Abstract: Examples of the present disclosure relate to content delivery using distributed ledger and AI-based transcoding technologies. In examples, content is received by a content distribution network (CDN) from a content source. The content may be in a lower-quality or different format than is distributed via the CDN. Accordingly, a transcoding model is identified and used to transcode the content. Multiple transcoding models may be used for different content parts to adapt to changing content types (e.g., a sports subpart, an advertising subpart, etc.). Transcoding may occur at edge nodes, such that the original content is transmitted within the CDN, thereby conserving resources. Additionally, transcoded content may be cached, such that the content need not be transcoded in response to every request.

Abstract: In various examples, the decoding and upscaling capabilities of a client device are analyzed to determine encoding parameters and operations used by a content streaming server to generate encoded video streams. The quality of the upscaled content of the client device may be monitored by the streaming servers such that the encoding parameters may be updated based on the monitored quality. In this way, the encoding operations of one or more streaming servers may be more effectively matched to the decoding and upscaling abilities of one or more client devise such that an increased number of client devices may be served by the streaming servers.

Abstract: The present disclosure relates to an image decoding device capable of recognizing performance necessary for decoding more accurately and a method. Coded data of image data and decoding load definition information for defining a magnitude of a load of a decoding process of a partial region of an image of the image data are acquired; decoding of the acquired coded data is controlled based on the acquired decoding load definition information; and the acquired coded data is decoded according to the controlling. The present disclosure can be applied to an information processing device such as an image coding device that scalably codes image data or an image decoding device that decodes encoded data obtained by scalably coding image data.

Abstract: Disclosed decoding method of the intra prediction mode comprises the steps of: determining whether an intra prediction mode of a present prediction unit is the same as a first candidate intra prediction mode or as a second candidate intra prediction mode on the basis of 1-bit information; and determining, among said first candidate intra prediction mode and said second candidate intra prediction mode, which candidate intra prediction mode is the same as the intra prediction mode of said present prediction unit on the basis of additional 1-bit information, if the intra prediction mode of the present prediction unit is the same as at least either the first candidate intra prediction mode or the second candidate intra prediction mode, and decoding the intra prediction mode of the present prediction unit.

Abstract: A video transmission system includes a transceiver module that transmits a video signal to a remote device over at least one communications channel wherein the video signal is transmitted as at least one separate video layer stream chosen from, an independent video layer stream and at least one dependent video layer streams that require the independent video layer for decoding. A control module determines at least one channel characteristic of the at least one channel and chooses the at least one separate video layer stream based on the at least one channel characteristic of the at least one channel.