Methods, systems, and devices for luma mapping with chroma scaling for video and image coding are disclosed. An example method of video processing includes performing, for a current region comprising a luma block, a first chroma block, and a second chroma block, a conversion between the current region of a video and a bitstream representation of the video according to a rule that specifies an order in which, during decoding, the first chroma block and the second chroma block are processed based on mapped sample values of the luma block.

According to the document of the present document, information/parameters associated with an entry point can be signaled on the basis of a WPP-associated entry point offset-present flag and a tile-associated entry point offset-present flag, and the effect of increasing coding efficiency, which is the primary purpose of parallel processing in encoding/decoding, can be derived therefrom.

Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, an apparatus for video decoding includes processing circuitry. The processing circuitry determines that a non-interleaved separate tree structure is used for coding different color components of coding tree units (CTUs) in a bitstream. The processing circuitry decodes a first color component of a plurality of CTUs from a first portion of the bitstream, and decodes a second color component of the plurality of CTUs from a second portion of the bitstream, the second portion is located after the first portion in the bitstream.

A signal-processing apparatus includes an instruction-parallel processor, a first data-parallel processor, a second data-parallel processor, and a motion detection unit, a de-blocking filtering unit and a variable-length coding/decoding unit which are dedicated hardware. With this structure, during signal processing of an image compression and decompression algorithm needing a large amount of processing, the load is distributed between software and hardware, so that the signal-processing apparatus can realize high processing capability and flexibility.

A signal-processing apparatus includes an instruction-parallel processor, a first data-parallel processor, a second data-parallel processor, and a motion detection unit, a de-blocking filtering unit and a variable-length coding/decoding unit which are dedicated hardware. With this structure, during signal processing of an image compression and decompression algorithm needing a large amount of processing, the load is distributed between software and hardware, so that the signal-processing apparatus can realize high processing capability and flexibility.

A computer-implemented method is provided. The method includes executing a video game on a server unit and said server unit producing uncompressed interactive video. The method includes processing the uncompressed interactive video at a compression unit associated with the server unit. The compression unit outputting compressed interactive video, and the server unit and the compression unit being located at a data center. The method includes streaming the compressed interactive video over a packetized network from the data center to one or more client devices associated with one or more users. Each client device is located geographically remote to the data center, and the server is configured to receive input to drive gameplay of the video game by said one or more client devices. The compressed interactive video is configured for decompression and presentation at said one or more client devices. The method includes receiving, by the server, updates from said one or more clients devices regarding a quality of said uncompressed interactive video that is received from said streaming. The method includes adjusting automatically, by the compression unit, a rate of compression provided to one or more of said client devices based on said updates received regarding the quality of said uncompressed interactive video for the video game.

A computer-implemented method is provided. The method includes executing a video game on a server unit and said server unit producing uncompressed interactive video. The method includes processing the uncompressed interactive video at a compression unit associated with the server unit. The compression unit outputting compressed interactive video, and the server unit and the compression unit being located at a data center. The method includes streaming the compressed interactive video over a packetized network from the data center to one or more client devices associated with one or more users. Each client device is located geographically remote to the data center, and the server is configured to receive input to drive gameplay of the video game by said one or more client devices. The compressed interactive video is configured for decompression and presentation at said one or more client devices. The method includes receiving, by the server, updates from said one or more clients devices regarding a quality of said uncompressed interactive video that is received from said streaming. The method includes adjusting automatically, by the compression unit, a rate of compression provided to one or more of said client devices based on said updates received regarding the quality of said uncompressed interactive video for the video game.

A load balancing method for video decoding. The load balancing includes first determining which hardware devices are suitable for the new decoding process, and determining the current load of each of the suitable hardware devices. From the suitable devices potential devices are selected having a current load less than a threshold and overloaded devices are selected having a load greater than or equal to the threshold. If there are no suitable devices, then the decoding process is implemented by software decoding. If the list of potential hardware devices includes only one potential hardware device, then the decoding process is implemented on the hardware device. If the list of potential hardware devices includes more than one potential hardware device, then it is determined how many decoding processes are currently running on each potential hardware device, and the new decoding process is implemented on the potential hardware device having the fewest processes.

Video decoding innovations for multithreading implementations and graphics processor unit (“GPU”) implementations are described. For example, for multithreaded decoding, a decoder uses innovations in the areas of layered data structures, picture extent discovery, a picture command queue, and/or task scheduling for multithreading. Or, for a GPU implementation, a decoder uses innovations in the areas of inverse transforms, inverse quantization, fractional interpolation, intra prediction using waves, loop filtering using waves, memory usage and/or performance-adaptive loop filtering. Innovations are also described in the areas of error handling and recovery, determination of neighbor availability for operations such as context modeling and intra prediction, CABAC decoding, computation of collocated information for direct mode macroblocks in B slices, reduction of memory consumption, implementation of trick play modes, and picture dropping for quality adjustment.

Video decoding innovations for multithreading implementations and graphics processor unit (“GPU”) implementations are described. For example, for multithreaded decoding, a decoder uses innovations in the areas of layered data structures, picture extent discovery, a picture command queue, and/or task scheduling for multithreading. Or, for a GPU implementation, a decoder uses innovations in the areas of inverse transforms, inverse quantization, fractional interpolation, intra prediction using waves, loop filtering using waves, memory usage and/or performance-adaptive loop filtering. Innovations are also described in the areas of error handling and recovery, determination of neighbor availability for operations such as context modeling and intra prediction, CABAC decoding, computation of collocated information for direct mode macroblocks in B slices, reduction of memory consumption, implementation of trick play modes, and picture dropping for quality adjustment.