Provided is a video decoding method including obtaining split information indicating whether a current block is to be split; and when the split information indicates that the current block is to be split, splitting the current block into at least two lower blocks, obtaining encoding order information indicating an encoding order of the at least two lower blocks of the current block from the bitstream, determining a decoding order of the at least two lower blocks based on the encoding order information, and decoding the at least two lower blocks according to the decoding order.

Methods of image compression are described. A stream of color image data is filtered with a prediction routine using a pixel neighborhood. The filtered stream of color image data is sorted with a block sorting routing. A version of the color image data is compressed based on the sorted and filtered stream of color image data.

Provided are a method and device for video coding, video decoding and storage medium. The video coding method includes: classifying video frames into independent frames and dependent frames, which comprise a first type of the dependent frames; generating region wise packing (RWP) coding configuration of each of the independent frames by coding parameters of the respective one of the independent frames, wherein the RWP coding configuration of the independent frames comprises the parameters to be unpacked to restore the video; and for each of the first type of the dependent frames, generating RWP coding configuration of the dependent frame by coding parameters of the dependent frame based on difference and dependency between the parameters of the dependent frame and the parameters of an independent frame used as a reference for the coding of the dependent frame.

Techniques and systems are provided for generating a video from texture images, and for reconstructing the texture images from the video. For example, a texture image can be divided into a number of tiles, and the number of tiles can be sorted into a sequence of ordered tiles. The sequence of ordered tiles can be provided to a video coder for generating a coded video. The number of tiles can be encoded based on the sequence of ordered tiles. The encoded video including the encoded sequence of ordered tiles can be decoded. At least a portion of the decoded video can include the number of tiles sorted into a sequence of ordered tiles. A data file associated with at least the portion of the decoded video can be used to reconstruct the texture image using the tiles.

An image decoding method according to the present invention can comprise the steps of: acquiring residual coefficients of a current block; dequantizing the residual coefficients; performing secondary inverse transformation on the dequantized residual coefficients; and performing primary inverse transformation on the performance result of the secondary inverse transformation. The secondary inverse transformation can be performed for a partial region of the current block.

An image decoding method according to the present invention can comprise the steps of: acquiring residual coefficients of a current block; dequantizing the residual coefficients; performing secondary inverse transformation on the dequantized residual coefficients; and performing primary inverse transformation on the performance result of the secondary inverse transformation. The secondary inverse transformation can be performed for a partial region of the current block.

A video coding system is provided that performs intra prediction in a mode using a neural network for block of only a set of specific block sizes. The signaling of this mode is designed to be efficient in terms of rate-distortion under this constraint. Different transformations of the context of a block and the neural network prediction of this block are introduced in order to use one single neural network for predicting blocks of several sizes, as well as the corresponding signaling. The neural network-based prediction mode considers both luminance blocks and chrominance blocks. The video coding system comprises encoder and decoder apparatuses, encoding, decoding and signal generation methods and a signal carrying information corresponding to the described coding mode.

A video coding system is provided that performs intra prediction in a mode using a neural network for block of only a set of specific block sizes. The signaling of this mode is designed to be efficient in terms of rate-distortion under this constraint. Different transformations of the context of a block and the neural network prediction of this block are introduced in order to use one single neural network for predicting blocks of several sizes, as well as the corresponding signaling. The neural network-based prediction mode considers both luminance blocks and chrominance blocks. The video coding system comprises encoder and decoder apparatuses, encoding, decoding and signal generation methods and a signal carrying information corresponding to the described coding mode.

A VVC-standard encoder and a VVC-standard decoder are provided, implementing a residual sign prediction method utilizing a sorting order of residual coefficients and an expanded region of a TB. As sign prediction accuracy is higher for larger transform coefficient levels, a VVC-standard encoder and a VVC-standard decoder sort transform coefficient signs of a TB in a one-dimensional array, based on corresponding QIdx values instead of the residual coefficient level value. The first n signs according to corresponding QIdx values, ordered from largest to smallest, are predicted using a residual sign prediction method, and the rest of the signs are signaled by EP bins. A sign prediction area is also extended, without limitation to an upper-left 4×4 region within the transform block, but to a region up to 32×32 in size; a VVC-standard encoder signals the maximum dimensions of the region to a VVC-standard decoder in syntax structures of the block.

A VVC-standard encoder and a VVC-standard decoder are provided, implementing a residual sign prediction method utilizing a sorting order of residual coefficients and an expanded region of a TB. As sign prediction accuracy is higher for larger transform coefficient levels, a VVC-standard encoder and a VVC-standard decoder sort transform coefficient signs of a TB in a one-dimensional array, based on corresponding QIdx values instead of the residual coefficient level value. The first n signs according to corresponding QIdx values, ordered from largest to smallest, are predicted using a residual sign prediction method, and the rest of the signs are signaled by EP bins. A sign prediction area is also extended, without limitation to an upper-left 4×4 region within the transform block, but to a region up to 32×32 in size; a VVC-standard encoder signals the maximum dimensions of the region to a VVC-standard decoder in syntax structures of the block.