An inter prediction method allows a variable coefficient deep learning model to adaptively learn characteristics of a video; transmits a variable coefficient deep learning model parameter generated from the learning from an image encoding device to an image decoding device; and refers to a virtual reference frame generated by the variable coefficient deep learning model.

An inter prediction method allows a variable coefficient deep learning model to adaptively learn characteristics of a video; transmits a variable coefficient deep learning model parameter generated from the learning from an image encoding device to an image decoding device; and refers to a virtual reference frame generated by the variable coefficient deep learning model.

Methods, apparatuses, and non-transitory computer-readable mediums are provided. A block vector of a current block that is to be coded in intra block copy (IBC) mode is determined. The block vector points to a first reference block of the current block in a current picture. An operation is performed on at least one component of the block vector based on the first reference block being outside a search range of the current block. The block vector is modified by the operation to point to a second reference block that is within the search range for the current block. The current block is encoded based on the modified block vector. The performing the operation includes performing a modulo operation on a y component of the block vector based on a size of a current coding tree unit (CTU) that includes the current block.

Processing methods for motion compensation, an encoder, and a decoder are provided. The method includes the following. Determine a search position constellation with a point pointed by an initial motion vector as a center point, where the search position constellation includes N directions, search for at least one search point by using at least one type of step lengths in the directions, where the at least one search point at least includes at least one search point in diagonal directions. Search for at least one search position from the search position constellation based on a preset range coverage rule, where the preset range coverage rule is to arrange search points in the directions for search. Obtain a new motion vector according to the at least one search position, and perform motion compensation based on the new motion vector to obtain a prediction value of a coding unit (CU).

A method of encoding video data by an electronic device is provided. The electronic device determines whether an affine enabled flag corresponding to one or more image frames included in the video data is true. The electronic device determines a maximum number of zero or more subblock-based merging motion vector prediction candidates corresponding to the one or more image frames when the affine enabled flag is true. The maximum number is in a number range of K to N, N being a first integer and K being a second integer less than N. The electronic device determines that a maximum index is in an index range of 0 to N-K and generated by subtracting the maximum number from N when the affine enabled flag is true. An index value of the maximum index is in an index range of 0 to N-1 when K is 1.

A method of encoding video data by an electronic device is provided. The electronic device determines whether an affine enabled flag corresponding to one or more image frames included in the video data is true. The electronic device determines a maximum number of zero or more subblock-based merging motion vector prediction candidates corresponding to the one or more image frames when the affine enabled flag is true. The maximum number is in a number range of K to N, N being a first integer and K being a second integer less than N. The electronic device determines that a maximum index is in an index range of 0 to N-K and generated by subtracting the maximum number from N when the affine enabled flag is true. An index value of the maximum index is in an index range of 0 to N-1 when K is 1.

This disclosure is directed to coding a multi-view signal, which includes processing a list of plurality of motion vector candidates associated with a coding block of a current picture in a dependent view of the multi-view signal. Such processing includes estimating a first motion vector based on a second motion vector associated with a reference block in a current picture of a reference view of the multi-view signal, the reference block corresponding to the coding block of the current picture in the dependent view. The first motion vector is added into the list, and an index is used that specifies at least one candidate from the list to be used for motion-compensated prediction. The coding block in the current picture is coded by performing the motion-compensated prediction based on the at least one candidate indicated by the index.

This disclosure is directed to coding a multi-view signal, which includes processing a list of plurality of motion vector candidates associated with a coding block of a current picture in a dependent view of the multi-view signal. Such processing includes estimating a first motion vector based on a second motion vector associated with a reference block in a current picture of a reference view of the multi-view signal, the reference block corresponding to the coding block of the current picture in the dependent view. The first motion vector is added into the list, and an index is used that specifies at least one candidate from the list to be used for motion-compensated prediction. The coding block in the current picture is coded by performing the motion-compensated prediction based on the at least one candidate indicated by the index.

The invention relates to a method for encoding, a method for decoding, an apparatus, computer program products, an encoder and a decoder for video information. The motion vector for a block in a video image is predicted from a set of motion vector prediction candidates determined based on previously-coded motion vectors. A motion vector prediction candidate is included in the set based on the location of the block associated with the first spatial motion vector prediction candidate and in comparison with motion vector prediction candidates already in the set.

Obtaining one or more motion vector predictor candidates includes: (a1) generating a motion vector predictor candidate, based on motion vectors of first adjacent blocks adjacent to a block to be processed in a first direction; and (a2) generating a motion vector predictor candidate, based on motion vectors of second adjacent blocks adjacent to the block to be processed in a second direction, and step (a2) includes: determining whether the first adjacent blocks include an inter-predicted block; and searching for a motion vector on which scaling processing can be performed from among the motion vectors of the second adjacent blocks when it is determined that the first adjacent blocks do not include an inter-predicted block, and executing, when the motion vector on which scaling processing can be performed is obtained in the search, scaling processing on the motion vector obtained in the search.