1968results about "Carrier indicating arrangements" patented technology

In some embodiments, a computer system displays a caption for a media item at different depths depending on the depth of the portion of the media item over which the caption is displayed. In some embodiments, a computer system displays a user interface element that includes information associated with the media item at different locations relative to the media item depending on attention of the user. In some embodiments, a computer system displays a user interface element that includes information associated with the media item with different visual appearances depending on visual characteristics of the portion of the media item over which the user interface element is displayed.

A computing system for video content creation executes a chat application to cause the processor to, in a chat conversation with a user in real-time, receive communication including a command from the user for interacting with a video content, use the large language model to analyze the command and generate a natural language response and a recommended action to implement on the video content based at least on the analyzed command, and implement the recommended action on the video content based at least on the analyzed command.

The presently disclosed embodiments may include a computer readable medium including instructions that when executed by one or more processing devices cause the one or more processing devices to: receive an identification of at least one source audio or video with audio file, generate a textual transcript based on an audio component associated with the at least one source audio or video with audio file, edit the textual transcript to provide a formatted textual transcript, segment the formatted textual transcript into two or more segments, generate at least one summary snippet associated with the two or more segments, and cause the at least one summary snippet to be shown on a display together with a representation of the at least one source audio or video with audio file.

Provided is a video generation model for performing text-to-video (T2V) or other video generation techniques. The proposed model reduces the computational costs associated with video generation. In particular, unlike traditional T2V methods, the disclosed technology can generate the full temporal duration of a video clip at once, bypassing the need for extensive computation. As one example, a machine-learned denoising diffusion model can simultaneously process a plurality of noisy inputs that correspond to various timestamps spanning the temporal dimension of a video to simultaneously generate synthetic frames for the video that match the timestamps.

Systems and methods of compressing video content as encoded data and selectively reconstructing portions of the content are disclosed. The proposed systems provide a computer-implemented process configured to classify a person's behavior(s) during a video and encode the behaviors as a representation of the video. When playback of the video is requested, a video navigation assistant will allow the end-user to select specific segments of the video based on topics discussed in the video and the codes that were generated to represent the video. The user is then able to move through segments of the video in a sequence that aligns with their viewing preferences.

A system, a method and a processor are for AI-powered generation and delivery of video clips. The processor is configured to: load a first video file of a first video content item, the first video file comprising video frames associated with timestamps; load a first subtitle file of the first video content item, the first subtitle file comprising subtitle text associated with the timestamps; execute a natural language processing (NLP) model with the subtitle text as input, the NLP model including language pre-processing steps for classifying words, names or phrases in the subtitle text and associating initial classifiers with the subtitle text, the NLP model including one or more of a recurrent neural network (RNN), a Bidirectional Encoder Representations from Transformers (BERT) model, or a generative pre-trained transformer (GPT) model for a dialogue analysis comprising processing sequences of dialogue in the subtitle text in view of the initial classifiers to associate one or more portions of the dialogue with one or more first classifiers of first narrative elements; execute an image recognition model with at least some of the video frames as input, the image recognition model including a convolutional neural network (CNN) for an object detection analysis and a facial recognition analysis comprising processing video sequences to associate one or more of the video frames with one or more second classifiers of second narrative elements; generate a narrative map of the first video content item by temporally aligning the first narrative elements with the second narrative elements based on the timestamps associated with the video frames and the first subtitle file; and generate a video clip including at least one segment of the first video content item, the at least one segment including selected video frames associated with at least one of the first or second narrative elements identified from the narrative map and selected for inclusion in the video clip.

The present disclosure generally relates to user interfaces for media-processing styles. In some embodiments, the present disclosure relates to user interfaces for editing media-processing styles.

The embodiment of the invention provides a media content processing method and device, a storage medium and a program product, and the method comprises the steps that dialogue content is displayed in a dialogue window of a first interface, the dialogue content is used for indicating an editing intention of a user on to-be-processed media content, and the first interface comprises an editing track, an editing effect preview area and the dialogue window; the editing track is used for presenting a video clip formed based on the to-be-processed media content, the editing effect preview area is used for playing the video clip formed based on the to-be-processed media content, the to-be-processed media content is edited according to the dialogue content, target media content is obtained, and the target media content comprises the to-be-processed media content and editing information. According to the method provided by the embodiment of the invention, the learning cost of the target user is reduced, the operation is simple, and the intelligent level of media content generation is improved.

An audio podcast distribution system includes a server configured to aggregate and store podcast audio files in a database, and a computing device in communication with the server. The computing device has a processor and a display coupled to the processor. The processor is configured to render an audio playback GUI on the display for playing a given podcast audio file from the database. The audio playback GUI includes a playback control user input, and an audio snippet creation user input. The processor is configured to when the audio snippet creation user input is activated, render an audio snippet creation GUI for the server to generate an audio snippet of the given podcast audio file, and add the audio snippet of the given podcast audio file to the database.

Methods and systems are disclosed for generating video by applying a template to various content items. The methods and systems select, by an interaction application, a video generation template comprising instructions for combining a set of content items into a video using one or more augmented reality (AR) elements. The methods and systems identify a subset of content items from a plurality of previously captured content items and modify one or more content items of the identified subset of content items based on the AR elements of the video generation template. The methods and systems generate a video comprising a collection of content items including the identified subset of content items and the modified one or more content items based on the instructions of the video generation template.

An image processing apparatus for generating a virtual viewpoint video includes a first viewpoint determination unit arranged to generate a camera parameter of a first virtual camera based on an input value from a first input device, a playback-position determination unit arranged to determine a playback position of a virtual viewpoint image based on the input value from the first input device, a first-video generation unit arranged to generate a first virtual viewpoint video based on the first virtual camera and the playback position, a second viewpoint determination unit arranged to generate a camera parameter of a second virtual camera based on the input value from the first input device and an input value from a second input device, and a second video generation unit arranged to generate a second virtual viewpoint video based on the second virtual camera and the playback position.

A video processing method, an electronic device, and a computer-readable storage medium. The video processing method includes: displaying a first interface of a camera application, where the first interface of the camera application includes a first control; in response to a first operation on the first control, starting to record a first video; displaying a first interface of a gallery application after the recording of the first video is completed, where the first interface of the gallery application includes: a first thumbnail corresponding to the first video; and displaying a second interface of the gallery application in response to a third operation on the first thumbnail, where the second interface of the gallery application includes: the first thumbnail and a third thumbnail of a second image, and the second image is an image automatically acquired from the first video.

This application discloses a shooting method, a graphical interface, and a related apparatus. In the method, an electronic device can display a preview interface, and the preview interface is used to display a preview image captured by a camera in real time. The electronic device may include a plurality of look-up table (LUT) templates, and these LUT templates may change a color value of the preview image, so that a display effect of the preview image is similar to or the same as a display effect of a movie, where the display effect may refer to hue, luminance, saturation, and the like. In other words, a shooting mode related to a movie is provided in the method.

In other embodiments, a method to perform image-based searching may include receiving a group of images from a content owner; creating an index using the group of images; receiving a further image from a mobile computing device of a user; determining a correlation between the further image and the index; and / or directing the mobile computing device of the user to content of the content owner, responsive to the determining of the correlation.

Provided are systems and methods for the automatic generation of support videos from a source video. For example, the support video can more deeply explain or elaborate upon content included in source video. In particular, a computing system can obtain a source video and extract one or more sets of textual content associated with the source video. For example, the sets of textual content can include a transcript of speech that occurs within the source video. The computing system can process the one or more sets of textual content with a generative sequence processing model to generate, as an output of the generative sequence processing model, additional textual content for a support video.

A method for wireless capture of real-time audio and video at a live event using a mobile computing device includes receiving a data representation of a live audio signal corresponding to the live event via a wireless network. The method also includes processing the data representation of the live audio signal into a live audio stream. The method also includes initiating a video capture corresponding to the live event. The method also includes producing, concurrent with the video capture, a shareable video corresponding to the live event based on the captured video and the live audio stream.

A video having a wide field of view (e.g., spherical field of view) may be presented within a graphical user interface. The graphical user interface may include multiple punchouts of the wide field of view, with the number of punchouts set based on user interaction with a punchout-number element of the graphical user interface. Individual punchouts may be used as output of a virtual camera to provide views of differential spatial parts of the video. Presentation of different spatial parts of the video within different punchouts may be automatically synchronized based on the different spatial parts originating from a single video.

A user interface change event is detected. An app identifier of an associated third party app is determined. A dynamic rule data structure associated with the app identifier of the associated third party app is determined. A user interface match state specified by the dynamic rule data structure is determined based on absolute screen positioning or relative screen positioning. A current user interface state of the associated third party app is determined by querying an accessibility API. Upon determining that the user interface match state matches the current user interface state, at least one user interface report field specified by the dynamic rule data structure is determined and at least one report field property of the at least one user interface report field is extracted by querying the accessibility API. An active session data structure associated with the dynamic rule data structure is updated to store the extracted property value.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for providing an draggable shutter button during video recording. The program and method provide for displaying a user interface within an application running on a device, the user interface presenting real-time image data captured by a camera of the device, the user interface including a shutter button which is configured to be selectable by a user to initiate video recording in response to a first user gesture; and upon detecting the first user gesture selecting the shutter button, initiating video recording with respect to the real-time image data, and providing for the shutter button to be draggable in predefined directions to perform respective functions related to the video recording.

Embodiments of the present invention provide systems, methods, and computer storage media for cutting down a user's larger input video into an edited video comprising the most important video segments and applying corresponding video effects. Some embodiments of the present invention are directed to adding face-aware scale magnification to the trimmed video (e.g., applying scale magnification to simulate a camera zoom effect that hides shot cuts with respect to the subject's face). For example, as the trimmed video transitions from one video segment to the next video segment, a scale magnification may be applied that zooms in on a detected face at a boundary between the video segments to smooth the transition between video segments.

Embodiments of the present invention provide systems, methods, and computer storage media for identifying the relevant segments that effectively summarize the larger input video and / or form a rough cut, and assembling them into one or more smaller trimmed videos. For example, visual scenes and corresponding scene captions are extracted from the input video and associated with an extracted diarized and timestamped transcript to generate an augmented transcript. The augmented transcript is applied to a large language model to extract sentences that characterize a trimmed version of the input video (e.g., a natural language summary, a representation of identified sentences from the transcript). As such, corresponding video segments are identified (e.g., using similarity to match each sentence in a generated summary with a corresponding transcript sentence) and assembled into one or more trimmed videos. In some embodiments, the trimmed video is generated based on a user's query and / or desired length.

Video processing devices, systems and methods are disclosed. A video processing device for processing a source video stream under the control of a video alteration application is provided. A user interface (UI) is presented via which a user specifies a change to be applied to the source video stream. Conditions for the change to be applied to the source video stream are determined. The content of the source video stream is analysed to determine when conditions for the change have been met, and the location within the source video stream to which the change is to be applied. In response, the source video stream is processed to dynamically apply the specified change at the determined location thereby to generate an output video stream.

An audio processing method implemented by an electronic device includes entering a multi-channel video recording mode, detecting a shooting operation of a user, simultaneously recording, after detecting the shooting operation, a first video image and a second video image using a first camera and a second camera, and recording audio of a plurality of sound channels, where the audio includes panoramic audio, first audio corresponding to the first video image, and second audio corresponding to the second video image. The electronic device further records the first audio based on a feature value such as a zoom magnification corresponding to the first display area.

Systems and Methods for Video / Audio Comprehension and Automated Clipping includes providing at least one media clip (MC) within an event for display or listening on a user device including receiving audio or video media data indicative of the event, transcribing the media data into timestamped text, identifying entities within the text, creating text segments having a begin timestamp and end timestamp and having a minimum number of entity mentions in the text segments, clipping from the media data the at least one media clip having a begin timestamp and end timestamp corresponding to the begin timestamp and end timestamp of a corresponding one of the text segments, and providing the at least one media clip to the user device for viewing or listening by a user. Feedback may also be provided to adjust the logic that identifies MCs. MC Alerts may also be sent to users autonomously or based on user-set parameters.

A video editing system leverages a generative artificial intelligence (AI) model to identify songs to overlay on a video. The video editing system extracts a set of key frames from the video and prompts the generative AI model to generate a video narrative for the video. A video narrative is a text description of the plot, theme, feel, or other characteristics of the video. The video editing system uses the video narrative to prompt the generative AI model again to generate a set of descriptor tags for the video based on the video narrative. Descriptor tags are strings that represent themes, features, or characteristics of the song. The video editing system uses an audio tagging system to score a set of songs based on the set of descriptor tags and presents a selected subset of the set of songs based on the scores of the songs.