A system, apparatuses and methods are provided to download and process data and other content streamed over a wide area network using one or more dynamically fetched, material specific, data handlers (e.g., download assistants). A download assistant fetches a data stream from a remote location and processes the streamed data iteratively using buffers and multi-threaded processes through the decoder (e.g., codec), allowing source material-specific processing of the data as it is streamed from one or more download sources as well as content-indifferent and platform-indifferent decoding. To minimize versioning issues, payload construction for secure delivery is simplified to packing and encrypting a directory tree containing any number of files or other digital media into an archive and, when needed, dividing a payload into multiple files or archives with a descriptor that lists the archives.

Described herein is a method for processing of media data for playback, wherein the method includes the steps of: (a) fetching, by a web proxy, from two or more media servers media data and a media manifest file including metadata information relating to the fetched media data, and merging, by the web proxy, the media data; (b) modifying, by said web proxy, the content of the media manifest file and/or the content of the media data; and (c) providing, by said web proxy, the media manifest file and the media data as modified in step (b) to a media retrieval element for receiving and processing the media manifest file and the media data for decoding or playback, wherein a localhost address is assigned to the web proxy and the web proxy acts as a server for said media retrieval element. Described are further a respective device and computer program product.

A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. Additionally, an encoder is configured to signal and/or a decoder is configured to receive a supplementary message comprising volumetric tiling information that maps portions of 2D image representations to objects in the point. In some embodiments, characteristics of the object may additionally be signaled using the supplementary message or additional supplementary messages.

Techniques are disclosed herein that provide a TV receiver that supports a set of existing iTV standards and proprietary iTV implementations. Further, the TV receiver can be extended to support additional iTV standards and proprietary iTV implementations. A digital television data stream is received and processed by a client. The digital television data stream is analyzed to determine which interactive television format is present. A registry of interactive television virtual machines is searched to determine whether a virtual machine is registered for the interactive television format. Each of the interactive television virtual machines is adapted for one of the interactive television formats. If a virtual machine that matches the interactive television format is found, it is loaded and hosted. Hosting the virtual includes providing services to the virtual machine through common application programming interfaces (APIs) machine includes. The common APIs may be used by any virtual machine that is loaded.

The present technology relates to a reception apparatus, a reception method, a transmission apparatus, and a transmission method that make it possible to do a promotion for a non-subscriber to a pay broadcast service more flexibly. The reception apparatus receives broadcast content that is provided as a pay broadcast service and transmitted in a scrambled manner, acquires a subscription check application for checking presence of a subscription to the pay broadcast service depending on information indicating presence of the subscription check application, the information being included in control information including information regarding a structure of the broadcast content, and controls an operation of the subscription check application. The present technology is applicable, for example, to a television receiver capable of receiving a digital broadcast signal.

Techniques for improving media applications are described. In an example, a system presents content based on an execution of a media application that includes a first streaming protocol library. This execution includes streaming the content based on the first streaming protocol library. The system receives a user interaction with the media application indicating a request for a media player to present the content. The system receives, from the media application, content information about the content and selects a second streaming protocol library from a plurality of streaming protocol libraries of the media player. The second streaming protocol library corresponds to the first streaming protocol library. The system presents the content based on an execution of the media player and on the content information. This execution includes streaming the content based on the second streaming protocol library.

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.

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.

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 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.