A method for video processing is described. The method may include making a decision, for a conversion between a current video block of a video picture of a video and a coded representation of the video, regarding a size of a reference region of the video picture from which reference samples are used for predicting the current video block, based on a size of a virtual pipeline data unit (VPDU), a size of a coding tree block (CTB), or a size of a coding tree unit (CTU); and performing the conversion based on the decision.

An electronic apparatus performs a method of decoding video data. The method comprises: receiving, from bitstream, a plurality of syntax elements associated with a coding unit, wherein the plurality of syntax elements indicate a size of the coding unit and a coding tree type of the coding unit; determining a minimum palette mode block size for the coding unit in accordance with the coding tree type of the coding unit; in accordance with a determination that the size of the coding unit is greater than the minimum palette mode block size: receiving, from the bitstream, a palette mode enable flag associated with the coding unit; and decoding, from the bitstream, the coding unit in accordance with the palette mode enable flag.

According to one embodiment of the present document, an in-loop filtering procedure in an image/video coding procedure may comprise a cross-component adaptive loop filtering procedure. CCALF, according to the present embodiment, can increase the accuracy of in-loop filtering.

This disclosure relates to video coding and more particularly to techniques for signaling temporal sub-layer information for coded video. According to an aspect of an invention, a range of a value of a third syntax element in a sequence parameter set is determined based on whether the sequence parameter set refers to a video parameter set, wherein the third syntax element specifies a maximum number of temporal sub-layers that is present in each coded video sequence referring to the sequence parameter set.

Disclosed is a method for obtaining information on sub-units partitioned from a picture. The method comprises: decoding, from a bitstream, CTU size information indicating the size of coding tree units (CTUs) within the picture; decoding, from the bitstream, sub-picture partition information expressing sub-pictures within the picture in units of the CTU sizes; decoding, from the bitstream, partition information related to partition of the picture into one or more tiles; and decoding, from the bitstream, partition information related to partition of the picture into one or more slices.

A method for processing a video includes performing a determination, by a processor, that a first video block is partitioned to include a first prediction portion that is non-rectangular and non-square; adding a first motion vector (MV) prediction candidate associated with the first prediction portion to a motion candidate list associated with the first video block, wherein the first MV prediction candidate is derived from a sub-block MV prediction candidate; and performing further processing of the first video block using the motion candidate list.

A device may be configured to general constraint information according to one or more of the techniques described herein.

Disclosed herein are a method, an apparatus and a storage medium for transform information encoding/decoding. A transform includes a primary transform and a secondary transform. A primary transform method and a secondary transform method are selected from among multiple different methods. A transform is performed on a target block based on a selected primary transform method and a selected secondary transform method. A primary transform method and a secondary transform method applied to the target block may be signaled using transform information such as a primary transform method index and a secondary transform method index.

An image encoding/decoding method and apparatus are provided. An image decoding method may comprise obtaining, from a bitstream, a feature set extracted from an input image using an artificial neural network-based feature extraction method, first information on importance of each of a plurality of channels included in the feature set and second information on a quantization method of the feature set, decoding the feature set, the first information and the second information, and dequantizing the decoded feature set based on the decoded first information and the decoded second information. The second information may comprise the number of quantization bits of each of the plurality of channels, and the number of quantization bits may be determined based on the importance of each of the plurality of channels.

A method, decoder apparatus, and computer programs are provided. A bit stream having a video block encoded with a multiple transform selection (MTS) index is received. The MTS index is parsed to determine a value of it. Responsive to the MTS index value being a predetermined value (or one of a predetermined set of indices), a LFNST index is parsed from the bit stream to determine a value of it, the value providing an indication whether a LFNST transform set is to be used in decoding the video block. Responsive to the MTS index value not being the predetermined value (or one of the set of indices), the value of the LFNST index is set to a default value indicating no LFNST transform is to be used in the decoding. The video block is decoded based on the values of the MTS index and the LFNST index.