83results about How to "Improve data compression ratio" patented technology

The invention provides a duplicated data deleting method applicable to cloud backup, which mainly comprises there levels of duplicated data deletion. In the first level, duplicated files are primarily deleted according to the modification time and the backup time of the files; in the second level, global file-based duplicated data is deleted; and in the third level, local block-based duplicated data is deleted. The duplicated data deleting method is progressive level by level, achieves excellent balance between data compression ration and duplicated date searching cost and has high ratio of the data compression ration to the searching cost; a large number of duplicated data is deleted within short time, the transmission and the storage of backup data are reduced, and the problems of overlarge backup window and high storage cost in a cloud backup system are solved.

A method for context modeling of coding information of a video signal for compressing or decompressing the coding information is provided. An initial value of a function for probability coding of coding information of a video signal of an enhanced layer is determined based on coding information of a corresponding video signal of a base layer.

A method for context-modeling coding information of a video signal for compressing or decompressing the coding information is provided. An initial value of a function for probability coding of coding information of a video signal of an enhanced layer is determined based on coding information of a video signal of a base layer.

Disclosed herein is a method and apparatus for encrypting and compressing multimedia data, which transforms and compresses multimedia data through an encryption key in a process of compressing the multimedia data to record and transmit the data, and encrypts the multimedia data to allow the data to be decoded using only the encryption key. The method includes creating Discrete Cosine Transform (DCT) coefficients by applying input multimedia data to a DCT unit, and quantizing the DCT coefficients; encrypting and compressing transformed Differential Coefficients (DC coefficient) and transformed Amplitude Coefficients (AC coefficient) by transforming encoded DC and AC coefficients depending on a certain encryption key at the time of entropy encoding quantized DC and AC coefficients of the quantized DCT coefficients; and Huffmann coding the encrypted DC and AC coefficients and outputting the coded DC and AC coefficients. The method is a data compression method suitable for processing multimedia data for wireless communication.

A method for context-modeling coding information of a video signal for compressing or decompressing the coding information is provided. An initial value of a function for probability coding of coding information of a video signal of an enhanced layer is determined based on coding information of a video signal of a base layer.

A method for context-modeling coding information of a video signal for compressing or decompressing the coding information is provided. An initial value of a function for probability coding of coding information of a video signal of an enhanced layer is determined based on coding information of a video signal of a base layer.

A road shape recognition device checks a position of a currently travelling vehicle detected by a position detection device with map information so that a road shape at each travelling spot of the currently travelling vehicle is recognized. An image division device divides a display screen of surrounding image data of the currently travelling vehicle into a plurality of divided regions depending on the road shape and sets a data compression rate suitable for the road shape in each of the plurality of divided regions. An image compression device compresses the surrounding image data in each of the plurality of divided regions into codes based on the data compression rate set for each of the divided regions.

The invention discloses an HSV color histogram and DCT perceptual Hash based lens boundary detection method. The HSV color histogram and DCT perceptual Hash based lens boundary detection method comprises a first step of calculating a histogram difference degree between two adjacent frames of images by using the HSV color space based histogram statistic method; a second step of judging the difference degree between the two adjacent frames by adopting a adaptive threshold value, and judging the place between the two adjacent frames is the lens boundary if the difference degree is greater than the threshold value; and a third step of rechecking an early detection result by adopting a DCT based perceptual Hash algorithm and obtaining a final video lens boundary set. Through the early detection of the HSV color histogram and the DCT perceptual Hash algorithm based rechecking, the lens boundary position in a video frame sequence is detected efficiently and accurately, and a firm foundation for the structural analysis of the multimedia video data is accordingly laid.

[PROBLEMS] To provide an image compression method capable of performing compression with different image qualities within an image. [MEANS FOR SOLVING PROBLEMS] In a mosiac processing unit (16), area division means (130) divides input image data into a plurality of filtering areas and at least some of the filtering areas are subjected to unification processing for each of the filtering areas by a filtering unit (131). On the other hand, a JPEG encoder (17) divides the image data after the mosiac processing into a plenty of rectangular block areas and each of the block areas is subjected to the DCT processing and quantization processing. Here, the filtering area consists of adjacent one or more than one sets of rectangular areas consisting of two or more pixels obtained by equally dividing the aforementioned block area by 2n (n is a natural number).

The invention provides a gutter track compression method based on a G2 continuous Bezier curve. The method comprises the following steps of a continuous small-line-segment screening step: regions to be compressed are determined through the continuous small-line-segment screening step; a fitting step: shape value points in each region are fit into a three-order Bezier curve through the fitting step; an error estimation step: the error estimation step is adopted for controlling the precision during the fitting step execution; a transition fairing step: a G2 continuous firing processing path is generated through the transition fairing step. The gutter track compression method has the advantages that the linear cutter path in the numerical control processing code can be compressed into the G2 continuous Bezier curve, each section of Bezier curve only comprises one curvature extreme value point, the data compression rate is high, the whole algorithm does not have the iteration, the real-time performance is good, the estimated error is very similar to the real error, the fitting precision can be effectively controlled, and the method can be applied to the high-speed and high-precision numerical control processing.

The invention relates to a three-dimensional point cloud model data compression method based on four-side patch segmentation. The method comprises the following steps of (1), segmenting the surface ofan input point cloud model to a plurality of quadrangular patches; (2), successively performing parameterization and resampling processing on the quadrangular patches, and obtaining two-dimensional image data; performing regular resampling on the patches, wherein after resampling, each patch can be described by a height picture, thereby converting three-dimensional data to two-dimensional image data and reducing data volume; (3), performing wavelet coding on the two-dimensional image data by means of an EZW algorithm, and realizing progressive compression of a three-dimensional point cloud model; and (4), performing decoding and model reconstruction. An existing OT algorithm has a remarkable sawtooth phenomenon on the condition of low bit rate, and the method according to the invention well settles the defect. On the condition of the same bit rate, the method according to the invention realizes a better visual effect. The method of the invention increases three-dimensional model datacompression rate.

The present invention provides a method for eliminating passive intermodulation interference signal in a communication system and network side equipment. The communication system comprises a baseband unit (BBU), a radio remote unit (RRU), and a common public radio interface (CPRI) which is connected to the BBU and the RRU. The method comprises the steps that: the RRU receives an uplink signal which comprises a passive intermodulation (PIM) interference signal; the RRU eliminates the first component of the PIM interference signal; the RRU sends an uplink remaining signal to the BBU through the CPRI, and the uplink remaining signal is an uplink signal with the elimination of the first component; the BBU eliminates the second component of the PIM interference signal comprised in the uplink remaining signal. Through using the RRU and the BBU, the PIM interference signal is eliminated, the complexity and storage unit cost of the RRU can be reduced, the data compression rate of the CPRI is increased, and the performance of the communication system is improved.

The invention relates to a data compression storage method and a data compression storage apparatus. The data compression method comprises the following steps: a segmentation step of segmenting original data into multiple fields; and a compression step of compressing different fields by adopting different compression strategies based on different data contents and storing the compressed data. According to the data compression storage method and the data compression storage apparatus, different compression methods are adopted for different data contents, so that the data compression efficiencyis effectively improved; and compared with universal data compression tools such as GZIP, SNAPPY and the like, the data compression rate is remarkably improved.

Methods and systems for processing a plurality of video streams are disclosed. One example method includes encoding a first video stream corresponding to a first projection of a scene and encoding a second video stream corresponding to a second projection of the scene. Due to similarities in the spatially proximate projections, the encoded second video stream may be compressed more than the encoded first video stream. Moreover, the first encoded video stream may be stored in a primary data field of a video file and the second encoded video stream may be stored in a supplemental data field of the video file.

The invention discloses a dynamic data compression method for a solid-state disc storage system and relates to the field of computer storage. The redundancy characteristic of data in the storage system is fully utilized, and through a dynamic data compression technology, the redundant information is reduced and the written data quantity is reduced, so that a problem of asymmetry of read-write performance of a solid-state disc is relieved while the space utilization and reliability of the solid-state disc are improved. A compression bit chart and three function modules, namely a load monitoring module, a data compression module and a data decompression module, are arranged on the solid-state disc storage system; and the method comprises a request type judging step, a data compression and writing step and a data decompression reading step. According to the current load state of the system, the written data is dynamically compressed, so that the service ability of the system is unaffected, the written data is fully compressed, more written data is reduced, and the performance and the reliability of a solid-state disc storage device are improved.

The present invention relates to a method and apparatus for genome compression and decompression. In one embodiment of the present invention, there is a method for genome compression, including: selecting from a reference database a reference genome that matches the genome; building an index based on positions of the reference genome's multiple segments in the reference genome; aligning the genome with the reference genome based on the multiple segments so as to identify difference data between the genome and the reference genome; and generating a compressed genome, the compressed genome including at least the index and the difference data. In other embodiments, there is provided an apparatus for genome compression. Further, there is a method and apparatus for decompressing the genome that has been compressed using the above method and apparatus.

The invention discloses a color halftone image compressing method based on three-dimensional matrix WDCT transformation. The color halftone image compressing method based on the three-dimensional matrix WDCT transformation comprises the steps that (1) color space transformation is carried out on input color halftone images; (2) three-dimensional matrix WDCT forward transformation is carried out; (3) statistics is carried out, and long run coefficient position scanning rules are established; (4) coefficients are rearranged; (5) run Huffman (RLH) coding is carried out; (6) code streams are output; (7) the code streams are input; (8) RLH decoding is carried out; (9) the coefficients are restored; (10) three-dimensional matrix WDCT inverse transformation is carried out; (11) color space inverse transformation is carried out; (12) decompressed images are output. According to the color halftone image compressing method based on the three-dimensional matrix WDCT transformation, the information redundancy and the correlation, between a space structure and channels, of the color halftone images are taken into consideration, the correlation among all the channels is removed, and the distribution of image energy is made to be relatively concentrated. The long run coefficient position scanning rules are not limited by the content of the images, color representation models of the images and the color halftone technology, and thus the color halftone image compressing method has wide applicability.

The embodiment of the invention discloses a data compression and decompression method, a data compression and decompression device and data compression and decompression equipment. The data compression method comprises the steps that a first array is generated according to an original sequence, elements in the first array are different from one another, and all numerical values in the original sequence are contained; a second array is generated according to the original sequence, and elements in the second array are position indexes of the elements in the original sequence in the first array; the first array is encoded by adopting an encoding method based on numerical prediction to obtain a first encoding result; the second array is encoded by adopting a variable-length encoding method to obtain a second encoding result; and the first coding result and the second coding result are stored according to a preset mapping relation.

The invention provides a pipeline magnetic flux leakage testing on-line data compression method mainly used for compressing mass data in pipeline magnetic flux leakage on-line testing, and belongs to the field of signal processing. The method comprises the following steps that (1) detected magnetic flux leakage data are divided into data segments having the same number of bytes; (2) whether each data segment contains pipeline defect information is judged by means of average absolute deviation statistical magnitude, and only the data segments containing the defect information are stored; (3) if multiple data segments contain a large amount of redundant signal data, main content of the data segments is analyzed, and only the first little main content is stored; (4) integral promotion wavelet decomposition is conducted on each detecting signal of each data segment after two-stage compression, threshold processing is conducted on wavelet coefficients produced after decomposition, then adaptive coding is conducted on the processed wavelet coefficients, and finally only bit stream data after corresponding coding are stored. Therefore, the method can achieve high-efficiency compression of pipeline magnetic flux leakage testing on-line data.

A base station system according to an aspect of the invention includes a baseband unit (BBU) and a radio frequency (RF) unit (RFU) connected to the BBU via a communication line. The RFU (BBU) measures the frequencies of occurrence of sampled values indicated by sampled data that is a digital signal corresponding to a baseband signal to be transmitted to the BBU (RFU), and generates a frequency distribution representing a relationship between the sampled value having occurred and the frequency of occurrence. Furthermore, the RFU (BBU) determines a plurality of thresholds for compressing the sampled data, which are used for quantization processing of the sampled value, in accordance with the generated frequency distribution, and compresses the sampled data by the quantization processing using the plurality of thresholds.

Systems and methods provide data processing before data compression. The data processing includes contrast enhancement and / or custom color mapping.

The invention discloses a new time sequence data storage method applied to a power plant. The method comprises the steps that an interface function of a DCS (distribution control system) or an SIS (supervisor information system) is utilized to collect real-time data from a DCS database or an SIS database; first compression is performed on the collected real-time data; the collected data is saved in the form of text files, the text files are stored on a directory A of a local hard disk, one measurement point corresponds to one file, and each file saves the data at a first certain time; the filein the last time period is sent to data receiving equipment outside a gateway, and the file is deleted after transmission is completed; received data is saved in the local hard disk, one measurementpoint corresponds to one file, and each file saves the data at a second certain time; and second compression is performed on the file data through compression software, and a compressed file is obtained. Through the method, historical data can be collected quickly and efficiently, the collected data has high integrity, the compression rate is high, and data reading speed is high.

The invention provides a crack image compression sampling method based on a generative adversarial network. The method comprises the steps of network architecture design of a generative adversarial network, crack image generator modeling for representing a crack image and low-dimensional vector mapping relationship, adjustment and optimization of adversarial training hyper-parameters, design of acompressed observation matrix of compressed sampling, solution of an optimal low-dimensional vector and the like. According to the method, the trained crack image generator of the generative adversarial network is used as a physical constraint to realize the decompression reconstruction of the image, the sparsity of the crack image required by the traditional compressed sampling method is not required, and the application range is wider. After the generative adversarial network learns the mapping relation between the crack image and the low-dimensional vector, the low-dimensional vector is optimized based on a gradient descent method, and rapid solving of image decompression reconstruction is achieved. The method has unique advantages in the aspects of crack image reconstruction precision,reconstruction speed and the like under a relatively high compression ratio, and is relatively high in noise robustness.

This coder includes a CPU+DSP core processor, which connects the video-decoding module respectively, the audio module and the power supply module. There are respective bi-direction connections between CPU+DSP core processor and DDR, SDRAM and ether net transferring modules. This invention possesses advantages: (1) realize H.264 hard compressing with a high data compressing ratio; (2) realize video collecting / transferring in a low quality net with low bandwidth, high error code rate and serious interfere; (3) realize real-time browsing the remote end D1 hi-quality images under a lower net speed; (4) auto-regulate the distinguishing rate / frame rate to transfer video fluently during net bandwidth changing; (5) realize hi-quality video decoding (ADC) and video parameter control; (6) realize the extension of several kinds of ports via a main processor; (7) realize video mobile sense and can take photos or video recording.

The invention discloses data processing equipment and a data processing method thereof, and the data processing equipment and the data processing method are used in a relational database. The data processing method used in the relational database comprises the steps that: at least one table is selected from the relational database; each of the selected at least one table is divided into more than two sub-tables according to columns, wherein at least one of the sub-tables comprises at least two columns; and the sub-tables are written into tables of a corresponding row store database.

A data processing apparatus and a data processing method thereof are provided. The data processing apparatus includes a register and a processor electrically connected to the register. The register is stored with a plurality of data. The plurality of data each includes a first sub-datum and a second sub-datum. The plurality of first sub-data corresponds to a first column and the plurality of second sub-data corresponds to a second column. The processor compresses the first sub-data by a first compression algorithm according to a first characteristic of the plurality of first sub-data and compresses the second sub-data by a second compression algorithm according to a second characteristic of the plurality of second sub-data.

To improve the data compression ratio in the data compression / decompression method utilizing the down-sampling process. Image data in a DS area division unit (130) is divided into a plenty of DS areas and DS areas which are not important are converted into contracted data of the block size by down-sampling in a down-sampling unit (131). A relocation unit (132) allocates two or more contracted data in one DS area, inserts file data into the other portion in the DS area, and removes the DS area where no contracted data is allocated, thereby reducing the entire image size. The image data thus contracted is inputted into a JPEG encoder (14) and subjected to a DCT process and a quantization process for each block. When performing restoration, decompression is performed by the JPEG decoder and the original location is restored. As for the contracted data, interpolation is performed to restore the image data.

The invention relates to a method for encoding and decoding images and videos. The current method influences the quality of videos, increases the risk of data loss simultaneously and has poor encodingcompression rate. The method in the invention comprises the following steps: firstly classifying single image objects; building image object standard model databases; respectively implanting identical standard model databases into an image encoder and an image decoder; then carrying out encoding on the images by utilizing the image encoder; retrieving the standard model databases and rebuilding the image objects by the image decoder; combining the rebuilt image objects into virtual images; and obtaining the real images by combing with the virtual images according to image residue error. The method in the invention greatly reduces the data quantity used for channel transmission, and when the quantity of the images needing to be processed is enormous, the effect is more superior and image storage and retrieval are more convenient.

The invention provides a meteorological grid point data storage and query method. The method comprises the steps of migrating meteorological grid point data to a column storage database in advance, wherein each data record of the column storage database stores the value of one grid point in the meteorological grid point data and the index corresponding to the grid point; the indexes correspondingto the grid points are determined according to the row numbers and the column numbers of the grid points; acquiring position information of to-be-queried data; determining an index of the to-be-queried data according to the position information; and reading the value of the grid point corresponding to the index of the to-be-queried data from the column storage database. Corresponding to the meteorological grid point data storage and query method, the invention further provides a meteorological grid point data storage and query device, electronic equipment and a computer readable storage medium.

The invention discloses a two-stage data compression and decompression method on the basis of orthogonal wavelet packet transformation and a rotating door algorithm. Data compression comprises the following steps of: (1) carrying out orthogonal wavelet packet transformation on original data to obtain a wavelet packet coefficient; (2) carrying out threshold processing on the wavelet packet coefficient obtained in the step (1); and (3) carrying out secondary compression on the wavelet packet coefficient subjected to threshold processing by adopting the rotating door algorithm. Compressed data is stored into a historical database or a disk. Decompression on the compressed data comprises the following steps of: (4) carrying out linear interpolation on the compressed data and recovering to obtain primary compressed data; and (5) carrying out wavelet packet reconstitution on the primary compressed data to obtain the original data. The invention solves the problem of difficulty in compressing a nonstationary analog signal in a large-scale real-time database and provides the data compression and decompression method which is simple to implement, has a high data compression ratio and has an obvious compressing effect on the nonstationary analog signal.