6results about How to "Improve codec performance" patented technology

The application discloses a training method and device of a coding and decoding model, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: obtaining a pre-training coding and decoding model; wherein the pre-training coding and decoding model comprises a pre-training encoder and a pre-training decoder; performing pruning processing on the pre-training decoder to obtain a pruned decoder; performing encoding processing on second sample multimedia data through the pre-training encoder to obtain encoded feature data, and performing decoding processing on the encoded feature data through the pruned decoder to obtain reconstructed multimedia data; performing parameter optimization on the pruned decoder based on the difference between the reconstructed multimedia data and the second sample multimedia data to obtain a target decoder; and obtaining a target coding and decoding model according to the pre-training decoder and the target decoder. Through the stage-by-stage training mode, the application realizes a large-encoder+small-decoder coding and decoding model, and improves the performance of the coding and decoding model.

The application discloses a brain-computer interaction device with steady-state visual stimulation function and a brain-computer interaction method thereof, and comprises four parts of a control module (1), a partitioned backlight module (2), a liquid crystal module (3) and an electroencephalogram interaction module (4). Wherein, the output end of a partitioned backlight control circuit of the control module is connected with an LED driving circuit of the partitioned backlight module, the output end of a liquid crystal panel control circuit of the control module is connected with a liquid crystal driving circuit of the liquid crystal module, and the input end of the control module is connected with the output end of a signal processing module in the electroencephalogram interaction module. The application combines the steady-state visual stimulation brain-computer interaction and the partitioned backlight liquid crystal display technology, generates different frequency and phase coding space-time coding visual stimulation through the interaction interface based on the steady-state visual stimulation for different time and space, and improves the accuracy of the brain-computer interaction and the information transmission rate.

A method of processing video data performed by an encoder is provided. The method comprises the following steps: acquiring a plurality of original images from original video data; a plurality of reference images are obtained, each reference image in the plurality of reference images corresponds to an original image in original video data, and the resolution of the plurality of reference images is lower than the resolution of the plurality of original images in the original video data; performing up-sampling on the plurality of reference images to obtain a plurality of up-sampled reference images; a weighted filter is obtained to reduce overall error between the plurality of up-sampled reference images and corresponding original images by determining a weighted mapping for each reference image using a weighted mapping function, the weighted mapping comprising a plurality of weights mapped to respective spatial locations of the plurality of up-sampled reference images, and determining a filter that is applied to the plurality of up-sampled reference images by respective weighted mappings to obtain a filtered up-sampled reference image such that the filter is applied to different spatial positions of the plurality of up-sampled reference images with different weights; performing inter prediction on a plurality of blocks of the first image based on a plurality of reference blocks in one or more of the plurality of up-sampled reference images; and encoding the video data encoding information into a code stream, the encoding information comprising information on the weight mapping function and / or the filter to be used at a decoder, where the method further comprises applying the weight filter to the plurality of upsampled reference pictures prior to performing the inter prediction, and applying the weight filter to the plurality of upsampled reference pictures prior to performing the inter prediction. Or during the inter prediction, applying the weighting filter to an up-sampled reference block of the plurality of reference pictures.

This application provides a video encoding method, a video decoding method, an apparatus, a device, and a storage medium, relating to the field of video encoding and decoding technology. The method includes: for a current block within a video frame, acquiring at least one first matching block; acquiring at least one second matching block based on the at least one first matching block, wherein at least one first matching block corresponds to a second matching block with a quantity greater than or equal to one, and the second matching blocks are encoded blocks that match the first matching blocks based on a second prediction mode; determining a prediction block corresponding to the current block from the at least one first matching block and the at least one second matching block; and encoding the current block based on the prediction block corresponding to the current block. The above method improves the accuracy of intra-frame prediction, thereby improving the performance of video encoding and decoding.

The present application provides a video encoding method, a video decoding method, a device, a system, and a storage medium. A secondary transform coefficient of a current block is obtained by decoding a code stream, the secondary transform coefficient being a transform coefficient formed by an encoding terminal performing secondary transform on a residual block of the current block; if it is determined that the use of a weighted prediction mode is allowed for an intra-frame prediction mode of the current block, a target transform kernel corresponding to the current block is selected from transform kernels of preset M types of secondary transform, M being a positive integer greater than 1; inverse secondary transform is performed on the secondary transform coefficient by using the target transform kernel to obtain a primary transform coefficient of the current block; and inverse primary transform is performed on the primary transform coefficient to obtain the residual block of the current block. That is, in the present application, a target transform kernel corresponding to a current block is selected from transform kernels of preset M types of secondary transform, instead of always using a transform kernel corresponding to a certain mode, so that the flexibility of selecting the transform kernel is improved, the transform effect is improved, and the overall encoding and decoding performance is improved.

The embodiment of the application discloses a coefficient coding and decoding method, an encoder, a decoder and a computer storage medium, which are applied to the decoder, and the method comprises the following steps: based on the position of a to-be-decoded quantization coefficient, a first context model adaptive binary arithmetic coding mode is used to analyze a code stream to obtain the value of non-zero identification information; in the case that the value of the non-zero identification information is a first value, a second context model adaptive binary arithmetic coding mode is used to analyze the code stream to obtain the value of X preset identification information; in the case that the value of the Xth preset identification information is the first value, the target order of the exponential golomb code is determined, and the code stream is analyzed by using the exponential golomb decoding algorithm of the target order to obtain the residual value of the reconstructed quantization coefficient absolute value; and the value of the non-zero identification information, the value of the X preset identification information and the residual value of the reconstructed quantization coefficient absolute value are used to determine the reconstructed quantization coefficient absolute value corresponding to the quantization coefficient position.