Abstract: An image prediction method and device are disclosed. The method includes: obtaining a first reference unit of an image unit, where respective predicted images are obtained for the image unit and the first reference unit by using a same affine model; obtaining motion information of basic motion compensation units at two or more preset positions in the first reference unit; and obtaining motion information of a basic motion compensation unit of the image unit according to the motion information. In this way, motion information of the first reference unit using a same affine motion prediction model is reused, and a more accurate motion vector of a current image unit is obtained, improving prediction accuracy and maintaining encoding and decoding complexity, thereby improving encoding and decoding performance.

Abstract: An image prediction method and device are disclosed. The method includes: obtaining a first reference unit of an image unit, where respective predicted images are obtained for the image unit and the first reference unit by using a same affine model; obtaining motion information of basic motion compensation units at two or more preset positions in the first reference unit; and obtaining motion information of a basic motion compensation unit of the image unit according to the motion information. In this way, motion information of the first reference unit using a same affine motion prediction model is reused, and a more accurate motion vector of a current image unit is obtained, improving prediction accuracy and maintaining encoding and decoding complexity, thereby improving encoding and decoding performance.

Abstract: Embodiments of the present invention provide a motion compensating prediction method and a motion compensating prediction apparatus. The motion compensating prediction method includes: determining a location of an initial reference pixel of a current pixel in a reference image, where the current pixel is located in a first sub-image of a current image; when the initial reference pixel is located outside a second sub-image that is in the reference image and that is at a location corresponding to the first sub-image, determining a location of a target reference pixel of the current pixel in the reference image based on the location of the initial reference pixel; and determining a predicted value of a pixel value of the current pixel based on a pixel value of the target reference pixel and/or a pixel value of a pixel near the target reference pixel.

Abstract: The present disclosure provides a reference image encoding method, including: encoding sequence, to obtain a reconstructed image of a first and second reference images; determining whether a local area in the second reference image is suitable for updating first reference image; determining whether the first reference image is updated; when the first reference image is not updated, and it is determined the second reference image is suitable for updating the first reference image, replacing a pixel value of a corresponding area or a related area in the first reference image with a pixel value of the local area in the second reference image; and compiling, into the bitstream.

Abstract: Embodiments of this application disclose an interpolation filter training method and apparatus, a video picture encoding and decoding method, an encoder, and a decoder. According to the training method, a first sub-pixel picture obtained through interpolation by using a conventional interpolation filter is used as label data, to train a second interpolation filter, so that the second interpolation filter obtained through training can be directly used for a pixel value, obtained through interpolation, of a first fractional pixel position. Therefore, the label data is more accurate, and coding performance of a video picture is improved. According to the encoding method, during inter prediction, a target interpolation filter used for a current encoding picture block is determined from a set of candidate interpolation filters, and the encoder selects, according to content of the current encoding picture block, an appropriate interpolation filter to perform an interpolation operation.

Abstract: A reference image encoding method is provided, including: encoding sequence, to obtain a reconstructed image of a first and second reference images; determining whether a local area in the second reference image is suitable for updating first reference image; determining whether the first reference image is updated; when the first reference image is not updated, and it is determined the second reference image is suitable for updating the first reference image, replacing a pixel value of a corresponding area or a related area in the first reference image with a pixel value of the local area in the second reference image; and compiling, into the bitstream.

Abstract: An image prediction method and device are disclosed. The method includes: obtaining a first reference unit of an image unit, where respective predicted images are obtained for the image unit and the first reference unit by using a same affine model; obtaining motion information of basic motion compensation units at two or more preset positions in the first reference unit; and obtaining motion information of a basic motion compensation unit of the image unit according to the motion information. In this way, motion information of the first reference unit using a same affine motion prediction model is reused, and a more accurate motion vector of a current image unit is obtained, improving prediction accuracy and maintaining encoding and decoding complexity, thereby improving encoding and decoding performance.

Abstract: A picture prediction method and a related apparatus are disclosed. The picture prediction method includes: determining motion vector predictors of K pixel samples in a current picture block, where K is an integer greater than 1, the K pixel samples include a first vertex angle pixel sample in the current picture block, a motion vector predictor of the first vertex angle pixel sample is obtained based on a motion vector of a preset first spatially adjacent picture block of the current picture block, and the first spatially adjacent picture block is spatially adjacent to the first vertex angle pixel sample; and performing, based on a non-translational motion model and the motion vector predictors of the K pixel samples, pixel value prediction on the current picture block. Solutions in the embodiments of the present application are helpful in reducing calculation complexity of picture prediction based on a non-translational motion model.

Abstract: An image prediction method and device are disclosed. The method includes: obtaining a first reference unit of an image unit, where respective predicted images are obtained for the image unit and the first reference unit by using a same affine model; obtaining motion information of basic motion compensation units at two or more preset positions in the first reference unit; and obtaining motion information of a basic motion compensation unit of the image unit according to the motion information. In this way, motion information of the first reference unit using a same affine motion prediction model is reused, and a more accurate motion vector of a current image unit is obtained, improving prediction accuracy and maintaining encoding and decoding complexity, thereby improving encoding and decoding performance.

Abstract: A picture prediction method and a related apparatus are disclosed. The picture prediction method includes: determining motion vector predictors of K pixel samples in a current picture block, where K is an integer greater than 1, the K pixel samples include a first vertex angle pixel sample in the current picture block, a motion vector predictor of the first vertex angle pixel sample is obtained based on a motion vector of a preset first spatially adjacent picture block of the current picture block, and the first spatially adjacent picture block is spatially adjacent to the first vertex angle pixel sample; and performing, based on a non-translational motion model and the motion vector predictors of the K pixel samples, pixel value prediction on the current picture block. Solutions in the embodiments of the present application are helpful in reducing calculation complexity of picture prediction based on a non-translational motion model.

Abstract: A method, electronic device, computer program product, system and circuit assembly are provided for allocating one or more redundant pictures by taking into consideration the information content of the primary pictures, with which the redundant pictures would be associated. In particular, primary pictures that are determined to be more sensitive to transmission loss or corruption may be allocated one or more redundant pictures, while those that are less sensitive may not be so allocated. By selectively allocating redundant pictures to only those primary pictures that are more sensitive, the method disclosed reduces the amount of overhead associated with redundant pictures and increases the coding efficiency, without sacrificing the integrity of the video data.

Abstract: A video encoding and decoding method and apparatus are provided. The video encoding method includes: obtaining a first statistical characteristic of previous K frames of images of a video sequence; determining a first background frame; determining, according to the first statistical characteristic, a QP used for encoding the first background frame; encoding the first background frame according to the QP, to obtain a first background long-term reference frame; and encoding the (K+1)th frame of image of the video sequence to the (K+L)th frame of image of the video sequence according to the first background long-term reference frame. When encoding is performed on the (K+1)th frame of image of the video sequence to the (K+L)th frame of image of the video sequence, the used QP for encoding the background long-term reference frame is determined according to the first statistical characteristic related to video content of the previous K frames of images.

Abstract: A method, electronic device, computer program product, system and circuit assembly are provided for allocating one or more redundant pictures by taking into consideration the information content of the primary pictures, with which the redundant pictures would be associated. In particular, primary pictures that are determined to be more sensitive to transmission loss or corruption may be allocated one or more redundant pictures, while those that are less sensitive may not be so allocated. By selectively allocating redundant pictures to only those primary pictures that are more sensitive, the method disclosed reduces the amount of overhead associated with redundant pictures and increases the coding efficiency, without sacrificing the integrity of the video data.

Abstract: Embodiments of the present invention provide a motion compensating prediction method and a motion compensating prediction apparatus. The motion compensating prediction method includes: determining a location of an initial reference pixel of a current pixel in a reference image, where the current pixel is located in a first sub-image of a current image; when the initial reference pixel is located outside a second sub-image that is in the reference image and that is at a location corresponding to the first sub-image, determining a location of a target reference pixel of the current pixel in the reference image based on the location of the initial reference pixel; and determining a predicted value of a pixel value of the current pixel based on a pixel value of the target reference pixel and/or a pixel value of a pixel near the target reference pixel.

Abstract: A method, electronic device, computer program product, system and circuit assembly are provided for allocating one or more redundant pictures by taking into consideration the information content of the primary pictures, with which the redundant pictures would be associated. In particular, primary pictures that are determined to be more sensitive to transmission loss or corruption may be allocated one or more redundant pictures, while those that are less sensitive may not be so allocated. By selectively allocating redundant pictures to only those primary pictures that are more sensitive, the method disclosed reduces the amount of overhead associated with redundant pictures and increases the coding efficiency, without sacrificing the integrity of the video data.

Abstract: A method, electronic device, computer program product, system and circuit assembly are provided for allocating one or more redundant pictures by taking into consideration the information content of the primary pictures, with which the redundant pictures would be associated. In particular, primary pictures that are determined to be more sensitive to transmission loss or corruption may be allocated one or more redundant pictures, while those that are less sensitive may not be so allocated. By selectively allocating redundant pictures to only those primary pictures that are more sensitive, the method disclosed reduces the amount of overhead associated with redundant pictures and increases the coding efficiency, without sacrificing the integrity of the video data.

Abstract: A video image decoding method includes: parsing a high-resolution image bitstream, to generate a reconstructed image of a first-type sub-image and auxiliary information of the first-type sub-image, where the auxiliary information represents dimension information of the sub-image and position information of the sub-image in a to-be-reconstructed image, the sub-image is a pixel set of any continuous area in the to-be-reconstructed image, and sub-images of the to-be-reconstructed image do not overlap with each other; when a complete reconstructed image fails to be obtained based on the reconstructed image of the first-type sub-image, parsing a low-resolution image bitstream, to generate a reconstructed image of a second-type sub-image, where the second-type sub-image has a resolution the same as that of the first-type sub-image; and splicing the reconstructed image of the first-type sub-image and the reconstructed image of the second-type sub-image based on the auxiliary information, to generate the reconstructe

Abstract: A method, electronic device, computer program product, system and circuit assembly are provided for allocating one or more redundant pictures by taking into consideration the information content of the primary pictures, with which the redundant pictures would be associated. In particular, primary pictures that are determined to be more sensitive to transmission loss or corruption may be allocated one or more redundant pictures, while those that are less sensitive may not be so allocated. By selectively allocating redundant pictures to only those primary pictures that are more sensitive, the method disclosed reduces the amount of overhead associated with redundant pictures and increases the coding efficiency, without sacrificing the integrity of the video data.

Abstract: An image prediction method and a related apparatus are disclosed. The method includes: parsing first bitstream information, used for indicating a motion information unit, to obtain motion information of each first pixel sample and predicted motion information of each second pixel sample; parsing second bitstream information, used for representing differential motion information of each second pixel sample, to obtain motion information of each second pixel sample; and obtaining a predictor of a current image block based on a motion model of the current image block, the motion information of the first pixel sample, and the motion information of the second pixel sample.

Abstract: An image prediction method and device are disclosed. The method includes: obtaining a first reference unit of an image unit, where respective predicted images are obtained for the image unit and the first reference unit by using a same affine model; obtaining motion information of basic motion compensation units at two or more preset positions in the first reference unit; and obtaining motion information of a basic motion compensation unit of the image unit according to the motion information. In this way, motion information of the first reference unit using a same affine motion prediction model is reused, and a more accurate motion vector of a current image unit is obtained, improving prediction accuracy and maintaining encoding and decoding complexity, thereby improving encoding and decoding performance.