A video decoding device includes a demultiplexing unit which demultiplexes a video bitstream including video data of an encoded slice, first Supplemental-Enhancement-Information having information indicating segments where a refresh has completed in a current picture, and second Supplemental-Enhancement-Information having information indicating a synchronization starting picture and a synchronization completed picture, an extracting unit which extracts the information indicating segments where a refresh has completed in a current picture from a message which is part of the demultiplexed Supplemental-Enhancement-Information; and a video decoding unit which decodes image data from the demultiplexed video bitstream by using at least inter prediction, wherein the synchronization starting picture is a leading picture within a refreshing period, and the synchronization completed picture is the end position of the refreshing period.

The disclosure regards cross-component prediction and methods for deriving of a linear model for obtaining a first-component sample for a first-component block from an associated reconstructed second-component sample of a second-component block in the same frame, the method comprising determining the parameters of a linear equation representing a straight line passing through two points, each point being defined by two variables, the first variable corresponding to a second-component sample value, the second variable corresponding to a first-component sample value, based on reconstructed samples of both the first-component and the second-component; and deriving the linear model defined by the straight line parameters; wherein said determining the parameters uses integer arithmetic.

A video processing method is provided to include performing a conversion between a coded representation of a video comprising one or more video regions and the video, wherein the coded representation includes a first side information at a first level, and wherein a second side information at a second level is derived from the first side information such that the second side information provides parameters for a video unit coded with in-loop reshaping (ILR) in which a reconstruction of the video unit of a video region is based on a representation of a video unit in a first domain and a second domain and/or scaling chroma residue of a chroma video unit.

The present disclosure provides systems and methods for performing residual coding of video data. According to certain disclosed embodiments, the methods include: receiving control information for coding a video sequence; and determining, based on the control information, a coding method for coding a prediction residual signal of a coding block in the video sequence. The coding method is one of a transform residual coding and a transform-skip residual coding.

The present disclosure provides systems and methods for performing residual coding of video data. According to certain disclosed embodiments, the methods include: receiving control information for coding a video sequence; and determining, based on the control information, a coding method for coding a prediction residual signal of a coding block in the video sequence. The coding method is one of a transform residual coding and a transform-skip residual coding.

Video coding/decoding can improve the uniformity of pixel strings and provide for increased coding and decoding efficiency. String length information of a current string from a bit stream is decoded. Based on the string length information and a determined string length resolution (SLR) of the current string a string length of the current string is determined. By using the SLR as a basis for dividing and decoding the pixel string, the length of the pixel string in a coding block can be limited to a multiple of the SLR, which improves uniformity of pixel strings, so that a decoder end can perform decoding with memory alignment, thereby improving decoding efficiency of the pixel strings.

Video coding/decoding can improve the uniformity of pixel strings and provide for increased coding and decoding efficiency. String length information of a current string from a bit stream is decoded. Based on the string length information and a determined string length resolution (SLR) of the current string a string length of the current string is determined. By using the SLR as a basis for dividing and decoding the pixel string, the length of the pixel string in a coding block can be limited to a multiple of the SLR, which improves uniformity of pixel strings, so that a decoder end can perform decoding with memory alignment, thereby improving decoding efficiency of the pixel strings.

A set of tensor-product B-Spline (TPB) basis functions is determined. A set of selected TPB prediction parameters to be used with the set of TPB basis functions for generating predicted image data in mapped images from source image data in source images of a source color grade is generated. The set of selected TPB prediction parameters is generated by minimizing differences between the predicted image data in the mapped images and reference image data in reference images of a reference color grade. The reference images correspond to the source images and depict same visual content as depicted by the source images. The set of selected TPB prediction parameters is encoded in a video signal as a part of image metadata along with the source image data in the source images. The mapped images are caused to be reconstructed and rendered with a recipient device of the video signal.

New intra planar modes are introduced for predicting digital video data. As part of the new intra planar modes, various methods are offered for predicting a first sample within a prediction unit, where the first sample is needed for referencing to when processing the new intra planar modes. And once the first sample is successfully predicted, the new intra planar modes are able to predict a sample of video data within the prediction unit by processing a bi-linear interpolation of four previously reconstructed reference samples.

New intra planar modes are introduced for predicting digital video data. As part of the new intra planar modes, various methods are offered for predicting a first sample within a prediction unit, where the first sample is needed for referencing to when processing the new intra planar modes. And once the first sample is successfully predicted, the new intra planar modes are able to predict a sample of video data within the prediction unit by processing a bi-linear interpolation of four previously reconstructed reference samples.