A device for processing video data can be configured to receive a configuration record for decoding a bitstream of the video data, wherein the configuration record for the bitstream includes a toolset indication syntax element that includes information identifying, from a set of video decoding tools, tools that are required to decode the bitstream associated with the configuration record; based on the toolset indication syntax element, determine whether to retrieve the bitstream associated with the configuration record; and based on the determination to retrieve the bitstream associated with the configuration record, retrieve the bitstream and outputting the bitstream to a video decoder for decoding.

The present application discloses a video processing method, an electronic device, and a computer-readable medium. The method comprises: a system playing module acquiring a video file to be played and sent by a target client; determining whether playing of the video file is supported; if not, parsing the video file to acquire an audio stream and a video stream in the video file; configuring an audio decoder identifier for the audio stream, and configuring a video decoder identifier for the video stream; and sending to an FFmpeg module the video stream, the audio stream, the video decoder identifier, and the audio decoder identifier, such that the FFmpeg module decodes the video file to acquire audio playing data and video playing data, wherein the audio playing data and the video playing data can be played by an audio and video output module of an electronic device.

An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.

A data processing system for accessing encoded digital data comprises an accessor pipeline generator. The accessor pipeline generator may comprise an accessor functional unit selector and an accessor functional unit connector. The accessor functional unit selector may iteratively select platform independent accessor functional units from an accessor functional unit library to generate an accessor pipeline. The pipeline may be tested during the process of accessor pipeline generation. The encoded data and the generated accessor pipeline may be stored in a container.

Technologies are disclosed for associating a subscriber's subscription profile established with a local media content delivery network, or MSO, with a remote CPE and/or network gateway device, perhaps for example served by the same MSO. One or more techniques may control the delivery of a subscriber's media content, perhaps for example by a media control device. Techniques may include receiving one or more credentials by the media control device, where the media control device is geographically remote from the subscriber's local media content delivery network. A signal may be sent to a media content delivery network device, where the signal may include information corresponding to the credentials. A configuration may be received for the subscriber's local media content delivery network in response to the signal. The configuration may be installed on the media control device. Media content may be delivered by the media control device.

A system and method for displaying digital media files is disclosed. In one embodiment, the system includes a user interface, a media file decryptor, an ad manager, an intersplicer, and a media player. The user interface receives input from a user indicating the selection of media files to be presented. The media file decryptor receives and decrypts the selected media files. The ad manager receives and manages ad files from an ad file source. The intersplicer combines the media files with the ad files by providing control signals to the media player, causing the media player to present the ad files with the selected media files.

The present invention provides a media player configurable to provide the user with a seamless way of conducting transactions from within a window of the media player itself. All intermediate steps relating to the required transaction are carried out by calling up relevant modules/applications from within the application libraries from within an e-commerce platform. In preferred embodiments, the media player is configured to retrieve an encoded media file from a server or other content delivery network (CDN). The media player is further configured to display predefined overlays to the user during playback of the media file in response to identifying cues encoded into the media file by the content owner. The content owner can upload the media files to a server or other CDN via a dashboard/user interface. The cues can be encoded with a plurality of fields to enable the desired functionality to be achieved.

A method comprising: obtaining (400), in a first apparatus (500), media content, encoding (402), in a neural data compression network of the first apparatus (500), the media content wherein one or more parameters of the neural data compression network are determined based on a type of at least one analysis task to be performed on the media content; and transmitting (404) the encoded media content to a second apparatus (502).

A terminal for receiving streaming data may receive information of a plurality of different quality versions of an image content; request, based on the information, a server for a version of the image content from among the plurality of different quality versions of the image content; when the requested version of the image content and artificial intelligence (AI) data corresponding to the requested version of the image content are received, determines whether to perform AI upscaling on the received version of the image content, based on the AI data; and based on a result of the determining whether to perform AI upscaling, performs AI upscaling on the received version of the image content through a upscaling deep neural network (DNN) that is trained jointly with a downscaling DNN of the server.

The present disclosure relates to a method and device for adapting a video content decoded from elementary streams to the characteristics of a display from at least one type of metadata giving information regarding said elementary streams. Such a method comprises: —obtaining (102) an additional information (HDR DESCR.) indicating the presence of one particular type of metadata; —determining if said video content decoded from elementary streams is displayable on said display (11) from said additional information (HDR DESCR.) and the characteristics of the display (EDID); and —if said video content decoded from elementary streams is determined as being displayable, selecting (105) a process from said additional information and the characteristics of the display and adapting (106) the video content according to the selected process.