1213 results about "Decodes" patented technology

Disclosed in embodiments of the present application are an encoding method, a decoding method, a code stream, an encoder, a decoder, and a storage medium. The decoding method includes: decoding a relevant syntax element of a current block; according to the relevant syntax element, determining to use an intra-template matching prediction (TMP) (IntraTMP) merged intra prediction mode to perform prediction on the current block; determining a matching block of the current block on the basis of a TMP mode, and determining a first predicted block of the current block according to the matching block; determining a second predicted block of the current block on the basis of a non-template matching intra prediction mode; and merging the first predicted block and the second predicted block to determine a final predicted block of the current block.

The embodiment of the invention provides a model training method, an information recommendation method, equipment, a storage medium and a program product. According to the embodiment of the invention, a multi-encoder-multi-sub-decoder-total decoder hybrid model architecture is provided, sample data of different information modes correspond to different encoders-sub-decoders, and a mode of processing all training sample data by a single model is converted into a divide-and-conquer mode. The internal complexity of each encoder-sub-decoder is relatively low, the complexity of model training can be reduced, resource consumption can be saved, and different encoder-sub-decoders can be trained in parallel, so that the model training time can be shortened; and furthermore, by utilizing a dual decoding mechanism of the sub-decoder and the global decoder, parameters of the encoder can be continuously adjusted through local optimization and global optimization, the performance of the model is optimized, the accuracy of a reasoning result is improved, the convergence speed of the model is accelerated, the model training efficiency is further improved, and the model training time is saved.

The embodiment of the invention discloses a video encoding and decoding method and device, equipment and a medium. The method comprises the following steps: a coding end determines a mode identifier corresponding to a sub-block according to a coding mode of a target transformation block for representing binarization coding distribution of a non-zero transformation coefficient at an internal position of the sub-block, and codes the mode identifier to obtain coding information of the target transformation block, so that the coding end or a decoding end carries out decoding according to the coding information of the target transformation block, and the target transformation block is decoded. And obtaining a coding mode for representing the binarization coding distribution of the non-zero transformation coefficients at the internal positions of the sub-blocks, thereby realizing the determination of the positions of the non-zero transformation coefficients corresponding to the target transformation block. According to the technical scheme, the coding and decoding efficiency of the transform block is improved, and the video coding and decoding reliability is high.

This invention discloses a method for camouflaged target detection, belonging to the field of camouflaged target detection. This method constructs a BiSAM based on the SAM network. The SAM encoder, CNN encoder, and dual-domain cascaded attention module BCAM work collaboratively to enrich multi-scale feature information and extract multi-source features from the input image. Specifically, BCAM operates collaboratively in the spatial and spectral domains, selectively recovering and enhancing high-frequency object boundaries while suppressing irrelevant background noise. The multi-source features are fused using AKM to guide the SAM decoder in decoding the ViT image embedding. The method replaces the original position encoding of the cross-attention key vector in the SAM decoder, injecting task-specific knowledge into the frozen SAM decoder. By replacing the original position encoding, the general attention key vector is transformed into a task-aware attention key vector, specifically adapted to camouflaged target detection scenarios, thereby improving the accuracy of camouflaged target detection while maintaining generalization ability.

To provide a method and apparatus for improving image coding efficiency.SOLUTION: An image decoding method includes the steps of: acquiring a sign data hiding enable flag; acquiring a transform skip residual coding (TSRC) enable flag based on the sign data hiding enable flag; acquiring residual information for a current block based on the TSRC enable flag; deriving a residual sample of the current block based on the residual information; and generating a reconstructed picture based on the residual sample. The sign data hiding enable flag is a flag indicating whether sign data hiding is enabled, the TSRC enable flag is a flag indicating whether TSRC is enabled, and the TSRC enable flag is acquired based on the sign data hiding enable flag having a value of zero.SELECTED DRAWING: Figure 10

The invention discloses a large language model safe decoding method based on a dynamic matching rate, and the method comprises the steps: carrying out the auxiliary decoding of a small language model for the user input content of a large language model, carrying out the speculative sampling, and combining the large language model and the sampling probability distribution of the small language model, constructing sampling distribution in different decoding states; under sampling distribution in different decoding states, dynamically adjusting a decoding mode according to a matching rate of lexical elements generated in collaborative decoding of the large language model and the small language model; and according to the change of the matching rate in the decoding process, parameters of a decoding scheme are adaptively adjusted, and speculative safe decoding of the large language model is realized. According to the method and the system, the security of the large language model is enhanced, so that the large language model has the characteristic of deep security alignment and keeps usefulness for benign problems, and decoding of generated contents is accelerated.

The invention provides an AT command parameter dynamic encoding and decoding method and system based on prefix identifications, and relates to the technical field of communication, the method comprises an encoding process and a decoding process, the encoding process comprises the steps of predefining a special character set and encoding algorithms, and configuring a unique corresponding prefix identification for each encoding algorithm; performing character traversal analysis on each parameter of the AT command to be sent, and judging whether any character in the predefined special character set is included or not; if not, directly outputting the parameter as a plaintext parameter; if so, encoding the parameter according to an encoding algorithm corresponding to the parameter, and splicing a corresponding prefix identifier in front of the encoded data to form an encoding parameter; and assembling all the plaintext parameters and the coding parameters according to the AT command grammar, generating a target command character string, and sending the target command character string. According to the invention, unnecessary processing overhead can be reduced, the command transmission length is shortened, and both transmission efficiency and reliability are considered.

The invention discloses a speculation decoding method and device based on a large language model, equipment and a medium, and relates to the technical field of large models, and the method comprises the steps: determining the output probability distribution of a plurality of lexical element positions, and determining a confidence score based on the output probability distribution; determining a target control parameter according to the target state signal, performing aggregation calculation on the confidence coefficient vector to obtain an aggregation confidence coefficient, and determining a target draft length through the aggregation confidence coefficient and the target control parameter; determining a verification tolerance threshold based on the target control parameter and the confidence score, generating a draft sequence based on the target draft length by using a target deep learning model, and verifying each lexical element in the draft sequence based on a preset large language model and the verification tolerance threshold; and adding the successfully verified target lexical units to the end of the currently generated sequence to obtain a target sequence, determining the target sequence as the currently generated sequence, and skipping again to perform the next round of speculative decoding. According to the invention, the efficiency of speculative decoding can be improved.

According to a disclosure of the present document, when the type of inter-prediction of a current block is indicated as biprediction, weight index information for a candidate within a merge candidate list or a sub-block merge candidate list may be derived, and coding efficiency may be increased.

A coding method, a decoding method and a storage medium are provided. The decoding method includes: decoding a code stream, and determining the value of first syntax identification information; if the first syntax identification information indicates that the current block uses a weighted chroma fusion mode, decoding the code stream, and determining the value of second syntax identification information; if the second syntax identification information indicates that the current block uses a chroma fusion export mode, decoding the code stream, and determining an index identification value of the current block; and constructing a candidate parameter list of the current block, and determining a model parameter of the current block according to the candidate parameter list and the index identification value, wherein the model parameter is used for determining a first predicted value, which is based on a cross-component prediction mode, of the current block.

A decoding method according to one aspect of the present disclosure includes: decoding, from a bitstream, (1) position information of vertices forming a first submesh obtained by dividing a three-dimensional mesh and (ii) connection information regarding a connection relationship between the vertices; determining whether a first count that is a number of iterations of division performed on edges forming the first submesh and a second count that is a number of iterations of division performed on a boundary edge shared between the first submesh and a second submesh obtained by dividing the three-dimensional mesh are the same; and when the first count and the second count are different, dividing the boundary edge by performing a first division process and dividing a non-boundary edge by performing a second division process different from the first division process.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, via time-frequency resources using multiple spatial layers, a plurality of code block parts associated with a codeword, where code block parts corresponding to the same code blocks are each offset in different time-frequency resources, where one or more first code block parts are initializing code block parts associated with first decoding characteristics that are different than second decoding characteristics with which one or more second code block parts are associated. The UE may decode, based on the first decoding characteristics and the second decoding characteristics, the one or more first code block parts and the one or more second code block parts.

A decoder includes memory and circuitry coupled to the memory. Using the memory, the circuitry: decodes, from a bitstream, a base data unit of a face image related to a face video and one or more enhancement data units of the face image; decodes, from the bitstream, geometric information corresponding to each of frames of the face video; and generates the face video from the base data unit, the one or more enhancement data units, and the geometric information. In the bitstream, the base data unit is added to a data set corresponding to a first frame that is a frame of the face video. In the bitstream, the one or more enhancement data units are added to one or more data sets corresponding to one or more second frames of the face video.

To provide a method for decoding a point group and a program which can improve the compression performance of coding.SOLUTION: In a point group processing system having a point group coder and a point group decoder, a point group decoder 200 has a tree synthesizing unit 2020 for performing processing differently according to the type of a sensor or an operation mode in an Angular mode of Predictive coding, and responds to processing to Spinning LiDAR data and to processing to Non-Spinning LiDAR data by switching the type of a sensor or the value of the operation mode.SELECTED DRAWING: Figure 2

An encoding and decoding method, an encoder, a decoder, a code stream and a storage medium, the decoding method being applied to the decoder, the decoding method comprising: parsing the code stream, determining first syntax element information of a current decoding unit of a current frame, the first syntax element information representing a type of the decoding unit; the reference information of the reference frames corresponding to different types of decoding units is different; and predicting the current node based on the type of the current decoding unit indicated by the first syntax element information to obtain an attribute prediction value of the current node.

An embodiment according to the invention relates to a decoder for providing decoded parameters of a neural network based on an encoded representation, the decoder configured to use decoding of neural network parameters to obtain a first multidimensional array comprising a plurality of neural network parameter values, the decoder configured to use reordering to obtain a reordered multidimensional array, wherein a first dimension of the first multidimensional array is rearranged to a different dimension within the reordered multidimensional array. Further disclosed is an encoder, a method and a computer program using reordering.

The present application provides a decoding method, wherein the decoding comprises decoding or encoding, and the method comprises: determining whether to use combined inter-intra prediction (CIIP) to predict a current coding unit; and setting a boundary strength of a boundary of the current coding unit to a first value after determining to use CIIP to predict the current coding unit.

1. A method for lossy image and video encoding, transmission, and decoding, comprising: receiving an input image at a first computer system; encoding the input image with a first trained neural network to generate a latent representation; performing a quantization process on the latent representation to generate a quantized latent representation, where a bin size used in the quantization process is based on the input image; and transmitting the quantized latent to a second computing system and decoding the quantized latent with a second trained neural network to generate an output image, where the output image is an approximation of the input image.

A predictive decoding method and apparatus, and a computer storage medium are provided.SOLUTION: In the method, reference samples adjacent to a to-be-decoded block are acquired to obtain a first adjacent reference sample set. The first adjacent reference sample set consists of reference samples in a reference row or a reference column adjacent to the to-be-decoded block. The method also includes determining positions corresponding to the K reference samples starting from a starting position of the reference row or the reference column. K is a positive integer greater than or equal to 1. Obtaining a second adjacent reference sample set according to positions corresponding to the determined K reference samples, where the second adjacent reference sample set includes adjacent reference samples other than the K reference samples in the first adjacent reference sample set, and performing predictive decoding on the to-be-decoded block according to the second adjacent reference sample set.SELECTED DRAWING: Figure 4

The present application discloses an encoding method, a decoding method, a code stream, an encoder, a decoder, and a storage medium. The decoding method comprises: parsing a first syntactic element in a code stream; when the first syntactic element indicates that k transform layers of the current point cloud allow for skip decoding, parsing a second syntactic element of the current transform layer among the k transform layers in the code stream, wherein k is an integer greater than zero; when the second syntactic element indicates that the current transform layer uses skip decoding technology, determining that one or more alternating current coefficient residual values of the current transform layer are preset values; and on the basis of the one or more alternating current coefficient residual values of the current transform layer, determining one or more alternating current coefficient reconstruction values of the current transform layer. In this way, the encoding and decoding efficiency of RAHT transform can be improved.

The embodiment of the invention discloses a coding and decoding method and device, a codec, a code stream, equipment and a storage medium, and the decoding method comprises the steps: determining a first difference value of a sample value between a first reference block pointed by a first candidate MV of a current block and a second reference block pointed by a second candidate MV of the current block; determining a second difference in sample values between the template of the current block and the template of the first reference block; determining a third difference in sample values between the template of the current block and the template of the second reference block; performing motion estimation on the current block at least according to the first difference value, the second difference value and the third difference value to obtain a first prediction MV and a second prediction MV of the current block; and performing motion compensation on the current block according to the first prediction MV and the second prediction MV to obtain a prediction block of the current block.

An image encoding / decoding method and device according to the present disclosure may generate a candidate list of a current block and perform inter prediction of the current block on the basis of motion information of any one of multiple candidates belonging to the candidate list. The multiple candidates may include at least one of spatial candidates, temporal candidates, or derived candidates.

This application discloses a method, apparatus, equipment, and storage medium for locating remaining oil. The method includes: acquiring segmented displacement state data of well groups and boundary transition trajectory data of the development stage; obtaining a continuous potential displacement state sequence by boundary interception, trajectory insertion, and time concatenation; obtaining a continuous displacement state sequence over all time periods by using a three-layer fully connected decoding method mirroring the encoding layer of the preceding depth Koopman autoencoder network; extracting the state at six consecutive sampling times at the boundary to form a local continuous change sequence; obtaining displacement obstruction judgment parameters through two-layer fully connected compression mapping; generating two types of markers through threshold comparison, cross-screening contradictory well groups, associating spatial locations, and merging to obtain the location result. This application can accurately distinguish two types of easily confused areas, and the location result can directly support the selection of sites and potential tapping decisions for later-stage oilfield development measures.

Embodiments of the present application provide an encoding method, a decoding method, an encoder, a decoder, storage medium, and bitstream. The decoding method comprises: decoding a bitstream, and determining a residual value of a current chroma block (S510); determining an intra prediction value of the current chroma block on the basis of reconstructed values of N rows of samples (S520), N being a positive integer greater than 1; and determining a reconstructed value of the current chroma block on the basis of the residual value and the intra prediction value (S530).