108results about How to "Reduce compression time" patented technology

The invention provides an object and fractal-based binocular three-dimensional video compression and decompression method. In binocular three-dimensional video coding, a left channel is used as a basic layer, a right channel is used as an enhancement layer, and the left channel is encoded by an independent motion compensation prediction (MCP) mode. The object and fractal-based binocular three-dimensional video compression coding method comprises the following steps of: firstly, acquiring a video object partition plane, namely an Alpha plane by a video partition method, encoding the initial frame of a left eye through block discrete cosine transformation (DCT), and performing block motion estimation / compensation coding on a non-I frame of the left eye; secondly, determining the area attribute of an image block by utilizing the Alpha plane, and if the block is not within a video object area of the current code, not processing an external block, and if the block is within the video object area of the current code completely, searching the most similar matching block by a full-searching method in a previous frame of an internal block, namely a reference frame searching window of a left eye video; and finally, compressing coefficients of an iterated function system by a Huffman coding method, and if part of pixels of the block are within the video object area of the current code, and the other part of pixels are not within the video object area of the current code, processing a boundary block independently. The right channel is encoded by a MCP mode and a disparity compensation prediction (DCP) mode, the MCP is similar to the processing of the left eye, and the block with the minimum error is used as a prediction result. When the DCP coding mode is performed, the polarization and directionality in a three-dimensional parallel camera structure are utilized fully.

The present invention discloses a computer duplicated data compressing method, which can to great extent increase the compression rate of the duplicated data in a short time. The present invention is achieved through the following procedures: firstly, a comparison program compares similarities and differences when homonymous files of same type change and acquires a corresponding data block change form; then, an analysis program analyzes all data block change forms of files of same type, gets the optimal splitting mode of the file and stores a type splitting database; finally, the optimal splitting mode of the file in the type splitting database is utilized to compress the duplicated data in the file to be processed when the duplicated data of certain file type needs compressing, thus achieving the minimum compression rate.

The invention relates to a compression method of the mass energy consumption information in an intelligent building, which comprises the following steps that: (1) the data on the monitoring end in the building are collected, and each record of the recording points of the collected data is one triple group (the tagid, the time and the data); (2) when the tense attribute value of some recording point is changed, the corresponding new data are stored into the first stage of buffering, then the next task is directly carried out, and the new data are stored into files through a background data storage thread; (3) the second stage of buffering is established; (4) a historical data compression region is arranged, and the data in a buffering region are transferred to a disk file after being compressed in the compression region; (5) the data files are organized by adopting the form of a file queue, and the next file in the file queue is started after the file is fully stored; and (6) the compressed data are stored into a storer and supplied to the required client to call after the compression is finished.

The invention discloses a layered representation-based unmanned plane video adaptive transmission method. A device for realizing the method comprises a layered structure for video representation, wherein the layered structure sequentially comprises a background layer, an object layer and an enhancement layer from bottom to top. According to different requirements, a corresponding layered structure is selected to transmit a video, and the problem that the movement of an independent moving object in the video is vague and cannot be recognized after the independent moving object is compressed is solved by dividing the moving object. A clear panoramic picture can be provided, or a video sequence with relatively high quality can be provided. The output precision is improved, the compression time is greatly shortened, and the working efficiency is improved to a great extent.

The invention discloses a live-action three-dimensional reconstruction method and system. The method comprises the following steps: acquiring an inclined image, performing quality inspection, light and color uniformizing processing, geometric correction, homonymous point matching, block joint adjustment, multi-view image dense matching, DSM generation, true ray correction, tilt model production and image processing on the inclined image to obtain a 3D database, generating ultrahigh-density point cloud based on the inclined image, compressing and simplifying the ultrahigh-density point cloud, performing geometric processing, multi-view matching and triangulation network construction on the compressed and simplified point cloud data, extracting texture features of typical ground features, and performing visualization processing on textures to finally obtain a three-dimensional model. The problem that a large amount of time and computer resources are consumed for subsequent storage, transmission, display and reconstruction due to the fact that the density of point clouds obtained after scanning is large is solved.

The invention discloses an RLE and LZW-based optimized bit file compression and decompression method. By performing data format analysis on an FPGA configuration bit file, a head control word of the bit file is extracted; preliminary compression is performed by adopting an RLE code with the run length of 4 from real configuration data; and then LZW compression is performed, so that the compression rate is further increased. The decompression is an inverse process of compression; and LZW decompression is performed to recover intermediate data first, and then a data part which does not contain the head control word is subjected to RLE decompression to recover the original FPGA configuration bit file. The method comprehensively considers compression / decompression time and compression rate; compared with a compression tool of Xilinx, single use of an RLE algorithm and single use of an LZW algorithm, the method has the advantages that the win-win purpose of the compression rate and the compression speed is achieved; and the problem of an excessively large FPGA configuration bit file of advanced type of Xilinx is solved, the overhead of a storage chip is reduced, and a key technical support is provided for an FPGA in-orbit reconstruction technology.

The invention provides a fractal-based binocular stereoscopic video compression and decompression method. In binocular stereoscopic video coding, a left channel is taken as a basic layer, a single motion compensation predictive mode (MCP) is adopted for coding, and the method comprises the following steps of: performing block DCT transformation coding on a left-eye start frame, performing motion estimation / compensation coding on a left-eye non-I frame, and calculating the pixel sum and the sum of squares of pixels of subblock domain and father block domain-related subblocks; searching the most similar matching block by using a full search method in a previous frame, namely a reference frame searching window of left-eye video; and finally compressing the coefficient of an iterated function system by using a Huffman coding method. A right channel is taken as an enhancement layer, the MCP and a parallax compensation predictive mode (DCP) are adopted for coding, and the lowest error is selected as a predicted result. During the DCP coding mode, the polalization and directionality in a stereoscopic parallel shooting structure are fully utilized; and the corresponding decompression process comprises the following steps of: for the left eye, decoding the start frame I by adopting a reverse DCT transformation mode, and performing Huffman decoding on the non-I frame so as to acquire the coefficient of the iterated function system; performing macrolbock-based decoding, calculating the pixel sum and the sum of squares of pixels of father block domain-related subblocks in the previous frame; and for a right eye, calculating the pixel sum and the sum of squares of pixels of the father block domain-related subblocks in the right-eye previous frame and a left-eye corresponding frame.

The invention discloses an information processing method, which is applied to first electronic equipment. The first electronic equipment can compress first data and sends the compressed first data to second electronic equipment. The method comprises the following steps: before the first electronic equipment compresses the first data, obtaining a first occupancy rate of a first processor of the first electronic equipment and a second occupancy rate of a second processor different from the first processor; when the first occupancy rate is greater than the second occupancy rate, adopting a second compression way corresponding to the second processor to compress the first data; and when the second occupancy rate is greater than the first occupancy rate, adopting a first compression way which is different from the second compression way and corresponds to the first processor to compress the first data. The method provided by the invention is used for solving the technical problem that equipment performance is lowered since the equipment uses a default compression way to carry out compressed encoding in a wireless screen projection technology.

The invention provides a fractal-based video compression and decompression method. The compression method is a novel video compression and encoding method which adopts the fractal iteration principle for video encoding, and comprises the following steps: encoding a starting frame through block-DCT transformation, and carrying out block motion estimation / compensation coding for a non-I frame, which comprises calculating the sum and sum of squares of the pixels of sub-blocks related to sub-block domains and parent-block domains, finding a most similar matching block in a previous frame search window through full search, and finally compressing factors of an iteration function system through Huffman encoding. The corresponding decompression method comprises the following steps: decoding the I frame through anti-DCT transformation, carrying out Huffman decoding for the non-I frame to obtain the factors of the iteration function system, and carrying out macroblock-based decoding, which comprises calculating the sum and sum of squares of the pixels of the sub-blocks relevant to the parent-block domains, and decoding the macroblocks in the current frame in sequence. The method improves the traditional method of fractal video compression, and not only greatly increases the compression ratio and the peak signal-noise ratio, but also improves the encoding speed, thereby enhancing the fractal video compression and decoding performance, and making the fractal video compression and decoding more practical.

The present invention is for an arterial closure device which can be used to implement and augment the closure of a femoral artery or other related, adjacent or similar members of the vasculature and to reduce compression times associated therewith. A resorbable tubular plug is introduced through a delivery sheath subsequent to a procedure in which the delivery sheath is first utilized. The resorbable tubular plug is inserted through the delivery sheath and the distal tip of the resorbable tubular plug is positioned a short distance into the artery, whereby a suitable entry can be indicated by blood flow through and from the resorbable tubular plug. The delivery sheath is withdrawn to expose the resorbable tubular plug to the tissue track and to the arteriotomy and manual compression is applied to the wound site to foster and promote hemostasis.

The invention provides a lossless stored data compression method and device. The method comprises the following steps: according to the type of stored data in a memory obtained through analysis, selecting a data compression method capable of compressing the type of data; and carrying out lossless compression processing on the type of the stored data in the memory by utilizing the selected data compression method. With the above method and device, stored data compression time and waste of system resources can be reduced.

The invention discloses an object and fractal-based multi-ocular three-dimensional video compressing and decompressing method. In multi-ocular three-dimensional video encoding, a middle ocular video is selected as a reference ocular video and is compressed by using a motion compensation prediction (MCP) principle; and other ocular videos are compressed by using a disparity compensation prediction (DCP)+MCP-based principle. Taking a trinocular video as an example, the middle ocular video is selected as the reference ocular video and is encoded by using a single MCP mode principle, wherein the method comprises the following steps of: first, acquiring a video object segmentation plane, namely an Alpha plane, by a video segmentation method, encoding a start frame by adopting discrete cosine transform (DCT), and performing block motion estimation / compensation encoding on a non-I frame; then, judging the area attribute of an image block by utilizing the Alpha plane, if the block is not in a currently encoded video object area, then not processing the external block, and if all of the block is in the currently encoded video object area, searching a most similar matching block in a reference frame of a previous frame, namely the middle ocular video, by a full search method; and finally, compressing coefficients of an iteration function system by utilizing a Huffman encoding method, if part pixels of the block are in the currently encoded video object area while part pixels are not in the currently encoded video object area, independently processing a boundary block. A left ocular video and a right ocular video are respectively encoded by adopting the MCP+DCP mode; and when the DCP encoding mode is performed, the polarization and the direction in a three-dimensional parallel camera structure are fully utilized.

The invention discloses an object-based fractal video compression and decompression method, which is a novel video compression coding method for coding the video by using the fractal iteration principle based on the video content. The compression process comprises the following steps of: obtaining a video object segmenting plane, namely Alpha plane, by using a video segmenting method; performing block DCT transforming coding on the start frame and block motion estimated / compensated coding on non-I frames; calculating the pixel sum and pixel quadratic sum of sub-blocks associated with a sub-block region and a master block region; searching the most similar matching block in a search window of a previous frame by a full search method; and finally compressing an iterated function system coefficient by a Huffman coding method. The corresponding decompression process comprises the following steps of: decoding the I frame in a reverse DCT transforming mode and performing reverse Huffman coding on the non-I frames to obtain the iterated function system coefficient; then performing macro block-based decoding; calculating the pixel sum and the pixel quadratic sum of sub-blocks associated with the master block region; and sequentially decoding each macro block in the current frame. The object-based coding method is introduced and the traditional fractal video compression method is improved, so that the method greatly improves the compression ratio and the peak signal-to-noise ratio, improves the coding speed and further improves the performance of the fractal video compression coding so as to ensure high flexibility and practicability.

The invention discloses a data transmitting and receiving method and device. The method comprises the steps that the compression factor and the compression identifier are selected according to the numerical value of the original data, wherein the original data include the sign bit and the numerical bit; the bit to be removed of the original data is removed according to the preset compressed effective number of bits and the compression factor so as to obtain the initial compression data; the initial compression data are compressed according to the effective number of bits so as to obtain the compressed effective data; and the packaged sign bit, the compressed effective data; and the compression identifier are transmitted. With application of the method, the original data can be rapidly compressed so that the problem of excessively high data transmission pressure caused by high transmission data volume can be solved, the data compression time can be effectively reduced, implementation issimpler, resource occupation is low and the data transmission form is simple and feasible.

The invention provides a graded compression method for magnetic flux leakage data of a pipeline based on compressed sensing, and relates to the field of lossless pipeline detection and signal processing. The method provided by the invention has the following steps of 1, performing pretreatment such as filtering on the magnetic flux leakage data of the pipeline; 2, grading the magnetic flux leakagedata of a pipeline segment to be graded according to the difference of basic grading thresholds; 3, constructing corresponding sparse transform bases for the magnetic flux leakage data with differentgrades; 4, constructing corresponding observation matrixes for the magnetic flux leakage data with different grades and sizes, and performing sparse collection on the magnetic flux leakage data to acquire an observed value; and 5, reconstructing the observed value by using an orthogonal matching pursuit algorithm, to acquire the reconstructed magnetic flux leakage data of the pipeline. Accordingto the method provided by the invention, the technical problems that in the prior art, the compression time is long, the compression proportion is low and the compressed data leakage information is easy to lose are solved, and various kinds of defect information in the magnetic flux leakage data is completely reserved while the condition that the magnetic flux leakage data of the pipeline is maximally compressed is ensured.

The invention discloses an RIB rendering compressed file FPGA compression / decompression system and hardware decompression method. The system includes a client which is used to transfer the RIB rendering compressed files to a compression module. The compression module transfers the RIB rendering compressed files to a pre-processing module from the client through WAN to compress the RIB rendering compressed files from the client to the server end. RIB rendering compressed files are transferred to FPGA hardware decompression module through the WAN after being compressed with a batch by the compression module. The compression data is read by the FPGA hardware decompression module to realize the hardware decompression of RIB rendering compressed files and output the decompression results to theserver end. The server end is used to access the rendering unit to complete subsequent rendering tasks. The system improves the speed of decompression and reduce the power consumption required for the decompression process.

The invention provides a fractal-based multi-view three-dimensional video compression coding and decoding method. In the multi-view three-dimensional video coding, the intermediate view is selected as a reference view which is compressed by using a motion compensation prediction (MCP) principle, and other views are compressed by using a difference compensation prediction and motion compensation prediction-based (DCP+MCP) principle. Taking a three-view video for example, the intermediate view is used as the reference view, the independent MCP is used for coding, block discrete cosine transform (DCT) is used for coding an initial frame, block motion estimation / compensation coding is performed on non-I frames, the most similar matching block is searched from the previous frame, namely a reference frame search window of the intermediate-view video, by a full-search method, and finally the coefficient of an iterated function system is compressed by a Huffman coding method. The left view and the right view are coded by using the MCP mode and the DCP mode respectively; and when DCP coding is performed, polarization and directivity in a three-dimensional parallel camera structure are fully utilized. A corresponding decoding process comprises the following steps of: decoding the I frame by using an inverse DCT transform mode; performing Huffman decoding on the non-I frames to obtain the coefficient of the iterated function system; performing macro block-based decoding; calculating pixel sum and pixel quadratic sum of sub-blocks associated with a master block domain in the previous frame; and calculating the pixel sum and the pixel quadratic sum of the sub-blocks associated with the master block domains of the previous frame and the frame corresponding to the intermediate view for the left view and the right view respectively.

The invention relates to a gear rack reciprocating motion mechanism and an engine thereof and designs a minimum semicircular gear, semidiameter of which is zero. Utilizing chronotropic action of non-circular gear in the semicircular rack, process of gear movement is from acceleration from standstill, speed reduction to motionless, therefore impact of the gear by the rack is eliminated, and continuous rotation of the gear and reciprocating shockless shifting of the rack are realized. In addition, the invention can reciprocating move in different types to improve mechanical efficiency. For example, reciprocating motion of fast forward and slow backward can prolong admission period and working time of the engine. Compression time is shortened, and exhaust can adjust a valve to keep in good order. Power per liter of the engine is increased, low speed property is improved, use ratio is improved largely and energy is saved.

The invention discloses a distributed optical fiber sensing big data real-time statistical compression method, and relates to the field of sensing signal compression technology. The method comprises the following steps: 1, taking one-dimensional time response signals accumulatively acquired for a long time by each space point in a whole monitoring range as measurement signals, and performing quantile statistics for the measurement signals of each space point respectively; 2, determining an abnormal signal decision standard of each space point according to a quantile statistics result; and 3, taking a one-dimensional time response signal accumulated in a certain space point for a period of time as a signal processing unit, and making an abnormal signal judgment on the signal processing unitaccording the abnormal signal decision standard of the space point; if the signal unit is an abnormal signal, performing a data compressing operation on the signal processing unit. Through adoption of the method, the compression efficiency of massive data generated in a continuous space-temporal uninterrupted monitoring process is increased greatly, and the real-time performance requirement of the massive data compression can be met.

A sheet manufacturing apparatus includes a web forming unit that forms a web in which at least fiber and resin are deposited in the air; a pressing unit that presses the web; and a heating and pressing unit that heats and presses the web on a further downstream side than the pressing unit in a transport direction of the web, in which a pressing force of the pressing unit is greater than a pressing force of the heating and pressing unit.

The invention discloses a compression method and device and a decompression method and device for installation packages, and relates to the technical field of information. The problems that in the prior art, the compression efficiency of a batch of similar installation packages is low, and the generating compression rate of compression files is high are solved. The compression method includes the steps that standard installation packages are selected from the batch of similar installation packages; informative abstract files of the standard installation packages and informative abstract files of increment installation packages are analyzed respectively and compared, and the increment installation packages are the installation packages which are similar to the standard installation packages but are different from the standard installation packages in the batch of similar installation packages; according to the comparison result, difference files of the increment installation packages relative to the standard installation packages are sought, and a preset difference list is updated according to the difference files and used for recording the difference files between the increment installation packages and the standard installation packages; the standard installation packages and the preset difference list are compressed, and target compression files are obtained. The compression method and device and the decompression method and device for the installation packages are used for compressing and decompressing the installation packages.

The invention discloses an implement system of a VLSI adopting the adaptive adjustment algorithm for an H.264 motion estimation search window. The implement system is characterized by comprising a motion vector pre-search module, a search size selection module and an adaptive search window implementation module. The motion vector pre-search module is used for predicting motion vector information of a current macro block of a current frame according to motion vector information of macro blocks corresponding to adjacent frames of a video sequence in order to obtain the optimum matching motion vector information of the current macro block. The search size selection module is used for selecting the size of a search window of the current macro block from sizes from alternative search windows. The adaptive search window implementation module is used for carrying out pixel matching search on the current macro block in the search window in order to obtain the motion vector information of the current macro block. According to the implement system, the size of the search window can be dynamically adjusted according to the motion vector information of the video sequence, the search frequency for pixels is reduced, the motion estimation computation burden is reduced, and compression time is shortened.

The invention discloses an image compression method applying improved bandelet transformation. According to the image compression method, original bandelet transformation and embedded zerotree wavelet coding are combined. The image compression method comprises the steps of firstly performing the bandelet transformation on an image, then using the embedded zerotree wavelet coding to encode and decode bandelet coefficients and finally achieving the effects of image compression. The algorithm is optimized in image compression effect, the image compression ratio and the PSNR are enhanced, and compression time is shortened.

The disclosure concerns a semiconductor tester for testing a MUT, comprising a pattern generator; a pattern formatter; a comparator comparing a result signal from the MUT with an expectation value; a bad block memory; an AFM pre-storing pass / fail information of each of memory cells; a data compressor compressing data of pass / fail information in the AFM; a compression failure buffer memory storing data compressed; a good block register storing an address number of a good block prepared; and an address generator, wherein when the block to be compressed is a good one, the good block register sends a address number of the good block to the compress failure buffer memory.

Disclosed is a conversion compression based maximum error image compression method. The method comprises performing first-stage row conversion compression and storing generated approximate values (mean value) and detail components (conversion coefficients); performing first-stage column conversion compression on the newly generated approximate value portion, and storing the corresponding approximate values and detail components; performing next-stage row and column conversion compression on the newly generated approximate values till only one next approximate value is left to obtain a final compression matrix; performing data reconstruction through the approximate value and the detail components. According to the method, the image compression method based on the maximum error criterion is used, so that errors of all points after data reconstruction are within the given range, and subsequent inquiry is facilitated; meanwhile, compared with a maximum error criterion based image compression method, the method has the advantages that compression time is shortened, and the compression ratio and the reconstruction quality of images are improved.

The invention belongs to the field of rule sets, and discloses a fast compression method based on a rule set in a real-time database. The method includes the steps of fetching information of each rule, utilizing a Hash algorithm to hash rules, and adopting a hash value as a search keyword to constitute a binary tree; building a conflict list for each leaf node of the binary tree, and comparing each rule in each conflict list; finally, traversing the binary tree to conduct regulation combination until no rules in the rule set can be combined. Since the harsh value is adopted as the search keyword to constitute the binary tree (Huffman tree), the conflict of a Harsh function is effectively solved, and the fast compression method based on the rule set in the real-time database is high in dexterity.

A device and method for recycling of gas used during the quenching process in a thermal treatment, for example, in which the gas is removed directly from a quenching chamber and is compressed to the pressure prevailing in the high-pressure container rather than being decompressed into a gas buffer, an additional compression step being connected if the pressure inside the chamber lies below a threshold value, wherefore conduits comprising overflow regulators lead to the individual compression steps.

The application aims to provide an rpm package updating method and equipment. The method comprises the following steps: acquiring package change information of an rpm package based on event detection; updating a database file corresponding to the rpm package according to the package change information; compressing the updated database file to obtain a release file corresponding to the rpm package. Compared with the prior art, the package change information of the rpm package is obtained based on the event detection, and the changed rpm package is targetedly subjected to the update operation, so that judgment and update of all rpm packages are avoided; in addition, the release file is obtained by a multi-thread compressing method, so that the time consumed for compressing the file is greatly reduced. Therefore, the data updating efficiency of the rpm package is greatly improved on the whole.

The invention discloses a wardrobe with compressing and storing functions. The wardrobe comprises a wardrobe body, air cylinders and an air pump, wherein the air cylinders are symmetrically arranged on the inner side wall of the wardrobe body; the air pump is connected with the air cylinders and is used for driving the air cylinders; each air cylinder comprises a piston rod; a sucking disc is arranged at the bottom of each piston rod; a pressing plate is connected to the bottom of the sucking discs; pressing plate fixing grooves are formed in the inner surfaces of two sides of the lower part of the wardrobe body; pressing plate fixing parts for limiting the pressing plate are detachably arranged on the pressing plate fixing grooves. According to the wardrobe disclosed by the invention, regular compression of clothes and quilts can be realized, the limitation of the quantity or the thickness of the clothes and the quilts is avoided, and the damage to the clothes in a compressing process is prevented; the wardrobe is convenient and safe in use and is simple in operation; after being compressed, the clothes are limited and fixed by the pressing plate; a space above the pressing plate is used for hanging the clothes and storing, multiple functions of one wardrobe are realized, and resources are sufficiently utilized; meanwhile, the wardrobe can be repeatedly used, the service life is prolonged, and the wardrobe is easy to maintain. The wardrobe is also provided with a pneumatic synchronous compression loop, so simplicity, environment friendliness, safety and economy are realized.

A data compression device includes an encoding unit that generates encoded data by compressing image data in units of a band. Encoded data storage units have addresses for storing encoded data for each band and a settings receipt unit receives start address settings in the storage units. A control unit stores the data in the storage units every time encoded data for each band is generated. A start address acquisition unit acquires the start address of an empty area where encoded data is not stored. The control unit sets the start address of an empty area in a storage unit different from the storage unit where the encoded data that is being generated is to be stored. The encoding unit then starts to generate encoded data for a next band, and stores the generated data in the storage unit indicated by the start address set in the setting receipt unit.