Devices, systems and methods for lossless coding for visual media coding are described. An exemplary method for video processing includes determining, based on a current video block of a video satisfying a dimension constraint, that coding modes are enabled for representing the current video block in a bitstream representation, where the dimension constraint states that a same set of allowed dimensions for the current video block is disabled for the coding modes, and where, for an encoding operation, the coding modes represent the current video block in the bitstream representation without using a transform operation, or where, for a decoding operation, the coding modes are used to obtain the current video block without using an inverse transform operation; and performing a conversion between the current video block and the bitstream representation of the video based on one of the coding modes.

A system may receive an input stream for a coding operation. The system may determine available coding modes for the coding operation. The system may include coding selection logic that may determine a coding mode in response to the based on the available selection of coding modes. The coding selection logic may use the selected coding mode to determine a coding strategy. The selection logic may send an indication of the selected coding mode and coding strategy to coding logic to support execution of the coding operation, which may use the selected coding mode and coding strategy.

A system may receive an input stream for a coding operation. The system may determine available coding modes for the coding operation. The system may include coding selection logic that may determine a coding mode in response to the based on the available selection of coding modes. The coding selection logic may use the selected coding mode to determine a coding strategy. The selection logic may send an indication of the selected coding mode and coding strategy to coding logic to support execution of the coding operation, which may use the selected coding mode and coding strategy.

Systems, methods, and instrumentalities are disclosed for encoder and/or decoder optimization using a multi-threaded parallel processing framework. An encoding and/or decoding device may receive a video sequence that includes a plurality of first-temporal level pictures associated with a first temporal level and a plurality of second-temporal level pictures associated with a second temporal level. The encoding and/or decoding device may allocate a first number of parallel processing threads for encoding and/or decoding the first-temporal level pictures and a second number of parallel processing threads for encoding and/or decoding the second-temporal level pictures. The device may perform this allocation based on temporal level priority, for example. The encoding and/or decoding device may encode and/or decode the first-temporal level pictures and the second-temporal level pictures. This encoding and/or decoding may be based on the allocation of the first number of parallel processing threads and the second number of parallel processing threads.

Systems, methods, and instrumentalities are disclosed for encoder and/or decoder optimization using a multi-threaded parallel processing framework. An encoding and/or decoding device may receive a video sequence that includes a plurality of first-temporal level pictures associated with a first temporal level and a plurality of second-temporal level pictures associated with a second temporal level. The encoding and/or decoding device may allocate a first number of parallel processing threads for encoding and/or decoding the first-temporal level pictures and a second number of parallel processing threads for encoding and/or decoding the second-temporal level pictures. The device may perform this allocation based on temporal level priority, for example. The encoding and/or decoding device may encode and/or decode the first-temporal level pictures and the second-temporal level pictures. This encoding and/or decoding may be based on the allocation of the first number of parallel processing threads and the second number of parallel processing threads.

A system and method provides transcoding a video in parallel by multiple transcoders based on a measure of video coding complexity (VCC). The system has a video pre-processing module, a master transcoder, a transcoding controller and multiple transcoders. The video pre-processing module transcodes a source video into an intermediate video. The master transcoder partitions the intermediate video into multiple transcoding units, where a transcoding unit identifies a portion of data of the intermediate video for transcoding. The master transcoder further generates a transcoding request for each transcoding unit. The transcoding controller distributes the transcoding units to the multiple transcoders, which transcode the data of the transcoding units in parallel into transcoded data.

A system and method provides transcoding a video in parallel by multiple transcoders based on a measure of video coding complexity (VCC). The system has a video pre-processing module, a master transcoder, a transcoding controller and multiple transcoders. The video pre-processing module transcodes a source video into an intermediate video. The master transcoder partitions the intermediate video into multiple transcoding units, where a transcoding unit identifies a portion of data of the intermediate video for transcoding. The master transcoder further generates a transcoding request for each transcoding unit. The transcoding controller distributes the transcoding units to the multiple transcoders, which transcode the data of the transcoding units in parallel into transcoded data.

A motion compensation module can be used in a video encoder for encoding a video input signal that includes a sequence of images that are segmented into a plurality of macroblocks. The motion compensation module includes a motion search module that generates a motion search motion vector for a plurality of subblocks for a plurality of partitionings of a macroblock of a plurality of macroblocks and generates a selected group of the plurality of partitionings based on a group selection signal. A motion refinement module—generates a refined motion vector for the plurality of subblocks for the selected group of the plurality of partitionings of the macroblock of the plurality of macroblocks, based on the motion search motion vector for each of the plurality of subblocks of the macroblock of the plurality of macroblocks.

A motion compensation module can be used in a video encoder for encoding a video input signal that includes a sequence of images that are segmented into a plurality of macroblocks. The motion compensation module includes a motion search module that generates a motion search motion vector for a plurality of subblocks for a plurality of partitionings of a macroblock of a plurality of macroblocks and generates a selected group of the plurality of partitionings based on a group selection signal. A motion refinement module—generates a refined motion vector for the plurality of subblocks for the selected group of the plurality of partitionings of the macroblock of the plurality of macroblocks, based on the motion search motion vector for each of the plurality of subblocks of the macroblock of the plurality of macroblocks.

An image processing apparatus included in a vehicle comprises: a division section that is configured to divide into a plurality of areas, a captured image sequentially captured by an imaging device that captures images around the vehicle; an importance set section that is configured to set an importance level for each of the areas; and a compression section that is configured to compress the captured image for each of the areas.