An example video coding device is configured to: code a first set of motion information for a current block of video data partitioned into a first partition and a second partition according to a non-rectangular partition mode, the first set of motion information referring to a reference picture list and being associated with the first partition; after coding the first set of motion information, code a second set of motion information for the current block referring to the reference picture list and that is associated with the second partition; in response to the first set of motion information and the second set of motion information both referring to the reference picture list, store the second set of motion information for the current block; and predict subsequent motion information of a subsequent block of the video data that neighbors the current block using the stored second set of motion information.

An example video coding device is configured to: code a first set of motion information for a current block of video data partitioned into a first partition and a second partition according to a non-rectangular partition mode, the first set of motion information referring to a reference picture list and being associated with the first partition; after coding the first set of motion information, code a second set of motion information for the current block referring to the reference picture list and that is associated with the second partition; in response to the first set of motion information and the second set of motion information both referring to the reference picture list, store the second set of motion information for the current block; and predict subsequent motion information of a subsequent block of the video data that neighbors the current block using the stored second set of motion information.

A video decoding method performed by a video decoding apparatus according to the present document may comprise the steps of: parsing a prediction weighted table syntax from a bitstream; parsing number information about weighted reference pictures in a reference picture list from the prediction weighted table syntax; deriving a weighting factor-related flag about the reference picture list on the basis of the number information; performing weighted prediction on a current block on the basis of the weighting factor-related flag so as to derive prediction samples of the current block; generating residual samples on the basis of residual information obtained from the bitstream; and reconstructing a current picture on the basis of the prediction samples and the residual samples, wherein the prediction weighted table syntax is parsed from a picture header of the bitstream.

A video decoding method performed by a video decoding apparatus according to the present document may comprise the steps of: parsing a prediction weighted table syntax from a bitstream; parsing number information about weighted reference pictures in a reference picture list from the prediction weighted table syntax; deriving a weighting factor-related flag about the reference picture list on the basis of the number information; performing weighted prediction on a current block on the basis of the weighting factor-related flag so as to derive prediction samples of the current block; generating residual samples on the basis of residual information obtained from the bitstream; and reconstructing a current picture on the basis of the prediction samples and the residual samples, wherein the prediction weighted table syntax is parsed from a picture header of the bitstream.

A video decoding method performed by a video decoding apparatus, according to the present document, comprises the steps of: parsing a flag for weighted prediction from a bitstream; parsing a prediction weighted table syntax from the bitstream on the basis of the flag; generating prediction samples by performing weighted prediction on a current block within a current picture on the basis of the prediction weighted table syntax; and generating reconstructed samples for the current block on the basis of the prediction samples, wherein the prediction weighted table syntax may be parsed from a picture header or slice header of the bitstream on the basis of a value of the flag.

A video decoding method performed by a video decoding apparatus, according to the present document, comprises the steps of: parsing a flag for weighted prediction from a bitstream; parsing a prediction weighted table syntax from the bitstream on the basis of the flag; generating prediction samples by performing weighted prediction on a current block within a current picture on the basis of the prediction weighted table syntax; and generating reconstructed samples for the current block on the basis of the prediction samples, wherein the prediction weighted table syntax may be parsed from a picture header or slice header of the bitstream on the basis of a value of the flag.

A motion vector refinement apparatus includes a storage device, a reference block fetch circuit, and a processing circuit. The reference block fetch circuit fetches a forward reference block and a backward reference block according to at least specified motion vectors (MVs) of a current block, and stores the forward reference block and the backward reference block into the storage device. The processing circuit derives a first reference block from the forward reference block and a second reference block from the backward reference block, calculates at least one accumulated pixel difference (APD) value for at least one block pair each having a first block found in the first reference block and a second block found in the second reference block, and determines an offset setting for motion vector refinement of the specified MVs according to the at least one APD value.

A motion vector refinement apparatus includes a storage device, a reference block fetch circuit, and a processing circuit. The reference block fetch circuit fetches a forward reference block and a backward reference block according to at least specified motion vectors (MVs) of a current block, and stores the forward reference block and the backward reference block into the storage device. The processing circuit derives a first reference block from the forward reference block and a second reference block from the backward reference block, calculates at least one accumulated pixel difference (APD) value for at least one block pair each having a first block found in the first reference block and a second block found in the second reference block, and determines an offset setting for motion vector refinement of the specified MVs according to the at least one APD value.

The embodiments of the present disclosure provide a code rate control method and apparatus, an image acquisition device, and a readable storage medium. The method comprises: acquiring the gain and exposure time of an image to be encoded from an image processing module of an image acquisition device; obtaining corresponding reference distortion degree according to the gain and exposure time of said image; calculating the difference between the distortion degree in a characteristic region of said image and the reference distortion degree; calculating a distortion tolerance degree of macro blocks constituting said image according to the difference between the distortion degree in the characteristic region of said image and the reference distortion degree; performing macro block predictions on the respective macro blocks in said image, to obtain an optimum macro block prediction mode; and encoding said image, which corresponds to the optimum macro block prediction mode, in order to control the code rate of said image. By means of the cooperation of image processing and encoding, said method can achieve code rate control while guaranteeing that the encoded image has a good subjective presentation.

The embodiments of the present disclosure provide a code rate control method and apparatus, an image acquisition device, and a readable storage medium. The method comprises: acquiring the gain and exposure time of an image to be encoded from an image processing module of an image acquisition device; obtaining corresponding reference distortion degree according to the gain and exposure time of said image; calculating the difference between the distortion degree in a characteristic region of said image and the reference distortion degree; calculating a distortion tolerance degree of macro blocks constituting said image according to the difference between the distortion degree in the characteristic region of said image and the reference distortion degree; performing macro block predictions on the respective macro blocks in said image, to obtain an optimum macro block prediction mode; and encoding said image, which corresponds to the optimum macro block prediction mode, in order to control the code rate of said image. By means of the cooperation of image processing and encoding, said method can achieve code rate control while guaranteeing that the encoded image has a good subjective presentation.