System and method for augmented reality broadcast integration

Abstract

A method and system for augmenting live video feeds with augmented reality (AR) effects. A live video feed comprising a plurality of video frames is received, and a format of the video frames is determined. The video frame is converted into a format compatible with an AR software development kit (SDK). One or more AR effects from the AR SDK are applied to the converted frame. This may include detecting a depiction of an object in a frame, and applying an effect to the detected object. An effect may be selected based on the detected object type. The frame is then reconverted back to the original format. If the frame rate between the video feed and the AR SDK differs, the frame rate conversion is performed before and after applying the AR effect. The enhanced video frame including the AR effect is provided as output, such as for broadcast or display.

Description

[0001] Priority requirements

[0002] This patent application claims priority to U.S. Patent Application No. 18 / 439,491, filed February 12, 2024, which claims the benefit of U.S. Provisional Patent Application No. 63 / 580,841, filed September 6, 2023, entitled “SYSTEM AND METHOD FORAUGMENTED REALITY BROADCAST INTEGRATION,” both of which are incorporated herein by reference in their entirety. Background Technology

[0003] With the widespread adoption of smartphones and mobile devices, augmented reality (AR) technology has become more prevalent. Many software applications now deliver AR experiences by applying graphical overlays and effects to the user's real-time environment, such as that captured by the device's camera.

[0004] While AR applications have become commonplace on mobile platforms, integrating them into live broadcast video feeds presents additional challenges. AR effects are typically designed to operate at lower resolutions and frame rates suitable for mobile devices. However, broadcast standards require much higher resolutions, such as 1080p or 4K, and high frame rates of around 60 fps.

[0005] Applying AR effects to live video streams requires specialized video processing capabilities. The video feed must be converted to a format usable by the AR software development kit (SDK). After applying the AR effects, the video needs to be converted back to broadcast standards. High performance and low latency are crucial for live video.

[0006] Existing AR solutions are not designed for broadcast workflows. User interfaces tend to be tailored to mobile use cases rather than professional operators. This makes it difficult to smoothly integrate AR effects into live events and productions.

[0007] Therefore, a system is needed that can apply AR effects on a large scale to live broadcasting. This system must handle video format conversion and optimization for ARSDK. It also needs a customized interface for broadcast operators to preview and control AR effects in real time during live events. Attached Figure Description

[0008] In the accompanying drawings, which are not necessarily drawn to scale, similar reference numerals may describe similar parts in different views. For ease of identification in discussion of any particular element or action, one or more of the most significant digits in the reference numerals refer to the drawing number in which that element was first introduced. Some embodiments are shown in the accompanying drawings by way of example rather than limitation, in which:

[0009] Figure 1 It is a diagrammatic representation of a networked environment in which the content of this disclosure can be deployed, based on some examples.

[0010] Figure 2 It is a graphical representation of a messaging system with both client-side and server-side functionalities, based on some examples.

[0011] Figure 3 This is a flowchart depicting a method, according to one implementation, for suggesting one or more user groups to be included in a response to a message.

[0012] Figure 4 An aspect of the subject matter according to one implementation is shown.

[0013] Figure 5 An aspect of the subject matter according to one implementation is shown.

[0014] Figure 6 An aspect of the subject matter according to one implementation is shown.

[0015] Figure 7 It is a graphical representation of a machine in the form of a computer system, based on some examples, within which a set of instructions can be executed to cause the machine to perform any or more of the methods discussed herein.

[0016] Figure 8 It is a block diagram showing the software architecture that can be implemented within it.

[0017] Figure 9 It is a graphical representation of the processing environment based on some examples. Detailed Implementation

[0018] In recent years, augmented reality (AR) technology has seen rapid adoption in mobile applications and devices as smartphones have become ubiquitous and capable of integrating real-time computer vision and graphics. However, its adoption in live broadcast video workflows has been relatively limited to date. Integrating compelling AR effects into live feeds presents numerous challenges, including real-time processing limitations, format incompatibility, and a lack of customization for broadcast operators. Most current methods rely on offline post-processing, which hinders the practical use of live events. Some existing network solutions fail to meet end-to-end latency requirements or lack tailoring to the specific needs of broadcasters. This disclosure addresses these issues by leveraging a system architecture specifically designed to enhance broadcasts with real-time generated interactive AR overlays.

[0019] According to certain example implementations, this disclosure describes a system having multiple interconnected modules for enhancing live broadcast video feeds with AR effects. This includes: a video conversion module responsible for format conversion between the live video feed domain and the AR SDK domain; an AR effects module that applies effects using computer vision techniques and AR software development kits; and a broadcast integration module that reconstitutes the video into broadcast standards and outputs the enhanced feed. The system can be implemented via software executing on general-purpose hardware, dedicated video processing hardware, or a combination thereof.

[0020] The disclosed technology provides a system for handling format conversion between live video feeds and AR SDK domains. Object detection also allows for the selective application of AR effects based on scene content. The system can be controlled via an intuitive user interface tailored to live broadcast scenarios. The technology can enhance live events, broadcasts, and productions using real-time, customized interactive AR overlays.

[0021] According to certain example implementations, this disclosure describes systems and methods for enhancing live broadcast video feeds with AR effects from a mobile SDK in a computationally efficient manner. The system receives a live broadcast video feed that meets broadcast standards. For example, the video feed can be received from a source such as a video camera device, production switcher, server, or other live video processing system. Example formats include 1080p or 4K resolution and a frame rate of 60 fps to match broadcast quality standards. The system determines parameters of the input video feed, such as resolution, frame rate, and color space, and converts the feed into a format compatible with the ARSDK. For example, the system can:

[0022] • Downgrade the resolution from 4K to 1080p

[0023] • Reduce the frame rate from 60 fps to 30 fps

[0024] • Convert the color space from YCbCr to sRGB

[0025] Therefore, the system applies one or more AR effects to the transformed frame. This can involve detecting objects such as faces and overlaying virtual graphics or effects onto them. For example, the system applies one or more AR effects to the transformed frame. The system can use techniques such as facial recognition to detect objects such as faces. It utilizes virtual overlays mapped to physical surfaces and the environment to enhance the detected objects.

[0026] For example, the system can:

[0027] • Overlay virtual glasses, masks, and hats onto the detected faces.

[0028] • Overlay animated 3D models onto the detected entity.

[0029] • Overlay graphic textures onto the detected building surfaces

[0030] An AR effect selection interface can be displayed on the client device to preview and select the effects to be applied to the live video feed. After the system applies the AR effect to the frame, it converts the frame back to the original broadcast video format.

[0031] In some implementations, the system determines key parameters of the live video feed, such as resolution, frame rate, and color space / pixel format, to appropriately configure the conversion process. For example, the system can automatically detect incoming 1080i 59.94 Hz Y'CbCr or 720p 60 Hz RGB feeds by analyzing header and signal characteristics. The system can also detect parameters based on manual user configuration of the intended video format. By automatically supporting interlaced and progressive scan signals in various common broadcast formats such as SD, HD, and UHD4K, the system can flexibly interface with various broadcast facilities.

[0032] The system adapts its conversion process based on the detected format to transform live video into a domain compatible with the AR SDK. For example, if the feed is 1080p 60 fps YCbCr, the AR effects module will be downgraded to 720p 30 fps RGB. In some implementations, the system interfaces with various broadcast video feed sources via a standardized Serial Digital Interface (SDI) connection, allowing interoperability with professional camera setups, switchers, and infrastructure. The system can also ingest other common interfaces such as HDMI, DVI, and IP-based NDI feeds. This flexibility allows the AR enhancement system to be integrated into various points in the broadcast production workflow. The system can ingest feeds from main camera setups, switcher program outputs, video servers, or other video routing hardware. The system automatically negotiates input parameters to simplify configuration.

[0033] This allows the system to interface with different types of live broadcast facilities and workflows without manual configuration. The video conversion module automatically handles the conversion between the input video and the AR SDK domain based on the characteristics of the input video.

[0034] In some implementations, the system can determine the video format based on input received from the client device. For example, the user can manually specify parameters such as resolution, frame rate, and color space through a settings interface. The module will use these provided settings to configure the appropriate conversion process. This allows the system to integrate with various video feeds without automatic format detection. The user only inputs the feed specifications, and the module handles the appropriate domain conversion.

[0035] In some implementations, the system can apply one or more AR effects to the depiction of objects detected within a live video feed. For example, the system can use facial recognition technology to detect the faces of people in a crowd at a live event. Object detection is performed on the transformed video frames using techniques such as Haar cascades, histogram of oriented gradients (HOG), and deep convolutional neural networks. In some implementations, the system can utilize the YOLO (One-Look-Only) model for real-time object detection. The module then uses virtual overlays such as glasses, masks, hats, etc., to enhance the detected faces. Other object detection techniques can identify bodies, building surfaces, logos, text, and other elements on the screen to overlay AR effects upon.

[0036] This allows for the selective application of AR effects to content fed in live video. Rather than a simple overlay, the enhancements can dynamically react to the captured scene and the camera's perspective.

[0037] In some implementations, the system can offer selection of AR effects based on objects detected within the video feed. For example, in response to the detection of a depiction of a face within the live video feed, the system can present AR effects to be applied to the face, and the user can select the mask effect via an AR selection interface. In some implementations, the system provides broadcast operators with an interactive AR effects control interface, enabling previewing, selection, and real-time manipulation of effects applied to the live feed. The interface displays thumbnails of available virtual objects, overlays, 3D models, and filters that can be mapped onto detected scene elements. Multiple effects can be layered, customized, and animated in real-time when previewing the output before broadcast. The appearance can be dynamically updated and saved for reuse in other broadcasts. This gives broadcasters intuitive control over AR enhancements, comparable to familiar video switchers and mixers.

[0038] Similarly, in some implementations, selecting an AR effect can enable the system to detect corresponding objects within a video feed. For example, selecting a virtual hat effect will trigger face detection, while selecting a pet effect will activate animal recognition. The desired AR effect guides the applied object recognition technology. For instance, selecting a pet effect triggers an animal classifier to detect pets in video frames, and virtual accessories can be mapped to these pets. The effect transforms and follows the contours of the detected objects.

[0039] Networked computing environment

[0040] Figure 1This is a block diagram illustrating an example system 100 for exchanging data (e.g., video data, messages, and associated content) over a network. System 100 includes multiple instances of client devices 106, each instance hosting multiple applications, including messaging clients 108 and video feeds 126. Each messaging client 108 is communicatively coupled to other instances of messaging clients 108 and server system 104 via network 102 (e.g., the Internet).

[0041] The messaging client 108 is able to communicate and exchange data with another messaging client 108 and with the server system 104 via the network 102. The data exchanged between messaging clients 108 and between messaging client 108 and server system 104 includes functions (e.g., commands for activating functions) and payload data (e.g., text, audio, video, or other multimedia data).

[0042] Server system 104 provides server-side functionality to specific messaging clients 108 via network 102. While some functions of system 100 are described herein as being performed by messaging clients 108 or by server system 104, the location of certain functions within messaging clients 108 or server system 104 may be a design choice. For example, it may be technically preferred that certain technologies and functions are initially deployed within server system 104, but later migrated to messaging clients 108 on client device 106 with sufficient processing power.

[0043] Server system 104 supports various services and operations provided to messaging client 108. Such operations include sending data to messaging client 108, receiving data from messaging client 108, and processing data generated by messaging client 108. As an example, this data may include message content, client device information, geolocation information, media enhancements and overlays, message content persistence conditions, social network information, and live event information. Data exchange within system 100 is activated and controlled via functions available through the user interface (UI) of messaging client 108.

[0044] Turning now to server system 104, application programming interface (API) server 112 is coupled to application server 110 and provides a programming interface to application server 110. Application server 110 is communicatively coupled to database server 116, which facilitates access to database 122, which stores data associated with messages processed by application server 110. Similarly, web server 124 is coupled to application server 110 and provides a web-based interface to application server 110. For this purpose, web server 124 handles incoming network requests via Hypertext Transfer Protocol (HTTP) and several other related protocols. In some implementations, database 122 may include a decentralized database.

[0045] Application Programming Interface (API) server 112 receives and sends message data (e.g., commands and message payloads) between client device 106 and application server 110. Specifically, API server 112 provides a set of interfaces (e.g., routines and protocols) that can be invoked or queried by messaging client 108 to activate the functionality of application server 110. Application Programming Interface (API) server 112 exposes various functions supported by application server 110, including: account registration; login functionality; sending messages from one messaging client 108 to another messaging client 108 via application server 110; sending media files (e.g., images or videos) from messaging client 108 to messaging server 114 for possible access by another messaging client 108; setting up media data collections (e.g., stories); retrieving the friend list of the user of client device 106; retrieving such collections; retrieving messages and content; adding and deleting entities (e.g., friends) in an entity graph (e.g., a social graph); locating friends within the social graph; and opening application events (e.g., related to messaging client 108).

[0046] Application server 110 hosts multiple server applications and subsystems, including, for example, messaging server 114, image processing server 118, and social networking server 120. Messaging server 114 implements various messaging technologies and functions, particularly those related to the aggregation and other processing of content (e.g., text and multimedia content) included in messages received from multiple instances of messaging client 108. As will be described in more detail, text and media content from multiple sources can be aggregated into collections of content (e.g., referred to as stories or galleries). These collections are then made available to messaging client 108. Given the hardware requirements for additional processor- and memory-intensive data processing, additional processor- and memory-intensive data processing can also be performed on the server side by messaging server 114.

[0047] Application server 110 also includes an image processing server 118 dedicated to performing various image processing operations, typically performing various image processing operations relative to the images or videos within the payload of messages sent from or received at message transceiver server 114.

[0048] Social networking server 120 supports various social networking functions and services, and makes these functions and services available to messaging server 114. Examples of functions and services supported by social networking server 120 include: identifying other users in system 100 who have a relationship with a particular user or who are "following" that particular user, as well as identifying the particular user's interests and other entities.

[0049] System Architecture

[0050] Figure 2 This is a block diagram illustrating further details of system 100 according to some examples. Specifically, system 100 is shown as including a messaging client 108 and an application server 110. System 100 includes multiple subsystems supported on the client side by the messaging client 108 and on the server side by the application server 110. These subsystems include, for example, an instantaneous timer system 202, a collection management system 204, an enhancement system 206, a map system 210, a game system 212, and a live video overlay module 214.

[0051] The instantaneous timer system 202 is responsible for implementing temporary or time-limited access to content by the message sending client 108 and the message sending server 114. The instantaneous timer system 202 includes multiple timers that selectively implement access to (e.g., for rendering and displaying) messages and associated content via the message sending client 108 based on the duration and display parameters associated with the message or message set (e.g., a story). Further details regarding the operation of the instantaneous timer system 202 are provided below.

[0052] The collection management system 204 is responsible for managing collections or sets of media (e.g., collections of text, image, video, and audio data). Collections of content (e.g., messages, including images, videos, text, and audio) can be organized into "event galleries" 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 204 can also be responsible for publishing icons that provide notifications of the existence of specific collections to the user interface of the messaging client 108.

[0053] The collection management system 204 also includes a curation interface 208, which allows collection managers to manage and curate specific content collections. For example, the curation interface 208 enables event organizers to curate collections of content related to a specific event (e.g., removing inappropriate content or redundant messages). Additionally, the collection management system 204 employs machine vision (or image recognition technology) and content rules to automatically curate content collections. In some examples, users may be paid compensation for including user-generated content in the collection. In such cases, the collection management system 204 operates to automatically pay such users for using their content.

[0054] Enhancement system 206 provides various functionalities that enable users to enhance (e.g., annotate or otherwise modify or edit) media content associated with a message. For example, enhancement system 206 provides functionalities related to generating and publishing media overlays for messages processed by system 100. Enhancement system 206 operatively supplies media overlays or enhancements (e.g., image filters) to messaging client 108 based on the geolocation of client device 106. In another example, enhancement system 206 operatively supplies media overlays to messaging client 108 based on other information such as the social network information of the user of client device 106. Media overlays may include audio and visual content as well as visual effects. Examples of audio and visual content include images, 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) at client device 106. For example, media overlays may include text or images that can be overlaid on top of a photo taken by client device 106. In another example, media overlays include location identifier overlays (e.g., Venice Beach), live event name overlays, or business name overlays (e.g., Beach Cafe). In yet another example, enhancement system 206 uses the geolocation of client device 106 to identify media overlays that include the business name at the geolocation of client device 106. Media overlays may include additional tags associated with the business. Media overlays may be stored in database 122 and accessed through database server 116.

[0055] In some examples, enhancement system 206 provides a user-based publishing platform that allows users to select a geolocation on a map and upload content associated with that geolocation. Users can also specify under what circumstances a particular media overlay should be provided to other users. Enhancement system 206 generates a media overlay that includes the uploaded content and associates it with the selected geolocation.

[0056] In other examples, enhancement system 206 provides a merchant-based publishing platform that enables merchants to select specific media overlays associated with geolocation through a bidding process. For example, enhancement system 206 associates the media overlay of the highest bidder with a corresponding geolocation for a predefined amount of time.

[0057] Map system 210 provides various geolocation functions and supports the presentation of map-based media content and messages by messaging client 108. For example, map system 210 enables the display of user icons or avatars on a map to indicate the current or past location of a user's "friends" and media content (e.g., a collection of messages including photos and videos) generated by such friends within the context of the map. For example, on the map interface of messaging client 108, messages posted by a user from a specific geolocation to system 100 can be displayed to a specific user's "friends" within the context of that specific location on the map. Users can also share their location and status information with other users of system 100 (e.g., using appropriate status avatars) via messaging client 108, where the location and status information is similarly displayed to selected users within the context of the map interface of messaging client 108.

[0058] Game system 212 provides various game functions within the context of messaging client 108. Messaging client 108 provides a game interface with a list of available games that can be initiated by a user within the context of messaging client 108 and played with other users of system 100. System 100 also enables specific users to invite other users to participate in specific games by sending invitations from messaging client 108 to such other users. Messaging client 108 also supports both voice and text messaging (e.g., chat) within the context of playing games, provides game leaderboards, and also supports providing in-game rewards (e.g., coins and items).

[0059] The live video overlay module 214 provides format conversion between the live video feed received from the video feed 126 and the AR SDK domain. Object detection also allows for the selective application of AR effects based on scene content. The system can be controlled through an intuitive user interface tailored to the live broadcast scenario. The live video overlay module 214 enables robust and efficient use of AR effects to enhance broadcast video feeds live.

[0060] Figure 3 This is a flowchart illustrating the operation of a live video overlay module 214 according to one embodiment when performing a method 300 for enhancing live video feeds using AR effects. The operation of method 300 can be described above regarding... Figure 2 The described system 100 may be executed by one or more subsystems, such as the live video overlay module 214. Figure 3 As shown, method 300 includes one or more operations 302, 304, 306, 308, 310 and 312.

[0061] At operation 302, the system receives a live broadcast video feed comprising multiple video frames from video feed 126. The live video feed comprises multiple video frames. The video feed can come from various sources, such as live sports broadcasts, video game streams, or live events.

[0062] At operation 304, the system determines the first video format of multiple video frames in the live video feed. For example, the system can analyze the incoming video feed to determine the format of the video frames. The format can be determined by examining the encoded video data and metadata, or based on input received from client device 106.

[0063] At operation 306, the system converts each frame into a second video format compatible with the AR SDK used for the applied effects. For example, the AR SDK might require a specific format, such as the raw, uncompressed format. Known techniques, such as OpenCV pixel format conversion functions, are needed to convert the frames to this format. This allows the AR SDK to analyze and modify the frame pixels.

[0064] At operation 308, the system applies one or more AR effects to the transformed frame. For example, in some implementations, the system can detect objects, map the environment, overlay virtual objects, etc., to render AR effects. As an illustrative example, the system can detect a person's face and overlay virtual sunglasses and a hat. Or it can add a virtual fish tank to a room.

[0065] At operation 310, the system reconverts the frame back to the first video format of video feed 126. This allows the modified, effective frames to be correctly integrated back into the original real-time video feed.

[0066] At operation 312, the system provides modified frames, including AR effects, to the video output. This could be done by saving them to a video file, streaming them to a website, or displaying them in an app, etc.

[0067] Figure 4 This is a flowchart illustrating the operation of a live video overlay module 214 according to one embodiment when performing a method 400 for enhancing live video feeds using AR effects. The operation of method 400 can be described above regarding... Figure 2 The described system 100 may be executed by one or more subsystems, such as the live video overlay module 214. Figure 4 As shown, method 400 includes one or more operations 402 and 404.

[0068] At operation 402, the system receives input from the interface presented at client device 106, selecting one or more AR effects corresponding to a specific object type. For example, the user can select a "dog" effect or a "car" effect from the menu. This indicates that AR effects related to dogs or cars should be applied to the video.

[0069] At operation 404, the system detects a depiction of the desired object type within the live video feed frames received from video feed 126. This utilizes computer vision techniques to scan video frames of the selected object type within the converted video frames of video feed 126. For example, if the "dog" AR effect is selected, a dog object detector will be used to identify dogs in the frames.

[0070] This can be achieved using various object detection algorithms such as Haar cascades, HOG, deep learning networks, etc. The desired object detector will be activated based on the effect type selected in operation 402. Object detection generates regions of interest within frames depicting the selected object type.

[0071] As discussed in operation 306 of method 300, once a region of interest is identified, the system can apply corresponding AR effects to these regions. For example, virtual dog accessories can be overlaid on a detected dog. The effects are customized based on the selected object type.

[0072] Figure 5 This is a flowchart illustrating the operation of a live video overlay module 214 according to one embodiment when performing a method 500 for enhancing live video feeds using AR effects. The operation of method 500 can be described above regarding... Figure 2 The described system 100 may be executed by one or more subsystems, such as the live video overlay module 214. Figure 5 As shown, method 500 includes one or more operations 502, 504 and 506.

[0073] At operation 502, the system converts the live video feed frames received from video feed 126 from their original frame rate to the frame rate required by the AR SDK. Live video can have various frame rates such as 24, 30, and 60 fps, while the AR SDK may require a specific rate. Frame doubling, tripling, or merging smooths out mismatches between different domains.

[0074] Frame rate conversion uses interpolation techniques to generate new frames. This matches the feed to the frame rate of the AR SDK. Motion-compensated interpolation predicts missing frames by analyzing pixel motion vectors. This maintains smoothness during up- or down-conversion and avoids stuttering. The matched rate provides optimal SDK performance.

[0075] At operation 504, the matched frame rate allows the AR SDK to apply effects smoothly without dropped or duplicated frames. Virtual graphics transition realistically across scenes without jitter.

[0076] At operation 506, the system then converts the frame rate back to the original live feed rate. The enhanced frames with the effect are up- or down-converted to match the initial video of video feed 126.

[0077] This allows AR effects to be added at the optimal frame rate for the SDK while maintaining the original frame rate of the live feed. Frame rate conversion ensures that the effects are smoothly integrated back into the live video.

[0078] Figure 6 This is a flowchart illustrating the operation of a live video overlay module 214 according to one embodiment when performing a method 600 for enhancing live video feeds using AR effects. The operation of method 600 can be described above regarding... Figure 2 The described system 100 may be executed by one or more subsystems, such as the live video overlay module 214. Figure 6 As shown, method 600 includes one or more operations 602 and 604.

[0079] At operation 602, the system uses a convolutional neural network to detect depictions of objects such as people, vehicles, animals, text, and architectural structures within the live video feed frames. The network analyzes pixel patterns using deep learning techniques to identify visual features and semantics associated with different object categories. Object detection generates regions of interest (ROIs) and classification labels corresponding to the detected items.

[0080] The system scans each incoming video frame and uses an optimized detection model to identify and locate objects in real time. The model locates bounding boxes for objects with associated labels (e.g., people, cars, pets), tracking multiple categories across scenes with virtually no latency. This provides regions that can be mapped to effects.

[0081] At operation 604, the system renders the selected AR effect onto the detected object, allowing the graphics to track the object's location and outline. The virtual overlay is mapped onto a real surface to create an immersive experience. For example, as the depicted person or object moves, the hat (or other) effect translates and rotates to remain realistically fixed to its head or other tracked point.

[0082] The integration of computer vision-based tracking and interactive AR overlays allows for realistic dynamic effects synchronized with live action. Broadcast viewers experience enhanced immersion in response to the captured content.

[0083] Machine architecture

[0084] Figure 7This is a schematic representation of machine 700, within which instructions 710 (e.g., software, programs, applications, applets, or other executable code) can be executed to cause machine 700 to perform any or more of the methods discussed herein. For example, instructions 710 can cause machine 700 to perform any or more of the methods described herein. Instructions 710 transform a general, unprogrammed machine 700 into a specific machine 700 programmed to perform the described and illustrated functions in the described manner. Machine 700 can operate as a standalone device or can be coupled (e.g., networked) to other machines. In a networked deployment, machine 700 can operate as a server machine or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. Machine 700 may include, but is not limited to: server computers, client computers, personal computers (PCs), tablet computers, laptop computers, netbooks, set-top boxes (STBs), personal digital assistants (PDAs), entertainment media systems, cellular phones, smartphones, mobile devices, wearable devices (e.g., smartwatches), smart home devices (e.g., smart appliances), other smart devices, web devices, network routers, network switches, network bridges, or any machine capable of sequentially or otherwise executing instructions 710 specifying actions to be taken by machine 700. Furthermore, although only a single machine 700 is shown, the term "machine" should also be considered as a collection of machines that individually or jointly execute instructions 710 to perform any one or more of the methods discussed herein. For example, machine 700 may include client device 106 or any of a plurality of server devices forming part of server system 104. In some examples, machine 700 may also include both client and server systems, wherein certain operations of a particular method or algorithm are performed on the server side and certain operations of said particular method or algorithm are performed on the client side.

[0085] Machine 700 may include processor 704, memory 706, and input / output I / O components 638, which may be configured to communicate with each other via bus 740. In the example, processor 704 (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), other processors, or any suitable combination thereof) may include, for example, processors 708 and 712 that execute instruction 710. The term "processor" is intended to include multi-core processors, which may include two or more independent processors (sometimes referred to as "cores") capable of executing instructions simultaneously. Although... Figure 7 Multiple processors 704 are shown, but machine 700 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.

[0086] Memory 706 includes main memory 714, static memory 716, and storage cells 718, all of which are accessible by processor 704 via bus 740. Main memory 706, static memory 716, and storage cells 718 store instructions 710 that implement any one or more of the methods or functions described herein. Instructions 710 may also reside wholly or partially within main memory 714, static memory 716, machine-readable medium 720 within storage cells 718, at least one processor of processor 704 (e.g., within the processor's cache memory), or any suitable combination thereof during execution by machine 700.

[0087] I / O component 702 may include a wide variety of components for receiving input, providing output, generating output, sending information, exchanging information, capturing measurement results, etc. The specific I / O component 702 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 is unlikely to include such a touch input device. It should be understood that I / O component 702 may include... Figure 7Many other components are not shown. In various examples, I / O component 702 may include user output component 726 and user input component 728. User output component 726 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 tube (CRT) displays), acoustic components (e.g., speakers), haptic components (e.g., vibration motors, resistance mechanisms), other signal generators, etc. User input component 728 may include alphanumeric input components (e.g., keyboards, touchscreens configured to receive alphanumeric input, optical keyboards, or other alphanumeric input components), point-based input components (e.g., mice, touchpads, trackballs, joysticks, motion sensors, or other pointing instruments), haptic input components (e.g., physical buttons, touchscreens or other haptic input components that provide positioning and force for touch or touch gestures), audio input components (e.g., microphones), etc.

[0088] In other examples, I / O component 702 may include biometric component 730, motion component 732, environmental component 734, or position component 736, as well as a wide range of other components. For example, biometric component 730 includes components for detecting expressions (e.g., hand expressions, facial expressions, vocal expressions, body posture, or eye tracking), measuring biosignals (e.g., blood pressure, heart rate, body temperature, sweating, or brain waves), and identifying people (e.g., voice recognition, retinal recognition, facial recognition, fingerprint recognition, or EEG-based recognition). Motion component 732 includes accelerometer components (e.g., accelerometers), gravity sensor components, and rotation sensor components (e.g., gyroscopes).

[0089] The environmental component 734 includes, for example, one or more camera devices (with still image / photograph and video capabilities), lighting sensor components (e.g., photometers), temperature sensor components (e.g., one or more thermometers for detecting ambient temperature), humidity sensor components, pressure sensor components (e.g., barometers), acoustic sensor components (e.g., one or more microphones for detecting background noise), proximity sensor components (e.g., infrared sensors for detecting nearby objects), gas sensors (e.g., gas detection sensors for detecting the concentration 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.

[0090] Regarding the camera device, client device 106 may have a camera device system including, for example, a front-facing camera on the front surface of client device 106 and a rear-facing camera on the rear surface of client device 106. The front-facing camera may be used, for example, to capture still images and videos (e.g., "selfies") of the user of client device 106, which can then be enhanced using the aforementioned enhancement data (e.g., filters). The rear-facing camera may be used, for example, to capture still images and videos in a more conventional camera device mode, wherein these images are similarly enhanced using enhancement data. In addition to the front-facing and rear-facing cameras, client device 106 may also include a 360° camera for capturing 360° photos and videos.

[0091] Furthermore, the camera system of the client device 106 may include dual rear cameras (e.g., a main camera and a depth-sensing camera), or even include a triple, quad, or penta-rear camera configuration on the front and rear sides of the client device 106. For example, these multi-camera systems may include wide-angle cameras, ultra-wide-angle cameras, telephoto cameras, macro cameras, and depth sensors.

[0092] The position component 736 includes a positioning sensor component (e.g., a GPS receiver component), an altitude sensor component (e.g., an altimeter or barometer that detects air pressure and from which altitude can be obtained), an orientation sensor component (e.g., a magnetometer), and the like.

[0093] A wide variety of technologies can be used to implement communication. I / O component 702 also includes communication component 738, which is operable to couple machine 700 to network 722 or device 724 via a suitable coupling or connection. For example, communication component 738 may include a network interface component or other suitable device that interfaces with network 722. In other examples, communication component 738 may include wired communication component, wireless communication component, cellular communication component, near field communication (NFC) component, Bluetooth component, etc. ® Components (e.g., Bluetooth) ® Low power consumption, Wi-Fi ® Components, and other communication components for providing communication via other modes. Device 724 can be any peripheral device (e.g., a peripheral device coupled via USB) from other machines or a wide variety of peripheral devices.

[0094] Furthermore, the communication component 738 can detect identifiers or include components operable to detect identifiers. For example, the communication component 738 may 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 barcodes such as Universal Product Code (UPC) barcodes, multi-dimensional barcodes such as Quick Response (QR) codes, Aztec codes, Data Matrix, Dataglyph, MaxiCode, PDF417, UltraCode, UCC RSS-2D barcodes, and other optical codes), or an acoustic detection component (e.g., a microphone for identifying audio signals from the tag). Additionally, various information can be obtained via the communication component 738, such as location via Internet Protocol (IP) geolocation, location via Wi-Fi® signal triangulation, location via detecting NFC beacon signals that can indicate a specific location, etc.

[0095] Various memories (e.g., main memory 714, static memory 716, and the memory of processor 704) and storage units 718 may store one or more sets of instructions and data structures (e.g., software) used or implemented by any one or more of the methods or functions described herein. When executed by processor 704, these instructions (e.g., instruction 710) enable various operations to implement the disclosed examples.

[0096] Instructions 710 can be sent or received over network 722 via a transmission medium using a network interface device (e.g., a network interface component included in communication component 738) and using any of several known transmission protocols (e.g., Hypertext Transfer Protocol (HTTP)). Similarly, instructions 710 can be sent or received via a transmission medium through a coupling to device 724 (e.g., peer-to-peer coupling).

[0097] Software Architecture

[0098] Figure 8 This is a block diagram 800 illustrating a software architecture 804 that can be installed on any one or more of the devices described herein. The software architecture 804 is supported by hardware such as a machine 802 including a processor 820, memory 826, and I / O components 838. In this example, the software architecture 804 can be conceptualized as a stack of layers, where each layer provides a specific function. The software architecture 804 includes layers such as an operating system 812, libraries 810, frameworks 808, and applications 806. Operationally, application 806 activates API calls 850 via the software stack and receives messages 852 in response to API calls 850.

[0099] Operating system 812 manages hardware resources and provides public services. Operating system 812 includes, for example, a core 814, services 816, and drivers 822. Core 814 acts as an abstraction layer between hardware and other software layers. For example, core 814 provides memory management, processor management (e.g., scheduling), component management, networking and security settings, and other functions. Services 816 can provide other public services to other software layers. Drivers 822 are responsible for controlling or interfacing with the underlying hardware. For example, drivers 822 may include display drivers, camera drivers, BLUETOOTH® or BLUETOOTH® low-power drivers, flash memory drivers, serial communication drivers (e.g., USB drivers), Wi-Fi® drivers, audio drivers, power management drivers, etc.

[0100] Library 810 provides general-purpose low-level infrastructure used by application 806. Library 810 may include system libraries 818 (e.g., the C standard library) that provide functions such as memory allocation, string manipulation, and mathematical functions. Additionally, library 810 may include API libraries 824, such as media libraries (e.g., libraries for supporting the rendering 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 codecs, Joint Picture Experts Group (JPEG or JPG), or Portable Web Graphics (PNG)), graphics libraries (e.g., the OpenGL framework for rendering graphic content on a display in two-dimensional (2D) and three-dimensional (3D) formats), database libraries (e.g., SQLite providing various relational database functions), web libraries (e.g., WebKit providing web browsing functionality), etc. Library 810 may also include a wide variety of other libraries 828 to provide many other APIs to application 806.

[0101] Framework 808 provides general-purpose high-level infrastructure for use by Application 806. For example, Framework 808 provides various graphical user interface (GUI) functions, advanced resource management, and advanced location services. Framework 808 can provide a wide range of other APIs that can be used by Application 806, some of which may be specific to a particular operating system or platform.

[0102] In the example, application 806 may include home application 836, contact application 830, browser application 832, book reader application 834, location application 842, media application 844, messaging application 846, game application 848, and a wide variety of other applications such as third-party application 840. Application 806 is a program that performs the functions defined in the program. One or more applications 806 can be created using various programming languages, such as object-oriented programming languages ​​(e.g., Objective-C, Java, or C++) or procedural programming languages ​​(e.g., C or assembly language). In a particular example, third-party application 840 (e.g., an application developed by an entity other than a platform vendor using the Android™ or iOS™ Software Development Kit (SDK)) may be mobile software running on mobile operating systems such as iOS™, Android™, Windows® Phone, or other mobile operating systems. In this example, third-party application 840 may activate API calls 850 provided by operating system 812 to facilitate the implementation of the functions described herein.

[0103] Processing components

[0104] Turn now Figure 9 The diagram shows a schematic representation of a processing environment 900, which includes processor 902, processor 906, and processor 908 (e.g., GPU, CPU, or a combination thereof).

[0105] According to the embodiments discussed herein, processor 902 is shown as coupled to power supply 904 and is shown as including operations configured to perform such... Figure 3 Method 300 Figure 4 Method 400 Figure 5 Method 500 and Figure 6 The modules (permanently configured or temporarily instantiated) discussed in method 600 are the video feed module 910, the AR module 912, and the display module 914.

[0106] Glossary

[0107] "Carrier signal" refers to any intangible medium or other intangible medium that can store, encode, or carry instructions for machine execution and includes digital or analog communication signals. Instructions can be sent or received over a network using a transmission medium via a network interface device.

[0108] "Client device" refers to any machine that interfaces with a communication network to obtain resources from one or more server systems or other client devices. Client devices can be, but are not limited to, mobile phones, desktop computers, laptop computers, portable digital assistants (PDAs), smartphones, tablet computers, ultrabooks, netbooks, laptop computers, multiprocessor systems, microprocessor-based or programmable consumer electronics, game consoles, set-top boxes, or any other communication device that a user can use to access the network.

[0109] "Communications network" refers to one or more parts of a network, which can be an ad hoc network, intranet, extranet, virtual private network (VPN), local area network (LAN), wireless LAN (WLAN), wide area network (WAN), wireless WAN (WWAN), metropolitan area network (MAN), the Internet, a part of the Internet, a part of the Public Switched Telephone Network (PSTN), a Common Old-Style Telephone Service (POTS) network, a cellular telephone network, a wireless network, a Wi-Fi® network, other types of networks, or a combination of two or more such networks. For example, a network or part of a 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 types of cellular or wireless coupling. In this example, coupling can enable any data transmission technology of various types, such as single-carrier radio transmission technology (1xRTT), evolved data optimization (EVDO) technology, general packet radio service (GPRS) technology, enhanced data rate GSM evolution (EDGE) technology, the 3rd Generation Partnership Project (3GPP) including 3G, fourth-generation wireless (4G) networks, Universal Mobile Telecommunications System (UMTS), High-Speed ​​Packet Access (HSPA), Global Microwave Access Interoperability (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.

[0110] A “component” refers to a device, physical entity, or logic having boundaries defined by function or subroutine calls, branch points, APIs, or other technologies that provide partitioning or modularization of specific processing or control functions. Components can be combined with other components via their interfaces to perform machine processing. A component can be an encapsulated functional hardware unit designed for use with other components and can be part of a program that typically performs a specific function in a related function. Components can constitute software components (e.g., code implemented on a machine-readable medium) or hardware components. A “hardware component” is a tangible unit capable of performing certain operations and can be configured or arranged in some physical manner. In various example implementations, one or more computer systems (e.g., standalone computer systems, client computer systems, or server computer systems) or one or more hardware components (e.g., processors or processor groups) of a computer system can be configured by software (e.g., an application or application portion) to operate as hardware components performing certain operations described herein. Hardware components can also be implemented mechanically, electronically, or any suitable combination thereof. For example, a hardware component can include a dedicated circuit system or logic permanently configured to perform certain operations. Hardware components can be dedicated processors, such as field-programmable gate arrays (FPGAs) or application-specific integrated circuits (ASICs). Hardware components can also include programmable logic or circuitry systems that are temporarily configured by software to perform certain operations. For example, a hardware component may 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 part of a machine) uniquely tailored to perform the configured function, and no longer a general-purpose processor. It should be understood that the decision to implement hardware components mechanically in dedicated and permanently configured circuitry systems or in temporarily configured circuitry systems (e.g., software-configured) may be driven by cost and time considerations. Therefore, the phrase "hardware component" (or "hardware-implemented component") should be understood to include tangible entities, i.e., entities physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain way or perform certain operations described herein. Given the implementation in which hardware components are temporarily configured (e.g., programmed), each of the hardware components does not need to be configured or instantiated at any given time. For example, in cases where the hardware components include a general-purpose processor that is configured by software to become a dedicated processor, this general-purpose processor can be configured as different dedicated processors (e.g., including different hardware components) at different times. The software accordingly configures one or more specific processors to constitute a specific hardware component at one time and different hardware components at different times. Hardware components can provide information to and receive information from other hardware components. Accordingly, the described hardware components can be considered communicatively coupled.In the presence of multiple hardware components, communication can be achieved through signal transmission (e.g., via appropriate circuitry and buses) between two or more hardware components. In embodiments where multiple hardware components are configured or instantiated at different times, such communication between hardware components can be achieved, for example, by storing information in a memory structure accessible to the multiple hardware components and retrieving information from said memory structure. For example, a hardware component can perform an operation and store the output of that operation in a memory device communicatively coupled to it. Other hardware components can then access the memory device at a subsequent time to retrieve and process the stored output. Hardware components can also initiate communication with input or output devices and can operate on resources (e.g., collections of information). The various operations of the example methods described herein can be performed at least in part by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors can constitute processor-implemented components that operate 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 methods described herein can be implemented at least in part by processors, wherein a particular processor or one or more processors are examples of hardware. For example, at least some operations of the method can be performed by one or more processors 1004 or processor-implemented components. Furthermore, one or more processors can also be configured 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 can be performed by a group of computers (as an example of a machine including processors), wherein these operations are accessible via a network (e.g., the Internet) and via one or more suitable interfaces (e.g., APIs). The execution of some operations can be distributed across processors, residing not only within a single machine but also deployed across multiple machines. In some example implementations, the processor or processor-implemented components can be located in a single geographic location (e.g., within a home environment, office environment, or server cluster). In other example implementations, the processor or processor-implemented components can be distributed across multiple geographic locations.

[0111] "Computer-readable storage medium" refers to both machine-readable storage media and transmission media. Therefore, these terms include both storage devices / media and carrier / modulated data signals. The terms "machine-readable medium," "computer-readable medium," and "device-readable medium" refer to the same thing and may be used interchangeably in this disclosure.

[0112] A "transient message" is a message that is accessible for a limited time. Transient messages can be text, images, videos, etc. The access time for a transient message can be set by the message sender. Alternatively, the access time can be a default setting or a setting specified by the recipient. Regardless of the setting method, the message is transient.

[0113] "Machine storage medium" refers to one or more storage devices and media (e.g., centralized or distributed databases, and associated caches and servers) that store executable instructions, routines, and data. Therefore, this term should be considered 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; disks, such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks. The terms "machine storage medium," "device storage medium," and "computer storage medium" mean the same thing and may be used interchangeably in this disclosure. The terms "machine storage medium," "computer storage medium," and "device storage medium" expressly exclude carrier waves, modulated data signals, and other such media, at least some of which are covered by the term "signal medium."

[0114] "Non-transitory computer-readable storage medium" refers to a tangible medium capable of storing, encoding, or carrying instructions for machine execution.

[0115] "Signal medium" means any intangible medium capable of storing, encoding, or carrying instructions for machine execution and comprising digital or analog communication signals, or other intangible medium facilitating the communication of software or data. The term "signal medium" should be considered to include any form of modulated data signal, carrier wave, etc. The term "modulated data signal" means a signal whose one or more characteristics are set or altered in a manner that encodes information in the signal. The terms "transmission medium" and "signal medium" mean the same thing and may be used interchangeably in this disclosure.

Claims

1. A method comprising: Receive live broadcast video feeds that include multiple video frames; Determine the first video format of the plurality of video frames; Each of the plurality of video frames is converted from a first video format to a second video format corresponding to an Augmented Reality (AR) Software Development Kit (SDK); Apply one or more AR effects from the AR SDK to each of the converted frames in the plurality of video frames; Each of the plurality of video frames is reconverted into the first video format; as well as Provide the broadcast video output interface with the plurality of video frames including one or more of the AR effects.

2. The method of claim 1, wherein, The first video format of the plurality of video frames is determined based on the attributes of the live broadcast video feed.

3. The method of claim 1, wherein, Determining the first video format of the plurality of video frames is based on input that identifies the first video format.

4. The method of claim 1, wherein, Applying one or more AR effects to each of the converted frames in the plurality of video frames includes: Detecting the depiction of objects within the plurality of video frames; and The one or more AR effects are applied to the depiction of objects within the multiple video frames.

5. The method of claim 4, wherein, The detection of the object's depiction includes: Receive input selecting one or more AR effects, wherein the one or more AR effects correspond to an object type; and The depiction of objects within the plurality of video frames is detected based on one or more selected object types of AR effects.

6. The method of claim 1, wherein, Applying one or more AR effects to each of the converted frames in the plurality of video frames includes: Receive input from selecting one or more AR effects from a variety of AR effects.

7. The method of claim 1, wherein, The live broadcast video feed input includes a first frame rate, the ARSDK operates at a second frame rate, and the method further includes: The multiple frames of the live broadcast video feed are converted from the first frame rate to the second frame rate; Apply one or more AR effects from the AR SDK to each of the converted frames of the live broadcast feed; and The converted multiple frames, including one or more of the AR effects, are upconverted to a first frame rate associated with the live broadcast feed.

8. A system comprising: One or more processors; as well as The memory includes instructions that, when executed by the one or more processors, cause the one or more processors to perform operations, the operations including: Receive live broadcast video feeds that include multiple video frames; Determine the first video format of the plurality of video frames; Each of the plurality of video frames is converted from a first video format to a second video format corresponding to an Augmented Reality (AR) Software Development Kit (SDK); Apply one or more AR effects from the AR SDK to each of the converted frames in the plurality of video frames; Each of the plurality of video frames is reconverted into the first video format; and Provide the broadcast video output interface with the plurality of video frames including one or more of the AR effects.

9. The system of claim 8, wherein, The first video format of the plurality of video frames is determined based on the attributes of the live broadcast video feed.

10. The system of claim 8, wherein, Determining the first video format of the plurality of video frames is based on input that identifies the first video format.

11. The system of claim 8, wherein, Applying one or more AR effects to each of the converted frames in the plurality of video frames includes: Detecting the depiction of objects within the plurality of video frames; and The one or more AR effects are applied to the depiction of objects within the multiple video frames.

12. The system of claim 11, wherein, The detection of the object's depiction includes: Receive input selecting one or more AR effects, wherein the one or more AR effects correspond to an object type; and The depiction of objects within the plurality of video frames is detected based on one or more selected object types of AR effects.

13. The system of claim 8, wherein, Applying one or more AR effects to each of the converted frames in the plurality of video frames includes: Receive input from selecting one or more AR effects from a variety of AR effects.

14. The object of claim 8, wherein, The live broadcast video feed input includes a first frame rate, the ARSDK operates at a second frame rate, and also includes: The multiple frames of the live broadcast video feed are converted from the first frame rate to the second frame rate; Apply one or more AR effects from the AR SDK to each of the converted frames of the live broadcast feed; and The converted multiple frames, including one or more of the AR effects, are upconverted to a first frame rate associated with the live broadcast feed.

15. A machine-readable storage medium including instructions that, when executed by one or more processors of the machine, cause the machine to perform operations, the operations including: Receive live broadcast video feeds that include multiple video frames; Determine the first video format of the plurality of video frames; Each of the plurality of video frames is converted from a first video format to a second video format corresponding to an Augmented Reality (AR) Software Development Kit (SDK); Apply one or more AR effects from the AR SDK to each of the converted frames in the plurality of video frames; Each of the plurality of video frames is reconverted into the first video format; as well as Provide the broadcast video output interface with the plurality of video frames including one or more of the AR effects.

16. The machine-readable storage medium of claim 15, wherein, The first video format of the plurality of video frames is determined based on the attributes of the live broadcast video feed.

17. The machine-readable storage medium of claim 16, wherein, Determining the first video format of the plurality of video frames is based on input that identifies the first video format.

18. The machine-readable storage medium of claim 15, wherein, Applying one or more AR effects to each of the converted frames in the plurality of video frames includes: Detecting the depiction of objects within the plurality of video frames; and The one or more AR effects are applied to the depiction of objects within the multiple video frames.

19. The machine-readable storage medium of claim 18, wherein, The detection of the object's depiction includes: Receive input selecting one or more AR effects, wherein the one or more AR effects correspond to an object type; and The depiction of objects within the plurality of video frames is detected based on one or more selected object types of AR effects.

20. The non-transitory machine-readable storage medium of claim 15, wherein, Applying one or more AR effects to each of the converted frames in the plurality of video frames includes: Receive input from selecting one or more AR effects from a variety of AR effects.

Images