85results about How to "Improve compression efficiency" patented technology

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.

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.

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.

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 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.

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 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 objective of this invention is to improve the compression efficiency of image data. An encoding apparatus is provided for encoding image data from a camera sensor having a three-primary-color filter and an infrared filter in the visible light wavelength region. The encoding apparatus includes an encoding processing unit that encodes visible light image frames and infrared image frames after converting their color space from RGB to YUV. The encoding processing unit is configured to, when predicting the pixel values ​​of the encoding target blocks of the visible light image frames and infrared image frames, select a prediction mode from intra-frame prediction, inter-frame prediction, and inter-viewpoint prediction; and encode the difference between the predicted pixel values ​​obtained by predicting the pixel values ​​of the encoding target blocks of the visible light image frames and infrared image frames using the prediction mode and the actual pixel values ​​of the encoding target blocks of the color-converted visible light image frames and infrared image frames.

This application provides an intra-frame prediction method and a color component prediction method. The intra-frame prediction method includes: obtaining color component samples from a template region; applying a first sample-side filter (SSF) to the color component samples; obtaining a linear function based on the filtered color component samples of the template region, the linear function being used to predict the chrominance component based on the luminance component; obtaining a luminance sample of the current block; and obtaining a chrominance prediction of the current block based on the linear function and the luminance sample of the current block. Implementation of these embodiments can improve data compression efficiency.

The utility model discloses a kind of waste washing machine metal shell compression devices, the device includes base, the base is provided with compression box, compression box is a side or the square box of opposite pair of side open, multiple compression mechanism is set in compression box, multiple compression mechanism includes transverse compression component and longitudinal compression component, transverse compression component has symmetric distribution two groups, respectively set in the two sides of adjacent side of compression box opening side, longitudinal compression component is set in the upper portion of compression box, transverse compression component includes transverse extrusion plate and the transverse hydraulic cylinder of being set in the rear of transverse extrusion plate, longitudinal compression component includes downward extrusion longitudinal extrusion plate and the longitudinal hydraulic cylinder of being set in the above of longitudinal extrusion plate.The utility model is compressed to waste washing machine metal shell by transverse, longitudinal and rotation three directions simultaneously, compression efficiency is high, the density of compressed metal square is uniform, metal recovery rate is high, easy to operate, effect is remarkable.

According to the waste paper scrap recovery device, an openable movable plate is arranged on the side portion of a paper scrap barrel, a slope expansion plate is arranged at an opening in the upper end of the paper scrap barrel, the inner side of the slope expansion plate is perpendicularly connected with a side plate and a top plate, and a compression mechanism is installed on the top plate. According to the compression mechanism, the compression rod is vertically matched with the compression plate, springs arranged on the outer wall in a sleeving mode and a sliding groove limiting structure of the side plate and the barrel wall are combined, stable compaction of waste paper scraps is achieved, and meshes in the compression plate can exhaust air to improve the compression density. The bottom of the movable plate is connected with a chassis, the outer wall is provided with a pull ring, and the port is connected with the barrel body through a magnetic piece to form a full-open side opening, so that residues in the barrel can be thoroughly cleaned, and the sealing performance is ensured. The device adopts a pure mechanical structure, does not need a complex driving part, has the advantages of efficient collection, labor-saving compression, convenience in cleaning, low manufacturing cost and the like, effectively solves the environmental protection and efficiency problems of waste paper scrap recovery in printing production, and is suitable for being matched with various printing production lines for use.

The invention provides a block compression method for marine survey data, electronic equipment and a storage medium. The method comprises the following steps: acquiring marine survey data, wherein the marine survey data comprises text data and image data; according to the data type of the marine survey data, partitioning the marine survey data to obtain a plurality of original data blocks, and partitioning text data in the marine survey data according to a first partitioning size; partitioning image data in the marine survey data according to a second partitioning size; respectively carrying out data compression on each data block in the plurality of original data blocks to obtain a plurality of compressed data blocks, and adopting different compression strategies on repeated character strings and non-repeated character strings in each data block in the plurality of original data blocks; and performing global assembly on the plurality of compressed data blocks according to the sequence of the plurality of original data blocks to obtain target compressed data. The method can give consideration to high compression rate, high compression speed and low resource consumption.

An image decoding method performed by a decoding device is provided. The method comprises the steps of: determining whether to use a multi-layer decoder-side motion vector refinement (MDMVR) for a current block; deriving a refined motion vector for the current block on the basis of using the MDMVR for the current block; deriving prediction samples for the current block on the basis of the refined motion vector; and generating reconstruction samples for the current block on the basis of the prediction samples.

This invention relates to the field of compression refrigeration technology, and discloses an air conditioning heat pump system and an air conditioner. The air conditioning heat pump system includes a compressor and a temperature regulating component; the temperature regulating component is installed on the outside of the compressor; during the start-up phase, the temperature regulating component heats the compressor; during the stable operation phase, the temperature regulating component cools the compressor. By installing a temperature regulating component on the outside of the compressor, this invention heats the compressor during the start-up phase, which is beneficial for the temperature rise of the lubricating oil inside the compressor and the uniformity of the overall machine temperature, facilitating the rapid attainment of compressor start-up conditions and reducing start-up failures. During the stable operation phase, the temperature regulating component cools the compressor, which helps to improve the service life of the motor inside the compressor, reduce the migration of refrigerant and lubricating oil inside the compressor, improve the compression process of the system, increase cooling and heating capacity, and reduce power consumption, thereby improving the system's energy efficiency under the premise of a fixed heat source.

The application relates to the technical field of multistage compression, in particular to a hydrogen pressurizing equipment based on a multistage compression technology, which comprises a plurality of series-connected pressurizing parts and a central control module for regulation and control. The application guarantees pressure stability in the pressurizing process by arranging pressure stabilizing pipes between the vortex pipes, so that the plurality of vortex pipes can be connected in series, and the central control module is arranged to accurately monitor the pressure of the pressure stabilizing chambers in the pressure stabilizing pipes and the compression chambers in the vortex pipes, accurately control the pressure state of each pressurizing part, accurately match the multistage pressurizing, and adjust the temperature of the internal compressed gas by cooperating with the cooling pipe layer, so that pressure fluctuation caused by gas temperature change is effectively avoided; the vortex compression structure effectively reduces the vibration and noise of the whole equipment, and the series connection of the pressurizing parts can be selected in number, so that the flexibility of the multistage compression is further improved.

The invention discloses a spatial-temporal feature enhancement-based dynamic point cloud geometric compression method and related equipment, and the method comprises the steps: carrying out the multi-layer down-sampling of a reference point cloud and an original point cloud, and obtaining L layers of reference compression point clouds and original compression point clouds; entropy coding and decoding are carried out on the L layers of original compressed point clouds to obtain L layers of reconstructed point clouds; l = L; performing up-sampling on the lth-layer reconstruction point cloud to obtain (l-1)-layer extension point cloud, performing geometric coding and decoding on the (l-1)-layer extension point cloud and the (l-1)-layer original compression point cloud to obtain (l-1)-layer coarse reconstruction point cloud; performing time domain modeling based on the (l-1)-layer coarse reconstruction point cloud and the reference compression point cloud to obtain (l-1)-layer fusion alignment features; obtaining (l-1) layers of reconstruction point clouds based on the (l-1) layers of fusion alignment features and the original compression point clouds; performing progressive decrease operation on l, and performing cyclic reconstruction until l is equal to 1; and performing up-sampling according to the first-layer reconstructed point cloud to obtain a final reconstructed point cloud. The method can adapt to complex point cloud compression requirements and can be widely applied to the technical field of point cloud data processing.

Embodiments of the present application disclose a method, device and equipment for determining a motion vector constraint range, and a storage medium. The method comprises the following steps: determining a reference frame image of a current frame image, and obtaining encoding information of the reference frame image; determining motion vector statistical data of each encoding block in the reference frame image according to the encoding information, wherein the motion vector statistical data comprises vector loss data in horizontal and vertical directions; and calculating a motion vector constraint range of the reference frame image according to the motion vector statistical data. The scheme significantly improves the compression efficiency of video encoding.

The application discloses a solid waste compression equipment, and relates to the field of waste compression, which comprises a box body, an installation opening is formed in the outer wall of the top of the box body, a cover plate is arranged on the inner wall of the installation opening, a circular opening is formed in the outer wall of the top of the cover plate, a cleaning mechanism is arranged on the inner wall of the circular opening, a discharge opening is formed in the outer wall of one side of the box body, a closing assembly is arranged on the inner wall of the discharge opening, a hopper is fixedly connected to the outer wall of the top of the cover plate, a conveying frame is fixedly connected to the outer wall of one side of the hopper, and a conveying belt is fixedly connected to the inner wall of the conveying frame. The cleaning mechanism is arranged on the box body, the multiple spray heads arranged in the cleaning mechanism can conveniently spray disinfectant into the box body, thereby effectively inhibiting the breeding of bacteria in the box body, the driving assembly is arranged to conveniently adjust the position of the sliding column, thereby conveniently hiding the spray heads on the sliding column, and the problem that the existing waste compression equipment is inconvenient to disinfect is solved.

The present application relates to a decoding device, an encoding device and an image data transmitting device. According to the video decoding method of the present document, it is characterized in that it comprises the steps of deriving transform coefficients by dequantization of quantized transform coefficients of a target block; deriving modified transform coefficients based on inverse reduced secondary transform, RST, of the transform coefficients; and generating a reconstructed picture based on residual samples of the target block on the basis of inverse primary transform of the modified transform coefficients, wherein inverse RST using a transform kernel matrix is performed on transform coefficients of a top-left 4x4 region of an 8x8 region of the target block, and the modified transform coefficients of a top-right 4x4 region and a bottom-left 4x4 region of the 8x8 region are derived by the inverse RST.

This invention discloses an intelligent environmental monitoring system for server racks, comprising: an edge perception layer deployed in the server rack for collecting environmental time-series data; a data governance layer including a data verification module, a compression storage module, and a feedback iteration module for anomaly detection, layered compression, and model updates; a collaborative judgment layer including a consensus module for cross-validating anomalous data using the PBFT consensus algorithm; an intelligent control layer including a control module for generating air conditioning control commands using a model predictive control algorithm; and a digital twin layer including a 3D model and a prediction module for predicting environmental change trends and visualizing them. This invention achieves a closed-loop end-to-end system encompassing data verification, lightweight storage, collaborative consensus, intelligent control, and digital twins, significantly reducing false alarm rates, optimizing storage space, improving control accuracy, and enabling predictive maintenance. It can be widely used for data center environmental monitoring.

The video encoding / decoding method and apparatus according to this disclosure can: configure an intra-frame merging list for the current block, the intra-frame merging list including multiple intra-frame merging candidates; derive an intra-frame prediction mode for the current block based on the intra-frame merging list; and generate a prediction block for the current block based on the intra-frame prediction mode.

The present application relates to an image encoding / decoding method, a video data transmission method and a storage medium. According to the present application, a picture decoding method implemented by a decoding device comprises the following steps: acquiring motion prediction information from a bitstream; generating an affine MVP candidate list comprising affine MVP candidates for a current block; deriving a CPMVP for each CP of the current block based on one of the affine MVP candidates comprised in the affine MVP candidate list; deriving a CPMVD for the CP of the current block based on information about the CPMVD of each CP comprised in the acquired motion prediction information; and deriving a CPMV for the CP of the current block based on the CPMVP and the CPMVD.

The invention discloses an edge deployment-oriented neural network video coding model lightweight method, which comprises the following steps of: constructing a video compression model as a reference model to be optimized; inserting a dry mask layer which can be trained into a preset position of a reference model to be optimized, and performing joint training on mask parameters by utilizing a sparse loss function and rate distortion loss to obtain mask parameter distribution; when the proportion of the mask parameter compressed to be zero in any mask layer reaches a preset target sparsity, sparse updating of the corresponding mask layer is stopped, and a mask layer state reaching a sparsity target is obtained; performing fusion operation on each mask layer and the adjacent network layer to obtain a neural network model after structure compression; and removing all mask layers to obtain a lightweight video coding model, and deploying the lightweight video coding model on edge equipment to execute a video compression task. According to the method, the model complexity can be greatly reduced, and the reasoning speed and the deployment efficiency of the edge equipment are improved.

This invention provides a method and system for compressing power messages, relating to the field of power system control technology. The method includes: acquiring power messages via a first FPGA; timestamping the acquired power messages; caching the timestamped messages in a first shared memory; extracting messages from the first shared memory; parsing the messages according to their type and classifying and storing them in a second shared memory; extracting messages from the second shared memory by control block using a second FPGA; compressing the compressed packages corresponding to the control blocks; storing the compressed packages in a third shared memory; packaging and secondary compression according to a set time period; generating a total compressed package for that time period; and storing it on an SSD for dual-disk storage. This invention effectively reduces the storage space requirements for historical messages, improves the storage time of historical messages, and solves the problem of frequent failures in storing historical messages for post-event analysis of power systems.

The application discloses a scroll compressor dynamic and static disc structure, which comprises a dynamic disc and a static disc, the static disc is sleeved with the dynamic disc, and the static disc is above the dynamic disc; a top surface center of the static disc is provided with an exhaust port; a bottom surface of the dynamic disc is sequentially provided with a first lower scroll line, a first middle scroll line and a first upper scroll line from bottom to top, the thickness of the first lower scroll line, the first middle scroll line and the first upper scroll line is gradually reduced; a top surface of the static disc is sequentially provided with a second upper scroll line, a second middle scroll line and a second lower scroll line from top to bottom, the thickness of the second upper scroll line, the second middle scroll line and the second lower scroll line is gradually reduced; when the static disc is sleeved with the dynamic disc, a fourth spiral step edge of a lower end of the second middle scroll line is in abutment with a first spiral step edge of an upper end of the first lower scroll line and forms a lower compression cavity, a third spiral step edge of a lower end of the second upper scroll line is in abutment with a second spiral step edge of an upper end of the first middle scroll line and forms a middle compression cavity, and a lower surface of the static disc is in abutment with an upper end surface edge of the first upper scroll line and forms an upper compression cavity.