Abstract: A low-complexity panoramic video coding method considering distortion temporal propagation is provided. By analyzing the inter-frame reference relationships under the random access coding structure and establishing the corresponding distortion propagation chain, the method utilizes distortion impact factors of coding units to adjust encoding parameters, thereby optimizing the encoding process. Furthermore, the method addresses the issue of oversampling arising from the varying geometric deformations in different latitude regions during the projection of spherical images in panoramic videos. This is achieved by adjusting coding parameters based on the ratio of area changes at different latitudes. The proposed approach significantly enhances coding performance.

Abstract: An image encoding and decoding method, includes: determining location information of a target reconstructed image block of a current to-be-encoded image block, where the target reconstructed image block is a reconstructed image block used to determine motion information of the current to-be-encoded image block; determining a first transform core pair based on the location information of the target reconstructed image block; and transforming a residual signal of the current to-be-encoded image block based on the first transform core pair, to obtain a transform coefficient.

Abstract: A temporal domain rate distortion optimization based on video content characteristic and QP-? correction provides the temporal domain rate distortion optimization based on the video content characteristic and the QP-? correction for a new generation encoder AV1, wherein according to a previous temporal domain dependency relationship under an HEVC-RA coding structure, a feature of the new generation encoder AV1 and a video sequence feature, an aggregation distortion of a current coding unit and an affected future coding unit is estimated and ta propagation factor of the current coding unit in a temporal domain distortion propagation model is calculated by constructing a temporal domain distortion propagation chain, wherein a Lagrange multiplier is adjusted through a more accurate propagation factor to realize a temporal domain dependency rate distortion optimization, and a relationship of QP-? is re-corrected and an I frame is adjusted to achieve a better coding effect.

Abstract: A loop filtering method based on an adaptive self-guided filtering is mainly an adaptive self-guided filtering technology considering local structure information of an image, wherein a regularization coefficient is adjusted by calculating a weight coefficient of the regularization coefficient to realize the adaptive self-guide filtering, and then a region-level subspace mapping iterative optimization implemented on each region enables a mapping result of the each region to be optimal, wherein the mapping result of a whole image is closer to an original image. Beneficial effects of the loop filtering method are as follows: a filtering effect of a loop filtering is improved, a distortion effect of a reconstruction image is reduced and a reconstruction quality of a video frame is improved, wherein the reconstruction image is more favorable for a subsequent reference and a subjective and objective quality of the video is further improved.

Abstract: A temporal domain rate distortion optimization considering a coding-mode adaptive distortion propagation is provided. A problem of dependency rate distortion optimization based on a temporal domain distortion propagation is induced again according to a temporal domain dependency relationship under an LD structure and a distortion propagation analysis under a skip mode and an inter mode; and an aggregation distortion of a current coding unit and an affected future coding unit are estimated and a propagation factor of a coding unit in a temporal domain distortion propagation model is calculated by constructing a time propagation chain, wherein a Lagrange multiplier is adjusted through an accurate propagation factor to realize a temporal domain dependency rate distortion optimization, and an I frame is subjected to a secondary coding technology to realize the temporal domain dependency rate distortion optimization of the I frame.

Abstract: A temporal domain rate distortion optimization based on video content characteristic and QP-? correction provides the temporal domain rate distortion optimization based on the video content characteristic and the QP-? correction for a new generation encoder AV1, wherein according to a previous temporal domain dependency relationship under an HEVC-RA coding structure, a feature of the new generation encoder AV1 and a video sequence feature, an aggregation distortion of a current coding unit and an affected future coding unit is estimated and to propagation factor of the current coding unit in a temporal domain distortion propagation model is calculated by constructing a temporal domain distortion propagation chain, wherein a Lagrange multiplier is adjusted through a more accurate propagation factor to realize a temporal domain dependency rate distortion optimization, and a relationship of QP-? is re-corrected and an I frame is adjusted to achieve a better coding effect

Abstract: A method for optimizing a second coding is provided. The method includes: Setting a quantization parameter of a start frame of a video sequence according to a range of an input quantization parameter QP0 of a coder; performing first coding with a simplified method, and calculating a frame-level temporal impact factor ki of a current frame and a block-level temporal impact factor kB,j of all 16×16 pixel blocks in the current frame; restoring reference list information of the coder after the first coding is completed, and then determining whether a scene is switched; and performing the second coding by setting quantization parameters with different strategies according to whether the scene is switched.

Abstract: A temporal domain rate distortion optimization considering a coding-mode adaptive distortion propagation is provided. A problem of dependency rate distortion optimization based on a temporal domain distortion propagation is induced again according to a temporal domain dependency relationship under an LD structure and a distortion propagation analysis under a skip mode and an inter mode; and an aggregation distortion of a current coding unit and an affected future coding unit are estimated and a propagation factor of a coding unit in a temporal domain distortion propagation model is calculated by constructing a time propagation chain, wherein a Lagrange multiplier is adjusted through an accurate propagation factor to realize a temporal domain dependency rate distortion optimization, and an I frame is subjected to a secondary coding technology to realize the temporal domain dependency rate distortion optimization of the I frame.

Abstract: A loop filtering method based on an adaptive self-guided filtering is mainly an adaptive self-guided filtering technology considering local structure information of an image, wherein a regularization coefficient is adjusted by calculating a weight coefficient of the regularization coefficient to realize the adaptive self-guide filtering, and then a region-level subspace mapping iterative optimization implemented on each region enables a mapping result of the each region to be optimal, wherein the mapping result of a whole image is closer to an original image. Beneficial effects of the loop filtering method are as follows: a filtering effect of a loop filtering is improved, a distortion effect of a reconstruction image is reduced and a reconstruction quality of a video frame is improved, wherein the reconstruction image is more favorable for a subsequent reference and a subjective and objective quality of the video is further improved.

Abstract: A method for optimizing a second coding is provided. The method includes: Setting a quantization parameter of a start frame of a video sequence according to a range of an input quantization parameter QP0 of a coder; performing first coding with a simplified method, and calculating a frame-level temporal impact factor ki of a current frame and a block-level temporal impact factor kB,j of all 16×16 pixel blocks in the current frame; restoring reference list information of the coder after the first coding is completed, and then determining whether a scene is switched; and performing the second coding by setting quantization parameters with different strategies according to whether the scene is switched.

Abstract: An image encoding and decoding method, includes: determining location information of a target reconstructed image block of a current to-be-encoded image block, where the target reconstructed image block is a reconstructed image block used to determine motion information of the current to-be-encoded image block; determining a first transform core pair based on the location information of the target reconstructed image block; and transforming a residual signal of the current to-be-encoded image block based on the first transform core pair, to obtain a transform coefficient.

Abstract: The present disclosure discloses a decoding method based on template matching, including: obtaining a prediction direction identifier and encoded data of a current picture block; when a value of the prediction direction identifier indicates that the encoded data of the current picture block is obtained by performing bidirectional prediction on the current picture block based on a first motion information list and a second motion information list, determining the first motion information list of the current picture block and the second motion information list of the current picture block; determining first motion information based on the first motion information list; determining second motion information based on the second motion information list; and obtaining a reconstructed picture block of the current picture block based on the first motion information, the second motion information, and the encoded data of the current picture block.

Abstract: A block motion estimation method for estimating a motion vector on the basis of a position of a frame block in a current picture compared to a position of said frame block in a reference picture, by determining, at a plurality of search points of said current picture, a variation of the current picture as compared to the reference picture, said search points defining a polygonal search area along the perimeter thereof, said search area including some reference search points and inner search points, the method comprising the following steps: sub-dividing a plurality of n-tuples each n-tuple comprising n of said search points, wherein n is any integer from 1 (normally 2, 3 or more); determining a selected n-tuple of said sub-plurality of n-tuples having the smallest sum of distortions; and comparing the distortion at said central reference search point and at least one inner search point adjacent to the selected n-tuple such as to determine that search point thereof having the smallest distortion which is used

Abstract: A block motion estimation method for estimating a motion vector on the basis of a position of a frame block in a current picture compared to a position of said frame block in a reference picture, by determining, at a plurality of search points of said current picture, a variation of the current picture as compared to the reference picture, said search points defining a polygonal search area along the perimeter thereof, said search area including some reference search points and inner search points, the method comprising the following steps: sub-dividing a plurality of n-tuples each n-tuple comprising n of said search points, wherein n is any interger from 1 (normally 2, 3 or more); determining a selected n-tuple of said sub-plurality of n-tuples having the smallest sum of distortions; and comparing the distortion at said central reference search point and at least one inner search point adjacent to the selected n-tuple such as to determine that search point thereof having the smallest distortion which is used