An apparatus configured to encode video data comprising a memory configured to store a block of video data and one or more processors in communication with the memory. The one or more processors are configured to determine a coding mode for encoding the block of video data from among one or more coding modes, wherein the coding mode is determined based on a maximum syntax element size, encode the block of video data in a plurality of substreams according to the determined coding mode to create a plurality of encoded substreams of video data, store the plurality of encoded substreams of video data in respective balance first-in, first-out (FIFO) buffers, and multiplex the plurality of encoded substreams in a bitstream for transmitting to a video decoder.

An apparatus configured to encode video data comprising a memory configured to store a block of video data and one or more processors in communication with the memory. The one or more processors are configured to determine a coding mode for encoding the block of video data from among one or more coding modes, wherein the coding mode is determined based on a maximum syntax element size, encode the block of video data in a plurality of substreams according to the determined coding mode to create a plurality of encoded substreams of video data, store the plurality of encoded substreams of video data in respective balance first-in, first-out (FIFO) buffers, and multiplex the plurality of encoded substreams in a bitstream for transmitting to a video decoder.

Various schemes pertaining to video coding parallelization techniques are described. An apparatus receives video data. The apparatus subsequently calculates a plurality of figures of merits (FOMs), each of the FOM representing how well a particular coding tool may perform in encoding the video data. The apparatus further determines a coding tool that may be suitable for encoding the video data by comparing the FOMs. In determining the coding tool, the apparatus utilizes time-interleaving techniques to parallelly process the video data. The video data may include an array of coding blocks, and the apparatus may receive the video data using a snake-like processing order scanning through the array of coding blocks.

One or more computing devices, systems, and/or methods for video encoding are provided. For example, a video file may be segmented into at least a first portion and a second portion. The first portion may be analyzed to determine that the first portion is associated with a first level of complexity, and the second portion may be analyzed to determine that the second portion is associated with a second level of complexity. A first bitrate associated with the first level of complexity may be determined, and a second bitrate associated with the second level of complexity may be determined. The first portion may be encoded at the first bitrate to generate a first encoded portion, and the second portion may be encoded at the second bitrate to generate a second encoded portion. The first encoded portion and the second encoded portion may be assembled to generate an optimized video file.

One or more computing devices, systems, and/or methods for video encoding are provided. For example, a video file may be segmented into at least a first portion and a second portion. The first portion may be analyzed to determine that the first portion is associated with a first level of complexity, and the second portion may be analyzed to determine that the second portion is associated with a second level of complexity. A first bitrate associated with the first level of complexity may be determined, and a second bitrate associated with the second level of complexity may be determined. The first portion may be encoded at the first bitrate to generate a first encoded portion, and the second portion may be encoded at the second bitrate to generate a second encoded portion. The first encoded portion and the second encoded portion may be assembled to generate an optimized video file.

At least a first goal is assigned to a media asset including content and metadata. For at least two of a plurality of processes of a workflow engine relevant to said at least first goal, said media asset is simultaneously polled from time-to-time to determine whether prerequisites of said at least two of said plurality of processes have been met.

For at least one of said plurality of processes of said workflow engine for which said prerequisites have been met, said media asset is acted on to achieve at least a portion of said at least first goal.

Transform kernel candidates including a vertical transform type associated with a vertical motion and a horizontal transform type associated with a horizontal motion can be encoded or decoded. During a decoding operation, a probability model for decoding encoded bitstream video data associated with a transform kernel candidate for an encoded transform block is identified based on one or both of a first transform kernel candidate selected for an above neighbor transform block of the encoded transform block or a second transform kernel candidate selected for a left neighbor transform block of the encoded transform block. The encoded bitstream video data associated with the transform kernel candidate is decoded using the probability model.

During a video encoding or decoding process, a predicted prediction block is generated for a CU. The CU may have two or more prediction units (PUs). A computing device selects a neighbor region size. After the computing device selects the neighbor region size, samples in a transition zone of the prediction block are identified. Samples associated with a first PU are in the transition zone if neighbor regions that contain the samples also contain samples associated with a second PU. Samples associated with the second PU may be in the transition zone if neighbor regions that contain the samples also contain samples associated with the first PU. The neighbor regions have the selected neighbor region size. A smoothing operation is then performed on the samples in the transition zone.

During a video encoding or decoding process, a predicted prediction block is generated for a CU. The CU may have two or more prediction units (PUs). A computing device selects a neighbor region size. After the computing device selects the neighbor region size, samples in a transition zone of the prediction block are identified. Samples associated with a first PU are in the transition zone if neighbor regions that contain the samples also contain samples associated with a second PU. Samples associated with the second PU may be in the transition zone if neighbor regions that contain the samples also contain samples associated with the first PU. The neighbor regions have the selected neighbor region size. A smoothing operation is then performed on the samples in the transition zone.

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.