183results about How to "Improve compression efficiency" patented technology

The invention discloses an audio and video joint coding and decoding method based on generative artificial intelligence. The coding comprises the following steps: extracting various modal features from an audio signal and a video; fusion is carried out in cross-modal attention; task identification: firstly identifying a current task type, determining the task type, and analyzing specific requirements of the task by a system; dynamic self-adaptive weight distribution is carried out; and fusing the features, namely fusing the multi-modal features distributed with different weights. The audio and video joint coding method has the advantages that audio and video feature extraction, video feature extraction and AI-based generation technologies are applied to audio and video joint coding for the first time, and the problems that when video coding and decoding are conducted through a traditional method, compression efficiency is low, and the pursuit of higher quality cannot be met are solved. Meanwhile, on the basis of a generation type coding and decoding mode, the style and quality can be flexibly adjusted according to the personal requirements of the user.

The invention relates to the technical field of data storage, and discloses a lossless compression algorithm-based data storage method, which comprises the following steps of: receiving to-be-stored data through a data interface, automatically identifying a data format by using a data analysis tool, and performing feature analysis to obtain the size, the type and the complexity of the data; through deep analysis of data features, the method can flexibly select a proper Huffman coding processing mode, and optimizes a compression process according to different data types and complexity. In addition, a context modeling optimization mechanism is introduced, the coding mode is dynamically adjusted, and the compression ratio and the storage efficiency are further improved; efficient storage and reliability verification of data are ensured through a block storage strategy in combination with metadata management; the problem that an existing compression algorithm is low in efficiency is solved, the integrity and reliability of data storage are improved, and the method is suitable for storage requirements of large-scale data and diversified data.

The embodiment of the invention provides a hyperspectral image coding method, a hyperspectral image decoding method and related equipment, and the coding method comprises the steps: firstly, dividing a hyperspectral image into a basic image and an additional image, the basic image comprising anchoring wave band data, and the additional image comprising non-anchoring wave band data; then, spectral interpolation processing is carried out on anchoring wave band data in the basic image, and an interpolation basic image containing non-anchoring wave band data is obtained; next, based on a difference value between the additional image and the interpolation basic image, obtaining an actual residual image; then, inputting the basic image into a spectral super-resolution network to generate a predicted residual image, and obtaining an optimized network parameter based on a difference value between the actual residual image and the predicted residual image; and finally, obtaining image coding data of the hyperspectral image based on the optimized network parameters and the basic image, thereby effectively improving the coding compression efficiency of the hyperspectral image.

The utility model relates to kitchen waste compression equipment which comprises a compression box, the top of the compression box is fixedly connected with a smashing box, the top of the smashing box is fixedly connected with a feeding port, a smashing structure is fixedly arranged in the smashing box, and an ultraviolet lamp is fixedly connected in the compression box. The inner side wall of the compression box is fixedly connected with an electric heating pipe. According to the kitchen waste compression equipment, by arranging the smashing structure, material residues can be automatically removed, fall and discharged along with rotation of the grinding rollers, the material residues are effectively prevented from being accumulated on the inner wall of the smashing box or all parts, and meanwhile the problem that due to the fact that the material residues are accumulated on the inner wall of the smashing box, other workpieces of the equipment break down is solved; meanwhile, bacteria and viruses in the kitchen waste can be killed, peculiar smells generated during compression of the kitchen waste are reduced, the scientific and reasonable requirements are met, a large amount of kitchen waste can be continuously spin-dried and compressed, and the compression efficiency of the kitchen waste is improved.

The invention relates to an index prefix compression processing method and device, computer equipment, a computer readable storage medium and a computer program product, and relates to the technical field of databases. According to the method, intelligent compression of the index prefix can be realized, the compression efficiency is improved, the space occupation is reduced, and the storage overhead of the index is reduced. The method comprises the following steps: generating a prefix symbol for simplifying and representing a corresponding repeated prefix part according to the repeated prefix part of each original index through a symbol generation model; the symbol generation model generates a prefix symbol corresponding to the original index based on the use condition of a historical index containing a historical prefix symbol and / or the use condition of an index sample containing a prefix symbol sample; registering each prefix symbol corresponding to each repeated prefix part in a prefix symbol table; and for the target index, replacing the repeated prefix part of the target index with the corresponding prefix symbol according to the prefix symbol registered in the prefix symbol table.

The invention relates to the technical field of data processing, in particular to a rail train fusion host-oriented data integration method, which comprises the following steps of: acquiring and preprocessing multi-dimensional time sequence data when a rail train runs; determining a target dimension between a target shift and a non-target shift based on the preprocessed multi-dimensional time series data, obtaining corresponding specificity through the target dimension, constructing a target dimension set, obtaining a weight of each dimension of the target shift, and determining a non-standard factor of the target shift; determining a first attention degree and a second attention degree of each initial time period based on the non-standard factors and the multi-dimensional time sequence data, and constructing an attention degree sequence of the target shift from the starting point to the end point by combining the first attention degrees and the second attention degrees to obtain a plurality of optimal time periods and corresponding attention degrees; and carrying out parallel coding on all dimension time sequence data corresponding to the optimal time period, and taking the attention corresponding to the optimal time period as a label to complete data integration.

The invention provides a large model cue word compression method based on dynamic budget allocation. The method aims at optimizing the cue word length of a large language model so as to improve the calculation efficiency of the model and reduce the calculation cost. Through cooperative work of the dynamic budget distributor and the vocabulary selector, the cue words can be compressed on the premise of ensuring semantic integrity. Firstly, a dynamic budget distributor dynamically distributes a vocabulary retention budget of each sentence based on the correlation between each sentence and a question; then, the vocabulary selector calculates the retention probability of each vocabulary through the strategy network, and key vocabularies are preferentially retained; and evaluating loyalty and similarity of compression prompts through a reward function module, and guiding a strategy gradient to update network parameters. According to the method, the performance of the large language model is remarkably improved, and the method is suitable for prompt optimization in scenes such as multi-round dialogues and long text analysis.

This disclosure provides a cross-channel distributed video encoding and decoding method and system based on multidimensional attention, which can be applied to the field of video encoding and decoding technology. The method includes: acquiring a group of video images to be transmitted, the group of video images including a first key reference frame, a second key reference frame, and at least one intermediate video frame; encoding the first key reference frame and the second key reference frame into first encoded data and second encoded data, respectively; encoding each intermediate video frame into third encoded data based on a frame encoder; extracting multi-scale features from each third encoded data based on a multidimensional attention mechanism; processing the multi-scale features into fourth encoded data based on a multi-channel feature extraction mechanism; processing at least one fourth encoded data into a first bitstream; and converting the first encoded data and the second encoded data into a second bitstream, so as to transmit the video image group to the decoder via the first bitstream and the second bitstream.

The invention discloses a two-stage screw air compressor. The air compressor comprises a first-stage rotor assembly, a first-stage driving motor, a second-stage rotor assembly, a flow guide part and a second-stage driving motor. The first-stage rotor assembly comprises a first-stage machine body, a first-stage male rotor and a first-stage female rotor; the first-stage male rotor and the first-stage female rotor are arranged in the first-stage machine body; a first air inlet is formed in the top of the first-stage machine body; the first-stage driving motor is connected with the first-stage male rotor; the second-stage rotor assembly is arranged on the rear side of the first-stage rotor assembly and comprises a second-stage machine body, a second-stage male rotor and a second-stage female rotor. The second-stage male rotor and the second-stage female rotor are arranged in the second-stage machine body; a second air inlet is formed in the bottom of the second-stage machine body; the flow guide piece is connected with the first gas outlet and the second gas inlet and forms a gas flow channel; and the second-stage driving motor is connected with the second-stage male rotor. Through the arrangement, when the air compressor operates, the flow loss of air is lower, and the compression efficiency is higher.

The invention relates to a JBIG arithmetic coding and decoding method and system, the method is realized based on a system structure of a QM encoder and a decoder, the QM encoder comprises a self-adaptive coding module and a coding unit, and the decoder comprises a self-adaptive decoding module and a decoding unit; the method comprises the following steps: step 1) generating a context CX; step 2) performing a JBIG arithmetic coding process; and step 3) performing a JBIG arithmetic decoding process. According to the JBIG arithmetic coding and decoding method and system, the throughput of an engine is improved, the problem of data dependence conflicts in an assembly line is solved, images can be processed at the speed close to one pixel in each clock period, the processing speed is high, the performance can be improved by about 40%, the image compression and processing efficiency is improved, compatibility is high, and the method and system are suitable for popularization and application. And interaction and communication with other JBIG compatible equipment can be realized.

The invention discloses a multifunctional water-gas two-phase compressor, and belongs to the field of compressors. A multifunctional water-gas two-phase compressor comprises a gas storage tank, the top of the gas storage tank is fixedly connected with a power bin, the two sides of the outer wall of the power bin are fixedly communicated with a gas-phase piston cylinder and a liquid-phase piston cylinder correspondingly, and piston plates are slidably connected into the gas-phase piston cylinder and the liquid-phase piston cylinder correspondingly; a compression part for driving the piston plate to slide back and forth is arranged in the power bin; when gas is compressed, water flow is sucked into the gas-phase piston cylinder, so that the gas-phase piston cylinder is lubricated by the water flow, and the compression efficiency is improved; meanwhile, water flow can be used for absorbing heat generated in the compression process, heat abrasion generated in the compression process is effectively reduced, and the durability of the gas-phase piston barrel is improved; and in addition, the airflow is effectively cleaned through cooperation of water flow and dust filtering cloth, the cleanliness of the airflow is improved, abrasion generated in the gas-phase piston cylinder is reduced, and the durability of the gas-phase piston cylinder is improved.

This disclosure provides an image decoding method, an image encoding method, and an image data transmission method. According to embodiments of this document, information for performing in-loop filtering across virtual boundaries can be effectively communicated using signals. For example, in-loop filtering can be performed based on signaling related to whether in-loop filtering across virtual boundaries is permitted.

The present invention discloses an image encoding / decoding method and device. The image decoding method according to the present invention includes: obtaining symmetric motion vector difference mode available information from a bitstream; obtaining first prediction direction zero motion vector difference information from a bitstream; obtaining symmetric motion vector difference mode information of a current block from a bitstream based on the symmetric motion vector difference mode available information and the first prediction direction zero motion vector difference information; obtaining first prediction direction reference picture index information, second prediction direction reference picture index information and first prediction direction motion vector difference value based on the symmetric motion vector difference mode information; and generating a prediction block of the current block by using at least one of the first prediction direction reference picture index information, the second prediction direction reference picture index information and the first prediction direction motion vector difference value, wherein the step of obtaining the reference picture index information of the first prediction direction, the reference picture index information of the second prediction direction and the motion vector difference value of the first prediction direction is obtained by deriving from the bitstream instead of decoding the bitstream when the symmetric motion vector difference mode information of the current block indicates the symmetric motion vector difference mode.

This invention discloses a dual-stream point cloud compression method and system based on semantic scene graphs, relating to the field of point cloud compression. It constructs a point cloud compression network comprising an encoder network and a decoder network: In the encoder network, semantic labels are mapped onto the input point cloud, and scene graphs and octree representations are constructed respectively. Semantic modulation parameters are generated based on the scene graph and encoded to obtain a semantic bitstream. The octree representation, under the influence of semantic modulation parameters, undergoes feature enhancement and attention probability prediction to obtain node occupancy probabilities, and a geometric bitstream is generated through arithmetic encoding. These two bitstreams serve as compressed data. In the decoder network, the bitstreams are decoded, and the octree structure and scene graph information are reconstructed. Node feature representations are recovered by combining the semantic modulation parameters. The reconstructed octree structure is mapped back to the point cloud space through spatial querying and indexing to reconstruct the point cloud. This invention solves the problem of local geometric distortion in low-bitrate octree point cloud compression, ensuring reconstruction quality while reducing the transmission bitrate.

The application discloses a production device and method for enhancing carbon dioxide production, belonging to the technical field of carbon dioxide preparation, which comprises a buffer tank, a compression device, a desulfurization device, a refining device, a liquefaction device, a purification device, a storage bottle, pipeline one, pipeline two, pipeline three, pipeline four, pipeline five, pipeline six, the buffer tank is connected with the compression device through the pipeline one, the desulfurization device is connected with the compression device through the pipeline two, the refining device is connected with the desulfurization device through the pipeline three, the liquefaction device is connected with the refining device through the pipeline four, the purification device is connected with the liquefaction device through the pipeline five, and the purification device is connected with the storage bottle through the pipeline six; the produced liquid carbon dioxide has a purity of 99.9%, and the production has high purity and high efficiency.

The invention relates to a data processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a to-be-deployed original neural network model and a corresponding calibration data set; inputting data in the calibration data set into the original neural network model, and obtaining an activation value corresponding to each model parameter in the original neural network; based on the size of the activation value corresponding to each model parameter, performing quantization processing on the model parameters above the initial quantization retention ratio in the original neural network to obtain a quantized neural network model; and based on the performance of the quantized neural network, performing iterative adjustment on the initial quantization retention ratio until a preset requirement is met, and obtaining a target quantization retention ratio. According to the method, the model storage amount or calculation amount can be effectively reduced under the condition that the model performance is ensured.

The present application relates to a kind of non-invasive log compression optimization method and system, with " sampling representative data → entropy driven generation initial sequence → hierarchical search optimal sequence → parallel rewrite data" as core process, by means of automatic means generation adaptation existing compression algorithm field sequence, improve compression efficiency under the premise of not changing existing compression process, without modifying existing compression / decompression process, only need to increase " field rearrangement " step before data is written into storage, can be directly integrated into existing data processing, adaptation various structured data, by " sampling evaluation + grouping search " reduce computational complexity, support configuration core parameter (such as grouping size, iteration depth), realize " compression ratio-compression speed " Flexible adjustment, with lightweight data protection ability simultaneously.

The invention relates to an image / video compiling method and device based on a picture division structure. A video decoding method performed by a video decoding apparatus according to this document comprises the steps of: parsing, from a bitstream, number information on the number of slices whose height is explicitly signaled in a tile of a current picture; parsing, on the basis of the number information, height information on the height of a slice whose height is explicitly signaled from the bitstream; and decoding the current picture on the basis of the number information and the height information, where the height information includes syntax elements of the same number as a value of the number information, deriving a height of a 0th slice to an (n-1) th slice in the tile on the basis of the syntax elements on the basis of the value of the number information being n, and deriving the height of the nth slice in the tile on the basis of the height of the (n-1) th slice.

This application relates to image encoding apparatus, image decoding apparatus, and their storage media and transmission apparatus. The image decoding method according to this document includes: a residual encoding step for parsing residual information received at a residual encoding level and arranging transform coefficients of the current block according to a predetermined scan order; a step for deriving residual samples by applying at least one of LFNST or MTS to the transform coefficients; and a step for generating a reconstructed image based on the residual samples, wherein LFNST is performed based on an LFNST index indicating an LFNST kernel, and MTS is performed based on an MTS index indicating an MTS kernel, the LFNST index and the MTS index are signaled at the coding unit level, and the MTS index is signaled immediately after the LFNST index is signaled.

The invention belongs to a double-compression pump body structure and a compression method. Comprising a cylinder body and a cylinder base, the cylinder body and the cylinder base form a cavity structure of the compression pump body, a piston rod matched with the cavity structure is arranged at one end of the cylinder base, a to-be-compressed medium inlet is formed in the side, close to the cylinder base, of the cylinder body, and a compressed medium outlet is formed in the other side of the cylinder body. The to-be-compressed medium inlet is communicated with a first compression cavity in the cavity structure, the compressed medium outlet is communicated with a second compression cavity in the cavity structure, and the first compression cavity and the second compression cavity are communicated through a piston rod channel in the piston rod; the device has the characteristics that the design is reasonable, and the compression load in the original compression process is reduced through secondary compression of the to-be-compressed medium, so that the purposes of saving energy, reducing consumption and improving the compression efficiency are achieved.

The invention relates to a data sinking method and device, equipment, a storage medium and a program product, and the method comprises the steps: determining a target continuous key range and a target layer according to a first key value of a first character string file in a first layer and a second key value of a second character string file in the second layer in a process of sinking data from the first layer to the second layer; all the first data blocks in the target continuous key range on the target layer are copied to a third character string file, and all the second data blocks outside the target continuous key range are written into the third character string file. According to the method, the target continuous key range is recognized, and the direct copy operation is executed on the first data block in the range, so that calculation-intensive operation such as analysis, comparison and recoding on each key value pair in the traditional process is effectively avoided, resource consumption in the merging process is remarkably reduced, and the merging efficiency is improved. And the data sinking efficiency is greatly improved.

The present invention provides a method and apparatus for encoding and decoding an image signal. The method comprises: receiving a bit stream of an encoded picture including an image signal; determining a transform block by dividing an encoded block in the encoded picture based on at least one of quadtree partitioning and binary tree partitioning; dividing the transform block in the encoded picture into a plurality of local blocks; decoding coefficients of the transform block in units of local blocks; and reconstructing the transform block using the decoded coefficients, wherein the step of decoding the coefficients of the transform block comprises: decoding a plurality of flags for a current coefficient, wherein the plurality of flags comprises a first flag and a second flag, wherein the first flag indicates whether the absolute value of the current coefficient is greater than a first value, wherein the second flag indicates whether the absolute value of the current coefficient is greater than a second value, wherein at least one of the first value and the second value is equal to or greater than 3, and wherein the first value and the second value are different from each other.

This utility model discloses an anti-clogging garbage compressor, belonging to the field of garbage compression technology. It addresses the problems of lacking garbage crushing operations, difficulty in preventing clogging during the garbage compression and unloading process, and inconvenience in discharging compressed garbage. The compressor includes a main body, a top plate, a compression device, and a discharge port. Drive devices are located on both sides of the discharge port. A support plate is connected to the main body via the drive devices. A crushing mechanism is located on the top left side of the main body, and an anti-clogging mechanism is located inside the main body. A pushing mechanism is located on the right side of the discharge port on the main body. This utility model, through the combination of the crushing mechanism and the anti-clogging mechanism, enables convenient garbage crushing and compression operations, improving garbage compression efficiency. Furthermore, after garbage compression, it effectively prevents clogging during the compression process, further enhancing the practicality of the device.

The present invention discloses a lossless compression storage and reading method for classified raster data. The storage method re-divides the rows and columns of the original classified raster data Data composed of K rows and L columns of pixels with a unit storage area as the minimum granularity to obtain a row and b column storage blocks; for the a row and b column storage blocks, the classification information of each storage block is counted row by row and column by column, the classification information is stored in a data file Xdata, the storage space size of the classification information of the storage block is recorded and stored in the data file rowSize; the metadata information of the original classified raster data Data is stored, and the metadata information is stored in the data file meta. The method avoids the situation that the storage of the label data of the classification value may not be worth the loss when there are many types of classified raster data through conditional judgment, optimizes the data redundancy problem of the classified label data, and improves the data compression efficiency.

The invention provides a decoding apparatus, an encoding apparatus, and an image data transmission apparatus. According to embodiments of the present document, information for implementing in-loop filtering across virtual boundaries may be effectively signaled. For example, in-loop filtering may be implemented based on signaling of information regarding whether in-loop filtering across virtual boundaries is allowed.

The embodiment of the invention provides a log data compression method and device, equipment, a storage medium and a program product, and is applied to the technical field of big data. The method comprises the following steps: acquiring an original log file, and preprocessing the original log file to obtain an intermediate log file; performing clustering processing on the intermediate log file to obtain a plurality of log data clusters corresponding to the intermediate log file; for each log data cluster, extracting a variable set of the log data cluster; determining a target compression mode corresponding to the log data cluster according to a variable type corresponding to the variable set; and performing compression processing on the log data cluster according to the target compression mode to obtain log compression data. Therefore, the electronic equipment adopts different compression modes for different variable types, so that the compression efficiency can be improved, and meanwhile, the compression effect can be optimized.

The invention relates to the field of data transmission, in particular to an internet of things data adaptive compression method and system based on edge computing, and the method comprises the steps: obtaining a historical data set and a to-be-compressed data set, calculating the correlation degree of a target dimension and a contrast dimension, segmenting the to-be-compressed data set, and clustering all segments; calculating the data anomaly probability of the target dimension in the target cluster; calculating a data adaptive compression deviation value of the target dimension in the target segment; calculating an upper door slope and a lower door slope of a target point in a target dimension based on a revolving door algorithm, calculating an upper door effective slope of the target point in the target dimension, similarly obtaining a lower door effective slope, obtaining a compression starting point of the target dimension based on the upper door effective slope and the lower door effective slope, and similarly obtaining a compression ending point; and compressing the data of the target dimension. According to the technical scheme, compression resource consumption can be reduced, and compression efficiency can be improved.

The invention discloses a two-stage screw air compressor with an efficient heat dissipation function. The air compressor comprises a first-stage rotor assembly, a second-stage rotor assembly, a flow guide part and an oil way module. The first-stage rotor assembly comprises a first-stage machine body, a first-stage male rotor and a first-stage female rotor; a first air inlet is formed in the top of the first-stage machine body; the first-stage male rotor and the first-stage female rotor are rotationally arranged in the first-stage machine body; the second-stage rotor assembly is arranged at the rear end of the first-stage rotor assembly and comprises a second-stage machine body, a second-stage male rotor and a second-stage female rotor; a second air inlet is formed in the rear end of the bottom of the second-stage machine body; the second-stage male rotor and the second-stage female rotor are rotationally arranged in the second-stage machine body; the flow guide piece is arranged at the bottoms of the first-stage machine body and the second-stage machine body to form a gas flow channel connected with the first gas outlet and the second gas inlet; the oil way module communicates with bearings at the two ends of the rotors and inner cavities of the flow guide parts. Through the arrangement, the air compressor is better in heat dissipation performance and higher in compression efficiency.

The present invention relates to the technical field of compressor cooling units, and in particular to a twin-screw compressor unit; the twin-screw compressor unit can increase the inlet temperature and pressure of gaseous refrigerant, reduce the internal limit temperature difference of the screw compressor, improve the internal temperature balance of the screw compressor and the compression efficiency of the gaseous refrigerant; it comprises a first unit and an evaporator, the first unit comprises a screw compressor body, an oil-gas separator, a condenser and a throttling and pressure-reducing component connected in sequence; the first unit also comprises a return air pipeline, a warming and boosting device, an oil-gas pipeline and an oil return component; the screw compressor body comprises a shell, a male screw rotatably installed in the shell, a female screw rotatably installed in the shell and meshing with the male screw, and a driving motor that provides power for the rotation of the male screw, and a hollow cavity is provided inside the female screw; the warming and boosting device is used for heating and pressurizing the low-temperature and low-pressure gaseous refrigerant refluxed at the evaporator.