Systems and methods are described for video coding using affine motion models with adaptive precision. In an example, a block of video is encoded in a bitstream using an affine motion model, where the affine motion model is characterized by at least two motion vectors. A precision is selected for each of the motion vectors, and the selected precisions are signaled in the bitstream. In some embodiments, the precisions are signaled by including in the bitstream information that identifies one of a plurality of elements in a selected predetermined precision set. The identified element indicates the precision of each of the motion vectors that characterize the affine motion model. In some embodiments, the precision set to be used is signaled expressly in the bitstream; in other embodiments, the precision set may be inferred, e.g., from the block size, block shape or temporal layer.

Disclosed are methods and apparatuses for image data encoding/decoding. A method for decoding a 360-degree image includes the steps of: receiving a bitstream obtained by encoding a 360-degree image; generating a prediction image by making reference to syntax information obtained from the received bitstream; adding the generated prediction image to a residual image obtained by dequantizing and inverse-transforming the bitstream, so as to obtain a decoded image; and reconstructing the decoded image into a 360-degree image according to a projection format. Therefore, the performance of image data compression can be improved.

Disclosed are methods and apparatuses for image data encoding/decoding. A method for decoding a 360-degree image includes the steps of: receiving a bitstream obtained by encoding a 360-degree image; generating a prediction image by making reference to syntax information obtained from the received bitstream; adding the generated prediction image to a residual image obtained by dequantizing and inverse-transforming the bitstream, so as to obtain a decoded image; and reconstructing the decoded image into a 360-degree image according to a projection format. Therefore, the performance of image data compression can be improved.

Disclosed are methods and apparatuses for image data encoding/decoding. A method for decoding a 360-degree image includes the steps of: receiving a bitstream obtained by encoding a 360-degree image; generating a prediction image by making reference to syntax information obtained from the received bitstream; adding the generated prediction image to a residual image obtained by dequantizing and inverse-transforming the bitstream, so as to obtain a decoded image; and reconstructing the decoded image into a 360-degree image according to a projection format. Therefore, the performance of image data compression can be improved.

Disclosed are methods and apparatuses for image data encoding/decoding. A method for decoding a 360-degree image includes the steps of: receiving a bitstream obtained by encoding a 360-degree image; generating a prediction image by making reference to syntax information obtained from the received bitstream; adding the generated prediction image to a residual image obtained by dequantizing and inverse-transforming the bitstream, so as to obtain a decoded image; and reconstructing the decoded image into a 360-degree image according to a projection format. Therefore, the performance of image data compression can be improved.

Coding using efficient context handling in arithmetic coding is disclosed. A method for decoding a current block in a scan order includes identifying a current entropy coded transform coefficient from the current block, and entropy decoding the current entropy coded transform coefficient. Entropy decoding the current entropy coded transform coefficient may include determining, based on the scan order, a first scan order distance between a scan order location corresponding to the current entropy coded transform coefficient and a scan order location corresponding to a first context coefficient, identifying a first context coefficient value from a first location in a context coefficient register, the first location corresponding to the first scan order distance, and entropy decoding the current entropy coded transform coefficient based on the first context coefficient value. The method also includes including the entropy decoded current transform coefficient in an output bitstream.

Coding using efficient context handling in arithmetic coding is disclosed. A method for decoding a current block in a scan order includes identifying a current entropy coded transform coefficient from the current block, and entropy decoding the current entropy coded transform coefficient. Entropy decoding the current entropy coded transform coefficient may include determining, based on the scan order, a first scan order distance between a scan order location corresponding to the current entropy coded transform coefficient and a scan order location corresponding to a first context coefficient, identifying a first context coefficient value from a first location in a context coefficient register, the first location corresponding to the first scan order distance, and entropy decoding the current entropy coded transform coefficient based on the first context coefficient value. The method also includes including the entropy decoded current transform coefficient in an output bitstream.

A method includes performing a conversion between a video including a video picture and a bitstream of the video according to a rule, wherein the video picture including a subpicture, a tile, and a slice, and wherein the rule specifies that, due to the subpicture including the slice that is partitioned from the tile, the conversion is performed by refraining from counting a height of the subpicture using a number of tiles of the video picture.

A moving picture decoding apparatus, method, and medium for decoding a current block are provided. A first candidate is derived from a first motion vector that has been used to decode a first block. The first block is adjacent to the current block. A first index identifying a reference picture to be selected for decoding the current block is decoded. A second candidate having a second motion vector that includes a non-zero value is derived. The non-zero value is assigned to the reference picture. A selected candidate is selected from a plurality of candidates, including the first candidate and the second candidate. A second index identifying the selected candidate is decoded. The current block is decoded using the selected candidate. The second candidate includes the non-zero value of the reference picture, with the reference picture being selected from a plurality of referable reference pictures.

A moving picture decoding apparatus, method, and medium for decoding a current block are provided. A first candidate is derived from a first motion vector that has been used to decode a first block. The first block is adjacent to the current block. A first index identifying a reference picture to be selected for decoding the current block is decoded. A second candidate having a second motion vector that includes a non-zero value is derived. The non-zero value is assigned to the reference picture. A selected candidate is selected from a plurality of candidates, including the first candidate and the second candidate. A second index identifying the selected candidate is decoded. The current block is decoded using the selected candidate. The second candidate includes the non-zero value of the reference picture, with the reference picture being selected from a plurality of referable reference pictures.