Abstract: A video coder may be configured to code a plurality of syntax elements that indicate an absolute value of a transform coefficients in a block, wherein the plurality of syntax elements include a significance flag and four or more greater_than_N flags. The video coder may further determine first respective contexts for each syntax element in a first set of the plurality of syntax elements from respective context tables for each syntax element in the first set of the plurality of syntax elements, and determine second respective contexts for each syntax element in a second set of the plurality of syntax elements from a shared context table.

Abstract: Techniques are described herein for processing video data using a neural network system. For instance, a process can include generating, by a first convolutional layer of an encoder sub-network of the neural network system, output values associated with a luminance channel of a frame. The process can include generating, by a second convolutional layer of the encoder sub-network, output values associated with at least one chrominance channel of the frame. The process can include generating, by a third convolutional layer based on the output values associated with the luminance channel of the frame and the output values associated with the at least one chrominance channel of the frame, a combined representation of the frame. The process can further include generating encoded video data based on the combined representation of the frame.

Abstract: Example devices and techniques are described. An example device includes one or more memories configured to store video data and one or more processors configured to receive, in a bitstream, one or more first messages each specifying at least one respective film grain characteristic applicable to first video data of the video data and each corresponding to a different film grain synthesis technique. The one or more processors are configured to determine that a first film grain synthesis technique specified by a first message of the one or more first messages corresponds to a device supported film grain synthesis technique. The one or more processors are configured to apply, based on a determination that the first film grain synthesis technique corresponds to a device supported film grain synthesis technique, the device supported film grain synthesis technique to the first video data based on contents of the first message.

Abstract: An example device for decoding video data includes a processing system comprising one or more processors implemented in circuitry and configured to: determine that a first temporal layer identifier of a first picture of the video data is included in a first set of temporal layers; in response to the first temporal layer identifier being included in the first set of temporal layers, decode blocks of the first picture on a block by block basis; determine that a second temporal layer identifier of a second picture of the video data is included in a second set of temporal layers, the second set of temporal layers being higher than the first set of temporal layers; and in response to the second temporal layer identifier being included in the second set of temporal layers, execute a neural network-based video decoder to decode the second picture.

Abstract: A video coder may determine a quantization parameter (QP) value for a block of video data, determine a residual coding method from a plurality of residual coding methods based on the QP value, wherein the plurality of residual coding methods include transform skip (TS) residual coding and regular residual coding, and code a residual of the block of video data using the determined residual coding method.

Abstract: A method of processing video data includes determining a quantization level for a coefficient of a current block from a plurality of quantization levels; determining an offset value based on the quantization level, wherein the offset value is a first offset value based on the quantization level being a first quantization level or a second, different offset value based on the quantization level being a second quantization level; determining a quantization parameter or an inverse-quantization parameter for the coefficient based on the determined offset value; and as part of encoding or decoding the current block, performing one of quantization or inverse-quantization for the coefficient based on the determined quantization parameter or the determined inverse-quantization parameter.

Abstract: An example device includes memory and one or more processors implemented in circuitry and communicatively coupled to the memory. The one or more processors are configured to receive a first slice header syntax element for a slice of the video data and determine a first value for the first slice header syntax element, the first value being indicative of whether dependent quantization is enabled. The one or more processors are configured to receive a second slice header syntax element for the slice of the video data and determine a second value for the second slice header syntax element, the second value being indicative of whether sign data hiding is enabled. The one or more processors are configured to determine whether transform skip residual coding is disabled for the slice based on the first value and the second value and decode the slice based on the determinations.

Abstract: A device for encoding video data includes a memory configured to store video data, and a video encoder implemented in circuitry and configured to encode a future picture of the video data having a first display order position, the future picture being included in an intra period (IP) of the video data, the IP comprising a plurality of groups of pictures (GOPs), and after encoding the future picture, encode a picture of an ordinal first GOP of the plurality of GOPs using the future picture as a reference picture, each picture of the ordinal first GOP having display order positions earlier than the first display order position. Encoding the future picture in this manner may result in encoding performance improvements with minimal increases in encoding and decoding complexity.

Abstract: An example device for coding (encoding and decoding) video data includes: a memory configured to store video data; and a processing system comprising one or more processors implemented in circuitry, the processing system being configured to: determine a context for context-based coding a current transform coefficient of a current block of video data according to previously coded transform coefficients, the previously coded transform coefficients being a sequence of immediately preceding transform coefficients to the current transform coefficient in scan order; and context-based code the current transform coefficient using the determined context.

Abstract: A method of decoding video data includes receiving a block of video data encoded using an intra block copy (IBC) mode or an intra template matching prediction (TMP) mode, determining a pair of transforms, from among a plurality of pairs of transforms, for decoding the block using a multiple transform selection (MTS) process, and decoding the block using the pair of transforms.

Abstract: A video decoder may apply a first inverse residual modification function to first decoded modified chroma residual data to generate first inverse modified chroma residual data. Additionally, the video decoder may apply a second inverse residual modification function to second decoded modified chroma residual data to generate second inverse modified chroma residual data. The first decoded modified chroma residual data is associated with a first chroma component and the second decoded modified chroma residual data is associated with a second chroma component. The video decoder may reconstruct a block of video data based on the first inverse modified chroma residual data and the second inverse modified chroma residual data.

Abstract: A device for encoding video data can be configured to encode a set of input frames of the video data with an image analysis neural network to generate a corresponding set of output frames, wherein the set of output frames includes a first output frame and additional output frames, wherein the first output frame temporally precedes the additional output frames; determine a modification to the first output frame that results in an optimized amount of distortion between the set of input frames and decoded versions of the corresponding set of output frames; update the first output frame based on the determined modification; and output a bitstream that includes the updated first output frame.

Abstract: A device includes one or more processors configured to obtain encoded data associated with one or more motion values. The one or more processors are also configured to obtain conditional input of a compression network, wherein the conditional input is based on one or more first predicted motion values. The one or more processors are further configured to process, using the compression network, the encoded data and the conditional input to generate one or more second predicted motion values.

Abstract: Various embodiments may provide methods, systems, and devices for supporting application level discovery of Radio Access Network (RAN) statistics and/or events. Various embodiments may provide methods, systems, and devices for supporting application level signaling of Quality of Service (QoS) requirements.

Abstract: A video decoder may be configured to determine a reference block for a current block of a current picture of video data, wherein the reference block is in the current picture; determine a prediction block based on the reference block; determine whether to apply filtering to the prediction block; based on determining that the filtering is to be applied to the prediction block, compare a template of the reference block to a template of the current block and filter the prediction block based on the comparing of the template of the reference block to the template of the current block to determine a filtered prediction block; decode the current block based on the filtered prediction block to determine a decoded version of the current block; and output a decoded picture of the video data comprising the decoded version of the current block.

Abstract: Systems and techniques are described for processing video data. For instance, a process can include processing a frame of video data using a first layer of a neural network-based video encoder, the neural network-based video encoder performing at least one quantization step. The process can further include applying an exponential-family prior to an output of the first layer of the neural network-based video encoder to generate a first layer output evaluation, generating a total loss value for the neural network-based video encoder based on a sum of a loss value for the neural network-based video encoder and the first layer output evaluation, and training the neural network-based video encoder based on the total loss value.

Abstract: Systems and techniques are described herein for processing video data. In some aspects, a method can include obtain, by a machine learning system, input video data. The input video data includes one or more luminance components for a current frame. The method can include determining, by the machine learning system, motion information for the luminance component(s) of the current frame and motion information for one or more chrominance components of the current frame using the luminance component(s) for the current frame. In some cases, the method can include determining the motion information for the luminance component(s) based on the luma component(s) of the current frame and at least one reconstructed luma component of a previous frame. In some cases, the method can further include determining the motion information for the chrominance component(s) of the current frame using the motion information determined for the luminance component(s) of the current frame.

Abstract: An example device for retrieving media data includes a memory; and a processing system comprising one or more processors implemented in circuitry, the processing system being configured to: receive a packet including a packet header and a payload including at least a portion of a frame of video data, the packet header being separate from the payload; extract, from the packet header, a video frame identifier for the frame of video data; and process the payload according to the video frame identifier.

Abstract: An example method of decoding video data that includes receiving one or more syntax elements of the video data indicative of whether a first type of coding scheme or a second type of coding scheme is applied to residual values of a block of video data coded with transform skip, wherein the residual values are indicative of a difference between the block and a prediction block, and wherein, in transform skip, the residual values are not transformed from a sample domain to a frequency domain. The method includes determining a type of coding scheme to apply to the residual values based on the one or more syntax elements, determining the residual values based on the determined type of coding scheme, and reconstructing the block based on the determined residual values and the prediction block.

Abstract: An example device for decoding video data includes a memory configured to store video data; and a processing system comprising one or more processors implemented in circuitry, the processing system being configured to: inverse transform a block of transform coefficients of a block of the video data using an inverse non-separable primary transform (NSPT), without using an inverse separable transform, to reconstruct a residual block of the block of the video data; and decode the block using the residual block.