactive server system 110 includes functions (e.g., commands for activating functions) and payload data (e.g., text, audio, video, or other multimedia data).

[0027] The interactive server system 110 provides server-side functionality to the interactive clients 104 via the network 108. Although certain functions of the interactive system 100 are described herein as being performed by either the interactive client 104 or the interactive server system 110, the location of certain functions within the interactive client 104 or within the interactive server system 110 may be a design choice. For example, it may be technically preferable to initially deploy certain technologies and functions within the interactive server system 110, but later migrate the technologies and functions to the interactive client 104 where the user system 102 has sufficient processing power.

[0028] The interactive server system 110 supports various services and operations provided to the interactive clients 104. Such operations include sending data to the interactive clients 104, receiving data from the interactive clients 104, and processing data generated by the interactive clients 104. The data may include message content, client device information, geographic location information, media enhancements and overlays, message content persistence conditions, social network information, and live event information. The data exchange within the interactive system 100 is activated and controlled by functions available through the user interface (UI) of the interactive clients 104.

[0029] Turning now specifically to the interaction server system 110, an application program interface (API) server 122 is coupled to the interaction server 124 and provides a programming interface thereto, making the functionality of the interaction server 124 accessible to the interaction clients 104, other applications 106, and third-party servers 112. The interaction server 124 is communicatively coupled to a database server 126, thereby facilitating access to a database 128 that stores data associated with interactions processed by the interaction server 124. Similarly, a web server 130 is coupled to the interaction server 124 and provides a web-based interface to the interaction server 124. To this end, the web server 130 processes incoming network requests via the Hypertext Transfer Protocol (HTTP) and several other related protocols.

[0030] The application program interface (API) server 122 receives and sends interaction data (e.g., commands and message payloads) between the interaction server 124 and the client system 102 (and, for example, the interaction client 104 and other applications 106), as well as the third-party server 112. Specifically, the application program interface (API) server 122 provides a set of interfaces (e.g., routines and protocols) that the interaction client 104 and other applications 106 can call or query to activate the functionality of the interaction server 124. The application program interface (API) server 122 exposes various functions supported by the interaction server 124, including: account registration; login functionality; sending interaction data from a particular interaction client 104 to another interaction client 104 via the interaction server 124; transferring media files (e.g., images or videos) from the interaction client 104 to the interaction server 124; setting up a collection of media data (e.g., a story); retrieving a friend list of a user of the user system 102; retrieving messages and content; adding and removing entities (e.g., friends) from an entity graph (e.g., a social graph); locating friends in a social graph; and opening application events (e.g., related to the interaction client 104).

[0031] Interactive server 124 hosts multiple systems and subsystems, see below Figure 2 Provide a description.

[0032] System Architecture

[0033] Figure 2 1 is a block diagram illustrating further details regarding the interactive system 100 according to some examples. Specifically, the interactive system 100 is shown as including an interactive client 104 and an interactive server 124. The interactive system 100 includes a plurality of subsystems that are supported on the client side by the interactive client 104 and on the server side by the interactive server 124. Example subsystems are discussed below.

[0034] Image processing system 202 provides various functions that enable a user to capture and enhance (eg, annotate or otherwise modify or edit) media content associated with a message.

[0035] The camera system 204 includes control software (e.g., in a camera application) that interacts with and controls the hardware camera hardware of the user system 102 (e.g., directly or via operating system control) to modify and enhance the real-time images captured and displayed via the interactive client 104.

[0036] Targeted image adjustment system 234 controls settings associated with the camera included in user system 102 for use with interactive system 100. These settings may include pre-capture settings and post-processing settings. Targeted image adjustment system 234 may cause the camera included in user system 102 to be calibrated according to the pre-capture settings. Targeted image adjustment system 234 may store the pre-capture settings in a memory of user system 102. Targeted image adjustment system 234 may be configured to work with image processing system 202 to perform various image processing operations on media content items (e.g., images or videos), including performing post-processing according to post-processing settings. Targeted image adjustment system 234 may identify image adjustment parameters and adjustment values associated with the image adjustment parameters that need to be applied to the media content items (e.g., increase temperature by 10%). Image adjustment parameters may include, for example, brightness, hue, temperature, contrast, gamma, sharpness, etc. Targeted image adjustment system 234 may apply targeted adjustments to generate adjusted media content items using the identified image adjustment parameters and adjustment values. In one example, the targeted image adjustment system 234 may also cause an adjustment interface to be displayed, the adjustment interface including the adjusted media content item and selectable items, such as sliders or dials, including multiple settings associated with image adjustment parameters to enable the user to further modify the adjusted media content item by changing the level or adjustment value of the applied image adjustment parameter. Based on the fine-tuning adjustments made by the user via the selectable items, the targeted image adjustment system 234 may further adjust how it identifies the image adjustment parameter or the adjustment value it identifies, and automatically apply the targeted adjustments to future media content items.

[0037] The enhancement system 206 provides functionality related to the generation and publication of enhancements (e.g., media overlays) for images captured in real time by the camera of the user system 102 or retrieved from the memory of the user system 102. For example, the enhancement system 206 is operable to select, present, and display media overlays (e.g., image filters or image lenses) to the interactive client 104 for enhancing real-time images received via the camera system 204 or stored images retrieved from the memory 502 of the user system 102. These enhancements are selected and presented to the user of the interactive client 104 by the enhancement system 206 based on inputs and data, such as:

[0038] The geographic location of the user system 102; and

[0039] Social network information of users of the user system 102 .

[0040] The enhancement may include audio and visual content and visual effects. Examples of audio and visual content include pictures, text, logos, animations, and sound effects. Examples of visual effects include color overlays. Audio and visual content or visual effects may be applied to media content items (e.g., photos or videos) at user systems 102 for transmitting in messages, or may be applied to video content such as video content streams or feeds sent from interactive clients 104. Therefore, image processing system 202 may interact with and support various subsystems of communication system 208, such as messaging system 210 and video communication system 212.

[0041] Media overlays can include text or image data that can be superimposed on a photo taken by user system 102 or a video stream produced by user system 102. In some examples, the media overlay can be a location overlay (e.g., Venice Beach), the name of a live event, or a business name overlay (e.g., Beach Cafe). In other examples, image processing system 202 uses the geographic location of user system 102 to identify a media overlay that includes the name of a business at the geographic location of user system 102. The media overlay may include other tags associated with the business. The media overlay may be stored in database 128 and accessed by database server 126.

[0042] Image processing system 202 provides a user-based publishing platform that enables users to select a geographic location on a map and upload content associated with the selected geographic location. Users can also specify situations in which specific media overlays should be provided to other users. Image processing system 202 generates a media overlay that includes the uploaded content and associates it with the selected geographic location.

[0043] The augmented reality creation system 214 supports the augmented reality developer platform and includes applications for content creators (e.g., artists and developers) to create and publish augmentations (e.g., augmented reality experiences) for the interactive clients 104. The augmented reality creation system 214 provides content creators with a library of built-in features and tools, including, for example, custom shaders, tracking techniques, and templates.

[0044] In some examples, the enhancement creation system 214 provides a merchant-based publishing platform that enables merchants to select specific enhancements associated with a geographic location through a bidding process. For example, the enhancement creation system 214 associates the highest bidding merchant's media overlay with the corresponding geographic location for a predefined amount of time.

[0045] The communication system 208 is responsible for enabling and processing various forms of communication and interaction within the interactive system 100 and includes a messaging system 210, an audio communication system 216, and a video communication system 212. The messaging system 210 is responsible for enforcing temporary or time-limited access to content by the interactive clients 104. The messaging system 210 includes a plurality of timers (e.g., in a transient timer system 218) that selectively enable access (e.g., for presentation and display) of messages and associated content via the interactive clients 104 based on duration and display parameters associated with a message or a collection of messages (e.g., a story). Additional details regarding the operation of the transient timer system 218 are provided below. The audio communication system 216 enables and supports audio communication (e.g., real-time audio chat) between multiple interactive clients 104. Similarly, the video communication system 212 enables and supports video communication (e.g., real-time video chat) between multiple interactive clients 104.

[0046] The user management system 220 is operationally responsible for managing user data and profiles, and includes a social networking system 222 , which maintains information about relationships between users of the interactive system 100 .

[0047] The collection management system 224 is operationally responsible for managing collections or collections of media (e.g., collections of text, images, video, and audio data). Collections of content (e.g., messages, including images, video, text, and audio) can be organized into "event libraries" or "event stories." Such collections can be made available for a specified time period (e.g., the duration of the event to which the content relates). For example, content related to a concert can be made available as a "story" for the duration of the concert. The collection management system 224 is also responsible for publishing an icon to the user interface of the interactive client 104 that provides notification of a particular collection. The collection management system 224 includes curation functionality that enables collection managers to manage and curate specific content collections. For example, a curation interface enables event organizers to curate collections of content related to a specific event (e.g., removing inappropriate content or redundant messages). In addition, the collection management system 224 employs machine vision (or image recognition technology) and content rules to automatically curate content collections. In some examples, users can be compensated for including user-generated content in a collection. In such cases, the collection management system 224 operates to automatically pay such users for use of their content.

[0048] The mapping system 226 provides various geolocation functions and supports the presentation of map-based media content and messages by the interactive client 104. For example, the mapping system 226 enables the display of a user icon or avatar (e.g., stored in the profile data 302) on a map to indicate the current or past locations of the user's "friends" within the context of the map, as well as media content generated by these friends (e.g., a collection of messages including photos and videos). For example, on the map interface of the interactive client 104, a message posted by the user to the interactive system 100 from a particular geographic location can be displayed to the "friends" of a particular user within the context of a map of that particular location. A user can also share his or her location and status information with other users of the interactive system 100 via the interactive client 104 (e.g., using an appropriate status avatar), where the location and status information is similarly displayed to selected users within the context of the map interface of the interactive client 104.

[0049] The gaming system 228 provides various gaming functions within the context of the interactive client 104. The interactive client 104 provides a gaming interface that provides a list of available games that can be launched by a user within the context of the interactive client 104 and played with other users of the interactive system 100. The interactive system 100 also enables a particular user to invite other users to play a particular game by sending an invitation to such other users from the interactive client 104. The interactive client 104 also supports voice, video, and text messaging (e.g., chat) within the context of game play, provides leaderboards for games, and also supports the provision of in-game rewards (e.g., game coins and items).

[0050] The external resource system 230 provides an interface for the interactive client 104 to communicate with a remote server (e.g., a third-party server 112) to launch or access external resources (i.e., applications or applets). Each third-party server 112 hosts, for example, an application or a small-scale version of an application (e.g., a game application, a utility application, a payment application, or a ride-sharing application) based on a markup language (e.g., HTML5). The interactive client 104 can launch a web-based resource (e.g., an application) by accessing an HTML5 file from a third-party server 112 associated with the web-based resource. The applications hosted by the third-party server 112 are programmed in JavaScript using a software development kit (SDK) provided by the interactive server 124. The SDK includes an application program interface (API) with functions that can be called or activated by a web-based application. The interactive server 124 hosts a JavaScript library that provides access to a given external resource for specific user data of the interactive client 104. HTML5 is an example of a technology for programming games, but applications and resources programmed based on other technologies can be used.

[0051] To integrate the SDK's functionality into a web-based resource, the third-party server 112 downloads the SDK from the interaction server 124, or the third-party server 112 receives the SDK in some other manner. Once downloaded or received, the SDK is included as part of the application code of the web-based external resource. The code of the web-based resource can then call or activate certain functions of the SDK to integrate the features of the interaction client 104 into the web-based resource.

[0052] The SDK stored on the interactive server system 110 effectively provides a bridge between external resources (e.g., applications 106 or applets) and the interactive client 104. This gives the user a seamless experience of communicating with other users on the interactive client 104 while also preserving the appearance of the interactive client 104. In order to bridge the communication between the external resources and the interactive client 104, the SDK facilitates communication between the third-party server 112 and the interactive client 104. The WebViewJavaScriptBridge running on the user system 102 establishes two one-way communication channels between the external resources and the interactive client 104. Messages are sent asynchronously between the external resources and the interactive client 104 via these communication channels. Each SDK function activation is sent as a message and a callback. Each SDK function is implemented by constructing a unique callback identifier and sending a message with the callback identifier.

[0053] By using the SDK, not all information from the interactive client 104 is shared with the third-party server 112. The SDK limits which information is shared based on the needs of the external resource. Each third-party server 112 provides an HTML5 file corresponding to the web-based external resource to the interactive server 124. The interactive server 124 can add a visual representation of the web-based external resource (e.g., a box design or other graphics) in the interactive client 104. Once the user selects the visual representation or instructs the interactive client 104 to access a feature of the web-based external resource through the GUI of the interactive client 104, the interactive client 104 obtains the HTML5 file and instantiates the resource for accessing the feature of the web-based external resource.

[0054] The interactive client 104 presents a graphical user interface (e.g., a login page or title screen) for the external resource. During, before, or after presenting the login page or title screen, the interactive client 104 determines whether the launched external resource has previously been authorized to access the user data of the interactive client 104. In response to determining that the launched external resource has previously been authorized to access the user data of the interactive client 104, the interactive client 104 presents another graphical user interface of the external resource including the functions and features of the external resource. In response to determining that the launched external resource has not previously been authorized to access the user data of the interactive client 104, after displaying the login page or title screen of the external resource for a threshold period of time (e.g., 3 seconds), the interactive client 104 slides up a menu (e.g., animating the menu to emerge from the bottom of the screen to the middle or other portion of the screen) for authorizing the external resource to access the user data. The menu identifies the type of user data that the external resource is authorized to use. In response to receiving a user selection of the accept option, the interactive client 104 adds the external resource to the list of authorized external resources and allows the external resource to access the user data from the interactive client 104. External resources are authorized by the interactive client 104 to access user data under the OAuth 2 framework.

[0055] The interaction client 104 controls the type of user data shared with the external resource based on the type of external resource that is authorized. For example, an external resource comprising a full-scale application (e.g., application 106) is provided with access to a first type of user data (e.g., a two-dimensional avatar of the user with or without different avatar characteristics). As another example, an external resource comprising a small-scale version of an application (e.g., a web-based version of the application) is provided with access to a second type of user data (e.g., payment information, a two-dimensional avatar of the user, a three-dimensional avatar of the user, and an avatar with various avatar characteristics). Avatar characteristics include different ways to customize the appearance of an avatar (e.g., different poses, facial features, clothing, etc.).

[0056] The advertising system 232 is operative to enable third parties to purchase advertisements for presentation to end users via the interactive clients 104 and also to handle the delivery and presentation of these advertisements.

[0057] Data Architecture

[0058] Figure 3 is a diagram illustrating a data structure 300 that may be stored in a database 304 of the interactive server system 110 according to certain examples. Although the contents of the database 304 are shown as including a plurality of tables, it should be understood that data may be stored in other types of data structures (e.g., an object-oriented database).

[0059] The database 304 includes message data stored in a message table 306. For any particular message, the message data includes at least message sender data, message recipient (or receiver) data, and payload. Figure 3 Additional details regarding information that may be included in a message and within the message data stored in message table 306 are described.

[0060] The entity table 308 stores entity data and is linked (e.g., by reference) to the entity graph 310 and the profile data 302. Entities for which records are maintained within the entity table 308 may include individuals, corporate entities, organizations, objects, places, events, and the like. Regardless of the entity type, any entity for which the interactive server system 110 stores data may be an identified entity. Each entity is provided with a unique identifier and an entity type identifier (not shown).

[0061] The entity graph 310 stores information about relationships and associations between entities. By way of example only, such relationships may be social, professional (e.g., working at a common company or organization), interest-based, or activity-based. Some relationships between entities may be one-way, such as a subscription by an individual user to digital content from a business or publication (e.g., a newspaper or other digital media channel or brand). Other relationships may be two-way, such as a "friend" relationship between individual users of the interactive system 100.

[0062] Certain permissions and relationships can be attached to each relationship, and can also be attached to each direction of the relationship. For example, a two-way relationship (e.g., a friend relationship between individual users) can include authorization to publish digital content items between the individual users, but can impose certain restrictions or filters on the publication of such digital content items (e.g., based on content characteristics, location data, or time of day data). Similarly, a subscription relationship between an individual user and a business user can impose varying degrees of restrictions on the publication of digital content from the business user to the individual user, and can significantly limit or prevent the publication of digital content from the individual user to the business user. As an example of an entity, a particular user can record certain restrictions in the record for that entity within the entity table 308 (e.g., through privacy settings). Such privacy settings can apply to all types of relationships in the context of the interactive system 100, or can be selectively applied to certain types of relationships.

[0063] Profile data 302 stores various types of profile data about a particular entity. Based on the privacy settings specified by the particular entity, profile data 302 can be selectively used and presented to other users of the interactive system 100. In the case where the entity is a person, profile data 302 includes, for example, the user's name, phone number, address, settings (e.g., notification and privacy settings), and an avatar representation (or a collection of such avatar representations) selected by the user. The particular user can then selectively include one or more of these avatar representations within the content of messages transmitted via the interactive system 100 and on a map interface displayed to other users by the interactive client 104. The collection of avatar representations can include a "status avatar," which presents a graphical representation of the user's status or activity that they may choose to transmit at a particular time.

[0064] Where the entity is a group, the profile data 302 for the group may similarly include one or more avatar representations associated with the group, in addition to the group name, members, and various settings for the relevant group (eg, notifications).

[0065] Database 304 also stores enhancement data, such as overlays or filters, in enhancement table 312. Enhancement data is associated with and applied to videos (video data is stored in video table 314) and images (image data is stored in image table 316).

[0066] In some examples, a filter is displayed as an overlay on an image or video during presentation to a recipient user. Filters can be of various types, including filters selected by the user from a set of filters that the interactive client 104 presents to the sending user while the sending user is composing a message. Other types of filters include geolocation filters (also known as geofilters), which can be presented to the sending user based on geographic location. For example, a geolocation filter specific to a nearby or special location can be presented within the user interface by the interactive client 104 based on geographic location information determined by a global positioning system (GPS) unit of the user system 102.

[0067] Another type of filter is a data filter, which can be selectively presented to the sending user by the interaction client 104 based on other input or information collected during the message creation process by the user system 102. Examples of data filters include the current temperature at a particular location, the current speed the sending user is traveling, the battery life of the user system 102, or the current time.

[0068] Other augmented data that can be stored in the image table 316 include augmented reality content items (e.g., corresponding to application "lenses" or augmented reality experiences). Augmented reality content items can be real-time special effects and sounds that can be added to images or videos.

[0069] The story table 318 stores data about a collection of messages and associated images, video, or audio data that are compiled into a collection (e.g., a story or gallery). The creation of a particular collection can be initiated by a particular user (e.g., each user for whom a record is maintained in the entity table 308). A user can create a "personal story" in the form of a collection of content that has been created and sent / broadcasted by the user. To this end, the user interface of the interaction client 104 can include a user-selectable icon that enables the sending user to add specific content to his or her personal story.

[0070] The collection can also constitute a "live story", which is a collection of content from multiple users created manually, automatically, or using a combination of manual and automatic techniques. For example, a "live story" can constitute a curated stream of user-submitted content from different locations and events. Users whose client devices or user devices have location services enabled and are at a common location event at a particular time can be presented with the option of contributing content to a particular live story, for example, via the user interface of the interactive client 104. Live stories can be identified to the user by the interactive client 104 based on his or her location. The end result is a "live story" told from the perspective of the group.

[0071] Another type of content collection is called a "location story," which enables users whose user systems 102 are located in a particular geographic location (e.g., on a college or university campus) to contribute to a particular collection. In some examples, contributions to location stories may employ secondary authentication to verify that the end user belongs to a particular organization or other entity (e.g., is a student on a university campus).

[0072] As mentioned above, video table 314 stores video data that, in some examples, is associated with messages for which records are maintained within message table 306. Similarly, image table 316 stores image data associated with messages whose message data is stored in entity table 308. Entity table 308 can associate various enhancements from enhancement table 312 with the various images and videos stored in image table 316 and video table 314.

[0073] The database 304 also includes a targeted adjustment table 320, which stores data for training the targeted image adjustment system 234. For example, the targeted image adjustment system 234 can include a neural network, a machine learning system, or an algorithm. Test image adjustment parameters, multiple test adjustment values, and multiple test media content items can be used to train the neural network, machine learning system, or algorithm so that image adjustment parameters and adjustment values can be identified based on the media content items received. The targeted adjustment table 320 can store test image adjustment parameters, test adjustment values, test media content items, and received media content items, generated image adjustment parameters, and adjustment values. The targeted adjustment table 320 can also store the user's selection of the setting of the image adjustment parameters for further fine-tuning the adjusted media content items.

[0074] Additionally, metadata associated with media content items (e.g., images or videos) publicly shared on the interactive server system 110 may be stored in the targeted adjustment table 320. The metadata may indicate pre-capture settings of the camera that captured the media content item, the type of camera used to capture the media content item and post-processing settings applied to the media content item, setting selections associated with the camera (e.g., skin tone, skin undertone, etc.), background color, lighting conditions, etc.

[0075] Data communication architecture

[0076] Figure 4 is a schematic diagram illustrating the structure of a message 400 according to some examples, the message 400 being generated by an interaction client 104 for transmission to another interaction client 104 via an interaction server 124. The content of a particular message 400 is used to populate a message table 306 stored within a database 304 accessible by the interaction server 124. Similarly, the content of the message 400 is stored in memory as "in-transit" or "in-flight" data of the user system 102 or the interaction server 124. The message 400 is shown as including the following example components:

[0077] Message identifier 402 : A unique identifier that identifies the message 400 .

[0078] Message text payload 404 : Text to be generated by the user via the user interface of the user system 102 and included in the message 400 .

[0079] • Message image payload 406: Image data captured by the camera component of the user system 102 or retrieved from the memory component of the user system 102 and included in the message 400. The image data for a message 400 sent or received may be stored in the image table 316.

[0080] • Message video payload 408: Video data captured by the camera component or retrieved from the memory component of the user system 102 and included in the message 400. The video data for a message 400 sent or received may be stored in the image table 316.

[0081] • Message audio payload 410 : audio data captured by a microphone or retrieved from a memory component of the user system 102 and included in the message 400 .

[0082] Message enhancement data 412: Enhancement data (e.g., filters, stickers, or other annotations or enhancements) representing enhancements to be applied to the message image payload 406, message video payload 408, or message audio payload 410 of the message 400. Enhancement data for a sent or received message 400 may be stored in the enhancement table 312.

[0083] • Message duration parameter 414: A parameter value indicating the amount of time, in seconds, that the content of the message (e.g., message image payload 406, message video payload 408, message audio payload 410) is to be presented to or made accessible to the user via the interactive client 104.

[0084] Message geolocation parameters 416: Geolocation data (e.g., latitude and longitude coordinates) associated with the content payload of the message. Multiple message geolocation parameter 416 values may be included in the payload, with each of these parameter values being associated with a content item included in the content (e.g., a specific image within the message image payload 406 or a specific video within the message video payload 408).

[0085] Message story identifier 418: An identifier value that identifies one or more content collections (e.g., a "story" identified in stories table 318) associated with a particular content item in message image payload 406 of message 400. For example, the identifier value can be used to associate multiple images within message image payload 406 with multiple content collections.

[0086] Message tags 420: Each message 400 can be tagged with a plurality of tags, each of which indicates the subject matter of the content included in the message payload. For example, if a particular image included in the message image payload 406 depicts an animal (e.g., a lion), a tag value can be included within the message tags 420 indicating the relevant animal. The tag value can be manually generated based on user input, or can be automatically generated using, for example, image recognition.

[0087] • Message sender identifier 422: An identifier (eg, a messaging system identifier, an email address, or a device identifier) that indicates the user of the user system 102 on which the message 400 was generated and from which the message 400 was sent.

[0088] • Message recipient identifier 424: Indicates an identifier (eg, a messaging system identifier, email address, or device identifier) of the user of user system 102 to which message 400 is addressed.

[0089] The content (e.g., value) of each component of message 400 may be a pointer to a location in a table where the content data value is stored. For example, the image value in message image payload 406 may be a pointer to a location (or its address) within image table 316. Similarly, the value within message video payload 408 may point to data stored within image table 316, the value stored within message enhancement data 412 may point to data stored in enhancement table 312, the value stored within message story identifier 418 may point to data stored in story table 318, and the values stored within message sender identifier 422 and message recipient identifier 424 may point to user records stored in entity table 308.

[0090] System with head-mounted device

[0091] Figure 5 A system 500 is shown that includes a head-mounted device 116 according to some examples. Figure 5 is a high-level functional block diagram of an example head mounted device 116 communicatively coupled to a mobile device 114 and various server systems 504 (e.g., interactive server system 110) via various networks 108.

[0092] The head mounted device 116 includes one or more cameras, each of which may be, for example, a visible light camera 506 , an infrared emitter 508 , and an infrared camera 510 .

[0093] The mobile device 114 is connected to the headset 116 using both a low power wireless connection 512 and a high speed wireless connection 514. The mobile device 114 is also connected to the server system 504 and the network 516.

[0094] The head-mounted device 116 also includes two image displays in the optical assembly's image displays 518. The two optical assembly image displays 518 include an image display associated with the left lateral side of the head-mounted device 116 and an image display associated with the right lateral side of the head-mounted device 116. The head-mounted device 116 also includes an image display driver 520, an image processor 522, low-power circuits 524, and high-speed circuits 526. The optical assembly's image displays 518 are used to present images and video, including images that may include a graphical user interface, to a user of the head-mounted device 116.

[0095] The image display driver 520 commands and controls the image display 518 of the optical assembly. The image display driver 520 can deliver image data directly to the image display 518 of the optical assembly for presentation or can convert the image data into a signal or data format suitable for delivery to an image display device. For example, the image data can be video data formatted according to a compression format such as H.264 (MPEG-4 Part 10), HEVC, Theora, Dirac, RealVideo RV40, VP8, VP9, etc., while the still image data can be formatted according to a compression format such as Portable Network Graphics (PNG), Joint Photographic Experts Group (JPEG), Tagged Image File Format (TIFF), or Exchangeable Image File Format (EXIF).

[0096] The head-mounted device 116 includes a frame and stems (or temples) extending from lateral sides of the frame. The head-mounted device 116 also includes a user input device 528 (e.g., a touch sensor or push buttons), comprising an input surface on the head-mounted device 116. The user input device 528 (e.g., a touch sensor or push buttons) is used to receive input selections from the user for manipulating the graphical user interface of the presented image.

[0097] Figure 5 The components of the head-mounted device 116 shown in FIG are located on one or more circuit boards (e.g., PCBs or flexible PCBs) in the frame or temples. Alternatively or additionally, the depicted components may be located in chunks, frames, hinges, or nosepieces of the head-mounted device 116. The left and right visible light cameras 506 may include digital camera elements, such as complementary metal oxide semiconductor (CMOS) image sensors, charge coupled devices, camera lenses, or any other corresponding visible light or light capturing elements that can be used to capture data, including images of a scene with an unknown object.

[0098] The head mounted device 116 includes a memory 502 that stores instructions for performing a subset or all of the functions described herein. The memory 502 may also include a storage device.

[0099] like Figure 5 As shown, high-speed circuitry 526 includes a high-speed processor 530, memory 502, and high-speed wireless circuitry 532. In some examples, image display driver 520 is coupled to high-speed circuitry 526 and is operated by high-speed processor 530 to drive the left and right image displays in image display 518 of the optical assembly. High-speed processor 530 can be any processor capable of managing high-speed communications and operations of any general-purpose computing system required by head-mounted device 116. High-speed processor 530 includes the processing resources required to manage high-speed data transmission over high-speed wireless connection 514 to a wireless local area network (WLAN) using high-speed wireless circuitry 532. In some examples, high-speed processor 530 executes an operating system (e.g., a Linux operating system) or other such operating system for head-mounted device 116, and the operating system is stored in memory 502 for execution. In addition to any other responsibilities, high-speed processor 530, which executes the software architecture of head-mounted device 116, manages data transmission with high-speed wireless circuitry 532. In some examples, high-speed wireless circuitry 532 is configured to implement the Institute of Electrical and Electronics Engineers (IEEE) 802.11 communication standard, also referred to herein as WiFi. In some examples, high-speed wireless circuitry 532 can implement other high-speed communication standards.

[0100] The low-power wireless circuit 534 and the high-speed wireless circuit 532 of the headset 116 may include a short-range transceiver (Bluetooth TM ) and a wireless wide area network transceiver, a wireless local area network transceiver, or a wide area network transceiver (e.g., cellular or WiFi). The mobile device 114, including a transceiver for communicating via the low power wireless connection 512 and the high speed wireless connection 514, can be implemented using details of the architecture of the head mounted device 116, as can other elements of the network 516.

[0101] Memory 502 comprises any storage device capable of storing various data and applications, including camera data generated by left and right visible light cameras 506, infrared camera 510, and image processor 522, as well as images generated for display on an image display 518 of the optical assembly via image display driver 520. Although memory 502 is shown as being integrated with high-speed circuitry 526, in some examples, memory 502 may be a separate, independent component of head-mounted device 116. In some such examples, electrical wiring may provide a connection from image processor 522 or low-power processor 536 to memory 502 via a chip including high-speed processor 530. In some examples, high-speed processor 530 may manage addressing of memory 502 so that low-power processor 536 will initiate high-speed processor 530 whenever a read or write operation involving memory 502 is required.

[0102] like Figure 5 As shown, the low-power processor 536 or the high-speed processor 530 of the head-mounted device 116 can be coupled to a camera device (a visible light camera device 506, an infrared emitter 508 or an infrared camera device 510), an image display driver 520, a user input device 528 (for example, a touch sensor or a push button) and a memory 502.

[0103] The headset 116 is connected to a host computer. For example, the headset 116 is paired with the mobile device 114 via a high-speed wireless connection 514 or is connected to a server system 504 via a network 516. The server system 504 can be one or more computing devices that are part of a service or network computing system, for example, including a processor, memory, and a network communication interface to communicate with the mobile device 114 and the headset 116 via the network 516.

[0104] The mobile device 114 includes a processor and a network communication interface coupled to the processor. The network communication interface enables communication via a network 516, a low-power wireless connection 512, or a high-speed wireless connection 514. The mobile device 114 may also store at least a portion of the instructions for generating binaural audio content in a memory of the mobile device 114 to implement the functionality described herein.

[0105] The output components of the head-mounted device 116 include visual components, such as a display (e.g., a liquid crystal display (LCD), a plasma display panel (PDP), a light-emitting diode (LED) display, a projector, or a waveguide). The image display of the optical assembly is driven by the image display driver 520. The output components of the head-mounted device 116 also include acoustic components (e.g., speakers), tactile components (e.g., vibration motors), other signal generators, etc. The input components of the head-mounted device 116, the mobile device 114, and the server system 504 (e.g., user input devices 528) may include alphanumeric input components (e.g., a keyboard, a touch screen configured to receive alphanumeric input, an optical keyboard, or other alphanumeric input components), point-based input components (e.g., a mouse, touchpad, trackball, joystick, motion sensor, or other pointing instrument), tactile input components (e.g., physical buttons, a touch screen or other tactile input components that provide the location and force of a touch or touch gesture), audio input components (e.g., a microphone), etc.

[0106] The head-mounted device 116 may also include additional peripheral elements. Such peripheral elements may include biometric sensors, additional sensors, or display elements integrated with the head-mounted device 116. For example, the peripheral elements may include any I / O components, including output components, motion components, positioning components, or any other such components described herein.

[0107] For example, the biometric component includes a component for detecting expressions (e.g., hand expressions, facial expressions, voice expressions, body postures, or eye tracking), measuring biological signals (e.g., blood pressure, heart rate, body temperature, sweating, or brain waves), identifying people (e.g., voice recognition, retinal recognition, facial recognition, fingerprint recognition, or electroencephalogram-based recognition), etc. The motion component includes an acceleration sensor component (e.g., an accelerometer), a gravity sensor component, a rotation sensor component (e.g., a gyroscope), etc. The positioning component includes a position sensor component for generating position coordinates (e.g., a global positioning system (GPS) receiver component), a Wi-Fi or Bluetooth receiver for generating positioning system coordinates, etc. TM transceiver, altitude sensor components (e.g., an altimeter or barometer that detects air pressure, from which altitude can be derived), orientation sensor components (e.g., a magnetometer), etc. Such positioning system coordinates can also be received from the mobile device 114 via the low-power wireless connection 512 and the high-speed wireless connection 514 via the low-power wireless circuit 534 or the high-speed wireless circuit 532.

[0108] Machine Architecture

[0109] Figure 66 is a diagrammatic representation of a machine 600 within which instructions 602 (e.g., software, programs, applications, applet, apps, or other executable code) may be executed for causing the machine 600 to perform any one or more of the methodologies discussed herein. For example, the instructions 602 may cause the machine 600 to perform any one or more of the methodologies described herein. The instructions 602 transform a general-purpose, unprogrammed machine 600 into a specialized machine 600 that is programmed to perform the functions described and illustrated in the manner described. The machine 600 may operate as a standalone device or may be coupled (e.g., networked) to other machines. In a networked deployment, the machine 600 may operate as a server or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine 600 may include, but is not limited to, a server computer, a client computer, a personal computer (PC), a tablet computer, a laptop computer, a netbook, a set-top box (STB), a personal digital assistant (PDA), an entertainment media system, a cellular phone, a smartphone, a mobile device, a wearable device (e.g., a smart watch), a smart home device (e.g., a smart appliance), other smart devices, a web device, a network router, a network switch, a network bridge, or any machine capable of sequentially or otherwise executing instructions 602 specifying actions to be taken by the machine 600. In addition, although only a single machine 600 is shown, the term "machine" should also be construed to include a collection of machines that individually or jointly execute instructions 602 to perform any one or more of the methods discussed herein. For example, the machine 600 may include the user system 102 or any of a plurality of server devices forming part of the interactive server system 110. In some examples, the machine 600 may also include both a client system and a server system, wherein certain operations of a particular method or algorithm are performed on the server side and certain operations of the particular method or algorithm are performed on the client side.

[0110] The machine 600 may include a processor 604, a memory 606, and input / output I / O components 608 that may be configured to communicate with each other via a bus 610. In an example, the processor 604 (e.g., a central processing unit (CPU), a reduced instruction set computing (RISC) processor, a complex instruction set computing (CISC) processor, a graphics processing unit (GPU), a digital signal processor (DSP), an application specific integrated circuit (ASIC), a radio frequency integrated circuit (RFIC), another processor, or any suitable combination thereof) may include, for example, a processor 612 that executes instructions 602 and a processor 614. The term "processor" is intended to include multi-core processors, which may include two or more independent processors (sometimes referred to as "cores") that may execute instructions concurrently. Although Figure 6 Multiple processors 604 are shown, but the machine 600 may include a single processor with a single core, a single processor with multiple cores (e.g., a multi-core processor), multiple processors with a single core, multiple processors with multiple cores, or any combination thereof.

[0111] The memory 606 includes a main memory 616, a static memory 618, and a storage unit 620, all of which are accessible by the processor 604 via the bus 610. The main memory 606, the static memory 618, and the storage unit 620 store instructions 602 that implement any one or more of the methodologies or functions described herein. The instructions 602 may also reside, completely or partially, within the main memory 616, within the static memory 618, within the machine-readable medium 622 within the storage unit 620, within at least one of the processors 604 (e.g., within a cache memory of a processor), or any suitable combination thereof during execution by the machine 600.

[0112] The I / O components 608 may include various components for receiving input, providing output, generating output, sending information, exchanging information, capturing measurements, etc. The specific I / O components 608 included in a particular machine will depend on the type of machine. For example, a portable machine such as a mobile phone may include a touch input device or other such input mechanism, while a headless server machine will be less likely to include such a touch input device. It should be appreciated that the I / O components 608 may include Figure 6 Many other components are not shown in the drawings. In various examples, the I / O components 608 may include user output components 624 and user input components 626. The user output components 624 may include visual components (e.g., displays such as plasma display panels (PDPs), light emitting diode (LED) displays, liquid crystal displays (LCDs), projectors, or cathode ray tubes (CRTs)), acoustic components (e.g., speakers), tactile components (e.g., vibration motors, resistance mechanisms), other signal generators, etc. The user input components 626 may include alphanumeric input components (e.g., keyboards, touch screens configured to receive alphanumeric input, optical keyboards, or other alphanumeric input components), point-based input components (e.g., mice, touch pads, trackballs, joysticks, motion sensors, or other pointing instruments), tactile input components (e.g., physical buttons, touch screens or other tactile input components that provide location and force of touches or touch gestures), audio input components (e.g., microphones), etc.

[0113] In other examples, the I / O component 608 may include a biometric component 628, a motion component 630, an environmental component 632, or a positioning component 634, as well as a wide range of other components. For example, the biometric component 628 includes components for detecting expressions (e.g., hand expressions, facial expressions, voice expressions, body postures, or eye tracking), measuring biosignals (e.g., blood pressure, heart rate, body temperature, sweat, or brain waves), identifying people (e.g., voice recognition, retinal recognition, facial recognition, fingerprint recognition, or electroencephalogram-based recognition), etc. The motion component 630 includes an acceleration sensor component (e.g., an accelerometer), a gravity sensor component, and a rotation sensor component (e.g., a gyroscope).

[0114] The environmental components 632 include, for example, one or more cameras (with still image / photo and video capabilities), an illumination sensor component (e.g., a photometer), a temperature sensor component (e.g., one or more thermometers that detect ambient temperature), a humidity sensor component, a pressure sensor component (e.g., a barometer), an acoustic sensor component (e.g., one or more microphones that detect background noise), a proximity sensor component (e.g., an infrared sensor that detects nearby objects), a gas sensor (e.g., a gas detection sensor for detecting concentrations of hazardous gases for safety purposes or for measuring pollutants in the atmosphere), or other components that can provide indications, measurements, or signals corresponding to the surrounding physical environment.

[0115] With respect to cameras, the user system 102 can have a camera system that includes, for example, a front-facing camera on the front surface of the user system 102 and a rear-facing camera on the rear surface of the user system 102. The front-facing camera can, for example, be used to capture still images and videos of the user of the user system 102 (e.g., "selfies"), which can then be enhanced with the enhancement data (e.g., filters) described above. The rear-facing camera can, for example, be used to capture still images and videos in a more conventional camera mode, which are similarly enhanced with the enhancement data. In addition to the front-facing camera and the rear-facing camera, the user system 102 can also include a 360° camera for capturing 360° photos and videos.

[0116] Furthermore, the camera system of the user system 102 may include dual rear cameras (e.g., a main camera and a depth-sensing camera), or even triple, quad, or quintuple rear camera configurations on the front and back sides of the user system 102. For example, these multi-camera systems may include a wide-angle camera, an ultra-wide-angle camera, a telephoto camera, a macro camera, and a depth sensor.

[0117] The positioning component 634 includes a position sensor component (for example, a GPS receiver component), an altitude sensor component (for example, an altimeter or barometer that detects air pressure, and the altitude can be obtained according to the air pressure), an orientation sensor component (for example, a magnetometer), etc.

[0118] Various technologies can be used to achieve communication. The I / O components 608 also include a communication component 636 that is operable to couple the machine 600 to a network 638 or device 640 via corresponding couplings or connections. For example, the communication component 636 may include a network interface component or other suitable device that interfaces with the network 638. In other examples, the communication component 636 may include a wired communication component, a wireless communication component, a cellular communication component, a near field communication (NFC) component, Components (e.g. Low energy consumption), Device 640 may be another machine or any of a variety of peripheral devices (eg, a peripheral device coupled via USB).

[0119] In addition, the communication component 636 can detect an identifier, or include a component operable to detect an identifier. For example, the communication component 636 can include a radio frequency identification (RFID) tag reader component, an NFC smart tag detection component, an optical reader component (e.g., an optical sensor for detecting one-dimensional bar codes such as Universal Product Code (UPC) bar codes, multi-dimensional bar codes such as Quick Response (QR) codes, Aztec codes, Data Matrix, Dataglyph, MaxiCode, PDF417, UltraCode, UCC RSS-2D bar codes, and other optical codes), or an acoustic detection component (e.g., a microphone for identifying an audio signal of a tag). In addition, various information can be obtained via the communication component 636, such as location via Internet Protocol (IP), geolocation via Internet Protocol (IP), location information ... Position derived from signal triangulation, position derived via detection of NFC beacon signals that can indicate a specific location, etc.

[0120] Various memories (e.g., main memory 616, static memory 618, and memory of processor 604) and storage unit 620 may store one or more sets of instructions and data structures (e.g., software) implemented or used by any one or more of the methods or functions described herein. These instructions (e.g., instructions 602) when executed by processor 604 cause various operations to implement the disclosed examples.

[0121] Instructions 602 may be sent or received over network 638 using a transmission medium via a network interface device (e.g., a network interface component included in communications component 636) and using any of several well-known transmission protocols (e.g., Hypertext Transfer Protocol (HTTP)). Similarly, instructions 602 may be sent or received via a coupling (e.g., a peer-to-peer coupling) with device 640 using a transmission medium.

[0122] Software Architecture

[0123] Figure 7 7 is a block diagram 700 illustrating a software architecture 702 that can be installed on any one or more of the devices described herein. The software architecture 702 is supported by hardware, such as a machine 704 including a processor 706, memory 708, and I / O components 710. In this example, the software architecture 702 can be conceptualized as a stack of layers, where each layer provides specific functionality. The software architecture 702 includes layers such as an operating system 712, libraries 714, frameworks 716, and applications 718. In operation, applications 718 invoke API calls 720 through the software stack and receive messages 722 in response to API calls 720.

[0124] The operating system 712 manages hardware resources and provides common services. The operating system 712 includes, for example, a kernel 724, services 726, and drivers 728. The kernel 724 serves as an abstraction layer between the hardware and other software layers. For example, the kernel 724 provides functions such as memory management, processor management (e.g., scheduling), component management, networking, and security settings. Services 726 can provide other common services to other software layers. Drivers 728 are responsible for controlling or interfacing with the underlying hardware. For example, drivers 728 may include display drivers, camera drivers, or Low-power drivers, Flash drivers, serial communication drivers (e.g., USB drivers), drivers, audio drivers, power management drivers, etc.

[0125] The libraries 714 provide a common low-level infrastructure used by the applications 718. The libraries 714 may include system libraries 730 (e.g., C standard libraries) that provide functions such as memory allocation functions, string manipulation functions, mathematical functions, etc. In addition, the libraries 714 may include API libraries 732, such as media libraries (e.g., libraries for supporting the presentation and manipulation of various media formats, such as Moving Picture Experts Group-4 (MPEG4), Advanced Video Coding (H.264 or AVC), Moving Picture Experts Group Layer-3 (MP3), Advanced Audio Coding (AAC), Adaptive Multi-Rate (AMR) audio codec, Joint Photographic Experts Group (JPEG or JPG), or Portable Network Graphics (PNG)), graphics libraries (e.g., the OpenGL framework for rendering graphical content on a display in two dimensions (2D) and three dimensions (3D), database libraries (e.g., SQLite providing various relational database functions), web libraries (e.g., WebKit providing web browsing functions), etc. The libraries 714 may also include a variety of other libraries 734 to provide many other APIs to the applications 718.

[0126] The framework 716 provides a common high-level infrastructure used by applications 718. For example, the framework 716 provides various graphical user interface (GUI) functions, high-level resource management, and high-level location services. The framework 716 can provide a wide range of other APIs that can be used by applications 718, some of which may be specific to a particular operating system or platform.

[0127] In an example, applications 718 may include a home application 736, a contacts application 738, a browser application 740, a book reader application 742, a location application 744, a media application 746, a messaging application 748, a game application 750, and a variety of other applications such as third-party applications 752. Applications 718 are programs that perform functions defined in the program. Various programming languages may be used to create one or more of the applications 718 structured in various ways, such as an object-oriented programming language (e.g., Objective-C, Java, or C++) or a procedural programming language (e.g., C or assembly language). In a specific example, third-party applications 752 (e.g., those written by entities other than the vendor of a particular platform using ANDROID) may be used to create a third-party application 752. TM or IOS TM Software Development Kit (SDK) can be used to develop applications on platforms such as IOS TM ANDROID TM 、 Mobile software running on the mobile operating system of the phone or other mobile operating system. In this example, third-party applications 752 can activate API calls 720 provided by the operating system 712 to facilitate the functions described in this article.

[0128] Methods for performing targeted image adjustments

[0129] Although the described flowcharts may illustrate the operations as sequential processes, many of the operations may be performed in parallel or simultaneously. In addition, the order of the operations may be rearranged. A process is terminated when its operations are completed. A process may correspond to a method, procedure, algorithm, etc. The operations of a method may be performed in whole or in part, may be performed in conjunction with some or all of the operations in other methods, and may be performed by any number of different systems (e.g., the systems described herein) or any portion thereof (e.g., a processor included in any of these systems).

[0130] Figure 8 A process 800 for performing targeted image adjustments is shown according to one example. In one example, the operations in process 800 may be performed by a processor in targeted image adjustment system 234, a processor in user system 102, a processor in interactive server system 110, or any combination thereof.

[0131] In operation 802, the processor receives a media content item. The media content item can be a video or image captured using a camera. For example, a user of user system 102 captures a video or image using camera system 204, and the processor receives the captured video or image as a media content item and performs post-processing on the media content item. In another example, the media content item can be a pre-captured video or image displayed in a viewfinder of user system 102. In this example, the processor receives the pre-captured video or image as a media content item and performs pre-processing on the media content item.

[0132] In operation 804, the processor identifies an image adjustment parameter and an adjustment value based on the media content item. For example, the processor may analyze the media content item to determine a targeted image adjustment that needs to be performed on the media content item. The image adjustment parameters may include, for example, brightness, hue, temperature, contrast, gamma, sharpness, etc. For example, based on the analysis of the received media content item, the processor may identify that the image adjustment parameter to be changed is the temperature level, and the desired adjustment value is a 10% increase in the temperature level.

[0133] In one example, the processor can use a neural network, a machine learning system or an algorithm to identify the image adjustment parameters and adjustment values of the media content item received. Test image adjustment parameters, test adjustment values and the test media content item can be used to train the neural network or machine learning system to identify the image adjustment parameters and adjustment values based on the media content item received. Test image adjustment parameters, test adjustment values and the test media content item can be training sets that depict the required targeted adjustment (e.g., test image adjustment parameters, test adjustment values) to be performed on the test media content item. Similarly, test image adjustment parameters, test adjustment values and the test media content item can be used to generate an algorithm to identify the image adjustment parameters and adjustment values based on the media content item received. In one instance, when receiving the media content item, using an algorithm, a neural network or a machine learning system, the processor can identify a test media content item similar to the media content item, and based on the test image adjustment parameters and the test adjustment values associated with the test media content item, the change to be performed on the media content item is associated with the required targeted adjustment.

[0134] In one example, the neural network can be a long short-term memory (LSTM) neural network, a convolutional neural network (CNN), a recurrent neural network (RNN), a gated recurrent unit (GRU) neural network, or any combination thereof. The neural network can, for example, receive a media content item as input and generate an image adjustment parameter and an adjustment value associated with the media content item as output.

[0135] Additionally, a neural network or machine learning system may be trained using metadata associated with media content items, such as images or videos publicly shared on the interactive server system 110. The metadata may indicate pre-capture settings of a camera that captured the media content item, the type of camera used to capture the media content item, post-processing settings applied to the media content item, setting selections associated with the camera (e.g., skin tone, skin undertone, etc.), background color, lighting conditions, etc. Additionally, the metadata may be used to generate algorithms.

[0136] In operation 806, the processor uses the image adjustment parameters and the adjustment values to generate an adjusted media content item. Thus, the targeted image adjustment system can automatically improve the media content item (e.g., to improve the quality of the media content item) by changing the adjustment parameters that the user is most likely to desire. For example, if the media content item is a photograph that includes a face that is not visible due to the lighting in the photograph, the targeted image adjustment system can automatically determine to remove shadows by reducing the contrast of the image to generate an adjusted media content item, and thereby improve the quality of the photograph.

[0137] In operation 808 , the processor causes an adjustment interface to be displayed through a display of the user device. Figure 9 and Figure 10 1 shows an adjustment interface 900 and an adjustment interface 1000 according to some embodiments. Figure 9 As shown in FIG, the adjustment interface 900 includes an adjusted media content item 904 and an option 902. The option 902 is associated with the identified image adjustment parameter. The option 902 may include multiple settings. For example, the option 902 may be Figure 9 , a slider for the user to select a desired setting. Based on the position of the slider set by the user, the corresponding adjustment value of the image adjustment parameter is applied to the adjusted media content item to generate the final media content item. Although selectable items 902 are shown as sliders, selectable items 902 can be multiple virtual buttons, links, dials or icons including multiple settings.

[0138] In response to receiving a selection of one of the settings of the selectable items, in operation 810, the processor generates a final media content item based on the selection of one of the settings, and in operation 812, the processor causes the final media content item to be displayed via a display of the user device. Figure 9 and Figure 10 , option 902 is associated with an image adjustment parameter that is brightness.

[0139] like Figure 10 As shown in FIG, the adjustment interface 1000 includes a final media content item 1002 and an optional item 902. After receiving the user's selection of the desired setting of the optional item 902 (e.g., Figure 10 After moving the slider to a middle setting), a final media content item 1002 is generated and displayed in adjustment interface 1000 with an increased brightness level (eg, increasing the adjustment value in brightness by a further 50%).

[0140] Thus, option 902 enables the user to fine-tune the adjusted media content item 904 with respect to the image adjustment parameters (e.g., brightness) identified by the processor. The user's fine-tuning can also be fed back to the neural network, machine learning system, or algorithm to recalibrate the targeted image adjustment system 234. For example, the processor can further train the neural network or machine learning system using the user's fine-tuning, or the processor can further adjust the algorithm it executes to identify image adjustment parameters and adjustment values. The user's fine-tuning can be the user's selected setting for the image adjustment parameter or the adjustment value associated with the selected setting. Thus, the user's fine-tuning history (e.g., the user's adjustment history) can be further used to assist the processor in predicting possible adjustments that will need to be made automatically in the future to generate the adjusted media content item 904.

[0141] In one example, the processor may also identify multiple image adjustment parameters and multiple adjustment values to be applied based on the media content item. For example, the processor may determine that the media content item has a white balance problem and a hue problem. The processor may determine that adjusting the white balance problem takes precedence over adjusting the hue problem, so that the processor identifies the temperature change (for solving the white balance problem) as the image adjustment parameter to be adjusted. In this example, the processor causes the display to allow the user to further fine-tune the temperature of the adjusted media content item. Alternatively, the processor may generate an optional item that can adjust a combination of the temperature and hue of the adjusted media content item.

[0142] although Figure 9 and Figure 10 A single selectable item 902 associated with a single image adjustment parameter is shown, but in other examples, the processor may also identify multiple image adjustment parameters and multiple adjustment values to be applied based on the media content item. In this example, the processor generates an adjusted media content item based on the multiple image adjustment parameters and the multiple adjustment values. For example, the processor may identify brightness and tint as image adjustment parameters, and identify a 10% increase in brightness and a 20% increase in tint as adjustment values. In this example, the processor may cause an adjustment interface to be displayed, which includes the adjusted media content item and multiple selectable items 902: a first selectable item for fine-tuning the brightness of the adjusted multimedia content item, and a second selectable item for fine-tuning the tint of the adjusted media content item. Based on the user's selection of a setting for each of the selectable items 902, the processor generates a final media content item. In this example, the user's fine-tuning of each of the image adjustment parameters may be further fed back to the neural network, machine learning system, or algorithm to recalibrate the targeted image adjustment system 234.

[0143] in conclusion

[0144] The targeted image adjustment system 234 improves the functionality of camera systems and electronic messaging software and systems by generating targeted adjustments for media content items including images (e.g., photos and videos) captured using a camera that account for different skin tones in each situation or lighting condition.

[0145] By using a targeted image adjustment system that can predict image adjustment parameters to be applied to a media content item to automatically generate an adjusted media content item, the targeted image adjustment system can generate an adjusted media content item that already includes, for example, possible updates to the brightness, hue, temperature, contrast, gamma, or sharpness of the image. Thus, the targeted image adjustment system enables the user to take photos that better suit his / her taste or skin tone without sacrificing the speed and functionality of the camera system and the interactive server system 110.

[0146] The targeted image adjustment system further causes an adjustment interface to be displayed on the user device, the adjustment interface including the adjusted media content item and a selectable option associated with an image adjustment parameter (e.g., hue), the selectable option enabling a user of the user device to further change the adjustment value of the image adjustment parameter to fine-tune the adjusted multimedia content item. The targeted image adjustment system may also receive selections associated with user-performed fine-tuning to further improve its algorithm, neural network, or machine learning system so that it can continuously improve its targeted image adjustment.

[0147] These improvements ensure that the camera, and therefore the interactive system, can produce high-quality images fairly for each user, and therefore improve the camera experience for all users.

[0148] Glossary

[0149] "Carrier signal" refers to any intangible medium that can store, encode, or carry instructions for execution by a machine and includes, for example, digital or analog communication signals, or other intangible medium that facilitates the transmission of such instructions. Instructions can be sent or received over a network using a transmission medium via a network interface device.

[0150] A "client device" or "user device" or "user system" refers to any machine that interfaces with a communications network to obtain resources from one or more server systems or other client devices, for example. A client device may be, but is not limited to, a mobile phone, a desktop computer, a laptop computer, a portable digital assistant (PDA), a smartphone, a tablet computer, an ultrabook, a netbook, a laptop computer, a multiprocessor system, a microprocessor-based or programmable consumer electronics product, a game console, a set-top box, or any other communications device that a user may use to access a network.

[0151] "Communications network" refers to, for example, one or more parts of a network, which may be an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), the Internet, a part of the Internet, a part of the Public Switched Telephone Network (PSTN), a Plain Old Telephone Service (POTS) network, a cellular telephone network, a wireless network, The coupling may be a network, other type of network, or a combination of two or more such networks. For example, the network or a portion of the network may include a wireless network or a cellular network, and the coupling may be a code division multiple access (CDMA) connection, a global system for mobile communications (GSM) connection, or other type of cellular or wireless coupling. In this example, the coupling may implement any of various types of data transmission technologies, such as single carrier radio transmission technology (1xRTT), evolution data optimized (EVDO) technology, general packet radio service (GPRS) technology, enhanced data rates for GSM evolution (EDGE) technology, the third generation partnership project (3GPP) including 3G, fourth generation wireless (4G) networks, universal mobile telecommunications system (UMTS), high speed packet access (HSPA), world wide interoperability for microwave access (WiMAX), long term evolution (LTE) standards, other data transmission technologies defined by various standards setting organizations, other long distance protocols, or other data transmission technologies.

[0152] "Component" refers to a logic or device, a physical entity, for example, having the following boundaries, which are defined by function or subroutine calls, branch points, APIs, or other technical definitions that provide partitioning or modularization of specific processing or control functions. A component can be combined with other components via its interface to perform machine processing. A component can be a packaged functional hardware unit designed for use with other components, and a part of a program that generally performs a specific function of a related function. A component can constitute a software component (for example, a code embodied on a machine-readable medium) or a hardware component. A "hardware component" is a tangible unit that can perform certain operations and can be configured or arranged in a certain physical manner. In various examples, one or more computer systems (for example, a stand-alone computer system, a client computer system, or a server computer system) or one or more hardware components (for example, a processor or a processor group) of a computer system can be configured by software (for example, an application or an application part) to be a hardware component that operates to perform certain operations as described herein. Hardware components can also be implemented mechanically, electronically, or in any suitable combination thereof. For example, a hardware component can include a dedicated circuit or logic that is permanently configured to perform certain operations. The hardware component can be a special-purpose processor, such as a field programmable gate array (FPGA) or an application-specific integrated circuit (ASIC). The hardware component can also include a programmable logic or circuit that is temporarily configured to perform certain operations by software. For example, the hardware component can include software executed by a general-purpose processor or other programmable processor. Once configured by such software, the hardware component becomes a specific machine (or a specific component of a machine), which is uniquely customized to perform the configured function and is no longer a general-purpose processor. It will be appreciated that it can be decided whether to mechanically implement the hardware component in a dedicated and permanently configured circuit or in a temporarily configured (e.g., configured by software) circuit for cost and time considerations. Therefore, the phrase "hardware component" (or "hardware-implemented component") should be understood to include tangible entities, i.e., entities that are physically constructed, permanently configured (e.g., hardwired) or temporarily configured (e.g., programmed) to operate in some way or perform certain operations described herein. Considering an example in which a hardware component is temporarily configured (e.g., programmed), it is not necessary to configure or instantiate each hardware component in the hardware component at any one time. For example, in the case where a hardware component includes a general-purpose processor that is configured by software to become a special-purpose processor, the general-purpose processor can be configured as a different special-purpose processor (e.g., including different hardware components) at different times. The software configures a specific one or more processors accordingly, such as to constitute a specific hardware component at one time and to constitute a different hardware component at a different time. A hardware component can provide information to other hardware components and receive information from other hardware components. Therefore, the described hardware components can be considered to be communicatively coupled.When there are multiple hardware components at the same time, communication can be achieved by signal transmission between or among two or more hardware components (for example, by appropriate circuits and buses). In the example where multiple hardware components are configured or instantiated at different times, communication between such hardware components can be achieved, for example, by storing information in a memory structure accessible to multiple hardware components and retrieving information in the memory structure. For example, a hardware component can perform an operation, and the output of the operation is stored in a memory device coupled to its communication ground. Then, other hardware components can access the memory device at a subsequent time to retrieve the stored output and process it. The hardware component can also initiate communication with an input device or an output device, and can operate on resources (for example, a collection of information). The various operations of the example methods described herein can be performed at least in part by temporarily configuring (for example, by software) or permanently configuring one or more processors to perform related operations. Whether it is temporarily configured or permanently configured, such a processor can constitute a processor-implemented component that operates to perform one or more operations or functions described herein. As used herein, a "processor-implemented component" refers to a hardware component implemented using one or more processors. Similarly, the method described in this article can be implemented at least in part by a processor, wherein one or more specific processors are examples of hardware. For example, at least some of the various operations of the method can be performed by one or more processors or the parts implemented by the processor. In addition, one or more processors can also operate to support the execution of related operations in a "cloud computing" environment or operate as "software as a service" (SaaS). For example, at least some operations in the operation can be performed by a computer group (as an example of a machine including a processor), wherein these operations can be accessed via a network (for example, the Internet) and via one or more appropriate interfaces (for example, API). The execution of some operations can be distributed between processors, not only resident in a single machine, but deployed across multiple machines. In some examples, a processor or the parts implemented by a processor can be located in a single geographical location (for example, in a home environment, an office environment or a server farm). In other examples, a processor or the parts implemented by a processor can be distributed across multiple geographical locations.

[0153] "Computer-readable storage media" refers to, for example, both machine storage media and transmission media. Thus, these terms encompass both storage devices / media and carrier / modulated data signals. The terms "machine-readable medium," "computer-readable medium," and "device-readable medium" mean the same thing and may be used interchangeably in this disclosure.

[0154] A "transient message" is a message that is accessible for a limited duration, for example. Transient messages can be text, images, videos, and the like. The access period for a transient message can be set by the sender of the message. Alternatively, the access period can be a default setting or a setting specified by the recipient. Regardless of the setting technique, the message is transient.

[0155] “Machine storage media” refers to, for example, a single or multiple storage devices and media (e.g., centralized or distributed databases, and associated caches and servers) that store executable instructions, routines, and data. Thus, the term should be taken to include, but is not limited to, solid-state memory and optical and magnetic media, including memory internal or external to the processor. Specific examples of machine storage media, computer storage media, and device storage media include: non-volatile memory, including, for example, semiconductor memory devices such as erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), FPGAs, and flash memory devices; magnetic disks, such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks. The terms “machine storage media,” “device storage media,” and “computer storage media” mean the same thing and are used interchangeably in this disclosure. The terms “machine storage media,” “computer storage media,” and “device storage media” expressly exclude carrier waves, modulated data signals, and other such media, at least some of which are encompassed by the term “signal media.”

[0156] “Non-transitory computer-readable storage medium” refers to a tangible medium that is capable of storing, encoding, or carrying instructions for execution by a machine, for example.

[0157] "Signal medium" refers to any intangible medium that is capable of storing, encoding, or carrying instructions for execution by a machine, and includes digital or analog communication signals or other intangible media that facilitate the communication of software or data. The term "signal medium" should be taken to include any form of modulated data signal, carrier wave, etc. The term "modulated data signal" means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. The terms "transmission medium" and "signal medium" mean the same thing and may be used interchangeably in this disclosure.

[0158] A "user device" refers to a device that a user accesses, controls, or owns and interacts with to perform actions or interact with other users or computer systems, for example.

Claims

1. A system comprising: processor; as well as a memory having stored thereon instructions that, when executed by the processor, cause the system to: receiving a media content item; identifying an image adjustment parameter based on the media content item and identifying an adjustment value based on the media content item; generating an adjusted media content item using the image adjustment parameter and the adjustment value; causing an adjustment interface to be displayed on a display of a user device, wherein the adjustment interface includes the adjusted media content item and selectable items associated with the image adjustment parameter, wherein the selectable items include a plurality of settings; and In response to receiving a selection of one of the settings of the selectable items, generating a final media content item based on the selection of one of the settings, and The final media content item is caused to be displayed via a display of the user equipment.

2. The system according to claim 1, wherein: The media content item is a video or an image captured using a camera.

3. The system according to claim 1, wherein: The media content item is a pre-captured video or image displayed in a viewfinder.

4. The system according to claim 1, wherein: The system utilizes a neural network or a machine learning system to identify the image adjustment parameter and the adjustment value based on the media content item.

5. The system according to claim 4, wherein: The neural network or machine learning system is trained using a plurality of test image adjustment parameters, a plurality of test adjustment values, and a plurality of test media content items.

6. The system according to claim 5, wherein: The neural network or machine learning system is further trained using the selection of one of the settings.

7. The system according to claim 1, wherein: The selectable items are a slider or a plurality of selectable buttons or icons.

8. The system according to claim 1, wherein: The instructions also cause the system to: identifying a plurality of image adjustment parameters and a plurality of adjustment values based on the media content item; and The adjusted media content item is generated using the plurality of image adjustment parameters and the plurality of adjustment values.

9. The system of claim 8, wherein the instructions further cause the system to: generating the final media content item based on selection of a plurality of settings of a plurality of selectable items, in, The adjustment interface further includes a plurality of optional items associated with the plurality of image adjustment parameters.

10. A method comprising: receiving, by a processor, a media content item; identifying an image adjustment parameter and an adjustment value based on the media content item; generating an adjusted media content item using the image adjustment parameter and the adjustment value; causing an adjustment interface to be displayed on a display of a user device, wherein the adjustment interface includes the adjusted media content item and selectable items associated with the image adjustment parameter, wherein the selectable items include a plurality of settings; and In response to receiving a selection of one of the settings of the selectable items, generating a final media content item based on the selection of one of the settings, and The final media content item is caused to be displayed via a display of the user equipment.

11. The method according to claim 10, wherein: The media content item is a video or an image captured using a camera.

12. The method according to claim 10, wherein: The media content item is a pre-captured video or image displayed in a viewfinder.

13. The method according to claim 10, wherein: The processor utilizes a neural network or a machine learning system to identify the image adjustment parameter and the adjustment value based on the media content item.

14. The method according to claim 13, wherein The neural network or machine learning system is trained using a plurality of test image adjustment parameters, a plurality of test adjustment values, and a plurality of test media content items.

15. The method according to claim 14, wherein The neural network or machine learning system is further trained using the selection of one of the settings.

16. The method according to claim 10, wherein The selectable items are a slider or a plurality of selectable buttons or icons.

17. The method according to claim 10, further comprising: identifying a plurality of image adjustment parameters and a plurality of adjustment values based on the media content item; as well as The adjusted media content item is generated using the plurality of image adjustment parameters and the plurality of adjustment values.

18. The method according to claim 17, further comprising: generating the final media content item based on selection of a plurality of settings of a plurality of selectable items, The adjustment interface further includes a plurality of optional items associated with the plurality of image adjustment parameters.

19. A non-transitory computer-readable storage medium comprising instructions that, when executed by a computer, cause the computer to: receiving a media content item; identifying an image adjustment parameter based on the media content item and identifying an adjustment value based on the media content item; generating an adjusted media content item using the image adjustment parameter and the adjustment value; causing an adjustment interface to be displayed on a display of a user device, wherein the adjustment interface includes the adjusted media content item and selectable items associated with the image adjustment parameter, wherein the selectable items include a plurality of settings; and In response to receiving a selection of one of the settings of the selectable items, generating a final media content item based on the selection of one of the settings, and The final media content item is caused to be displayed via a display of the user equipment.

20. The non-transitory computer-readable storage medium of claim 19, in, The computer utilizes a neural network or a machine learning system to identify the image adjustment parameter and the adjustment value based on the media content item, Wherein, the neural network or machine learning system is trained using a plurality of test image adjustment parameters, a plurality of test adjustment values, and a plurality of test media content items.

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