337 results about "Information compression" patented technology

The invention discloses a novel high-capacity two-dimensional barcode and a system suitable for mobile phones and special equipment, and encoding and decoding methods and applications thereof. The high-capacity two-dimensional barcode is composed of a positioning area, a positioning interval area and a data area, wherein the positioning area is composed of a positioning dotted outline border, positioning points, a positioning information unit and a timing unit; the data area is composed of a header file area and a code information area; the information compression technology, the information coding technology and the information encryption technology are used in the two-dimensional barcode; the two-dimensional barcode can control the error correction level of error correction encoding, the amount of encoding information, the compression method of the information and the encryption method of the information; and in the process of decoding, the dynamic decoding can be performed according to the header file information of the two-dimensional barcode. The two-dimensional barcode is high in capacity, can be positioned quickly so as to carry out all-round code reading, can encrypt information, and can read the information of the two-dimensional barcode by designated special decryption keys or designated decryption devices.

Some embodiments relate to a network comprising two RBridges connected by a link where the two RBridges are not the ingress and egress RBridge for said frames, wherein said RBridges automatically exchange information as to their support of hop-by-hop reversible frame aggregation, reversible header compression, and reversible data compression, and wherein if both RBridges support any or all of these features in the same fashion, one or more of said features are automatically applied to appropriate frames at the transmitting RBridge and removed at the receiving RBridge, increasing the throughput of the link.

A method for generating an enhanced compressed digital image, including the steps of: capturing a digital image; generating additional information relating to the importance of photographed subject and corresponding background regions of the digital image; compressing the digital image to form a compressed digital image; associating the additional information with the compressed digital image to generate the enhanced compressed digital image; and storing the enhanced compressed digital image in a data storage device.

A computerized system for augmenting data from a source database with data from a reference database to generate an augmented database that can be used for predictive modeling is disclosed. The present invention includes a method for using the Internet to obtain information, including, reading a data record stored in a field of data, searching a database for information describing the data record, condensing the information describing the data record into a value description, associating the value description with the data record, and augmenting the field of data with the value description associated with the data. The present invention also includes a computerized system for augmenting data from a source database with data from a reference database to generate an augmented database that can be used for predictive modeling and data mining to conduct searches of data in the augmented database.

The invention relates to a neural network-based cloud intelligent machine system of cloud operation, data mining, the neural network, information security and the like. The system comprises a neural network-based computer structure, a generalized database structure and a data structure over software and hardware boundaries. The system provides and uses a plurality of novel technologies, including an algorithm engine structure, an instinctual neural network, information compression, a limited network protocol, a security system, a cross platform data structure and the like, wherein the computer system structure described in the invention can easily be over thousands times of the cluster computing power of a current top server, and break through the bottleneck of the computing capacity of a future cloud computing center. The system has immunization and self-healing ability, and is prevented from being attacked by virus hackers. The system grows and metabolizes like organisms, defines new constantly changing tasks, and completes upgrading and expansion, and can be applied to a large-scale information center, an out-sourcing enterprise management, E-business and other cloud computing centers.

The invention relates to an embedded bionic olfaction smell recognition method and a device, for simulating the olfactory function of humans / animals, recognizing and analyzing the volatile gas having mixed multiple components. The embedded bionic olfaction smell recognition method comprises: (1) using an array sensor to test known smells as much as possible, to obtain a response mode for each smell, thereby establishing an information database of known smells; (2) processing pretreatment on the object smell information detected by the sensor array to realize drift compensation, information compression and noise filter; (3) processing post treatment on the smell information after pretreatment, to extract the characteristics of the object smell information, reduce measurement spatial dimension and extract the information relative to mode recognition; (4) classifying the smell information of the object smell via characteristics; (5) comparing the obtained characteristic classes of the object smell with the known smell characteristic information in the database to provide a recognition result. The invention can recognize different smells, to resolve the selectivity problem of prior single gas sensor. The analyzing device has wide smell map sensitive recognition range.

The present invention is related to routines for the processing of quantized vector data into one or more arrays of integers whose values are closer to zero than the integers in the quantized vector data. The arrays are input to a compression engine resulting in compressed bytes of data that may be transferred to a computing device for the decompression of the data. The quantized vector data can include vertices expressed as a pair of integer values that may represent geometric, spatial elements, such as points, interconnected lines (polylines), and polygons. These geometric objects may be representative of information on a map. The compressed bytes may be grouped according to grids, wherein each grid represents a distinct geographic area of a map, so that a consumer can store and decompress only the portion of the map data which is of interest.

A fault diagnosis method based on OLPP feature reduction in rotary machine fault diagnosis field includes that a vibration signal is performed with EMD to construct Shannon entropy to obtain high-dimensional feature vectors, and then OLPP is adopted reduce the high-dimensional vectors to low-dimensional feature vectors which are inputted to a Morlet MWSVM for fault recognition. The OLPP preserving local and overall structure retains the low-dimensional internal features of the nonlinear manifold structure, and the MWSVM has self-adaptive decisive power and can be used as a terminal classifier. The invention sufficiently excels the advantages of EMD, OLPP and MWSVM respectively in fault feature extraction, information compression and pattern recognition, not only realizes the full automatic process from fault feature extraction to fault diagnosis, but also has high fault diagnosis accuracy and self-adaptive diagnosis capacity.

The invention discloses a quantum key distribution after-treatment system and a quantum key distribution after-treatment method based on polar code correction. The system comprises a key screening module, a parameter estimation module, a polar code correction module, a consistency verification module and a privacy amplification module which are connected in sequence. The method comprises the following steps: only keeping original keys with the same base selection to form screening keys after quantum bite information is transmitted on a quantum channel; commonly selecting partial key bits from the screening keys to perform disclosed comparison; coding and decoding undisclosed key bits by adopting a system polar code algorithm under the condition that the quantum bit error rate is not higher than a safety threshold value; verifying the consistence of the corrected quantum keys by adopting cryptographic algorithm; and calculating safety information entropy and performing information compression to obtain absolutely safe key bits. The quantum key distribution after-treatment system has linear coding / decoding complexity characteristics, so that the after-treatment time delay and key length increase have linear relationship, and the after-treatment speed is improved.

The invention relates to a method and a system based on a northbound interface to realize network management. The northbound interface caches alarm information and the received alarm information is grouped and done with association analysis according to the ID of an element management system. The alarm information is divided into the following types: filtered alarm information, combined alarm information, compressed alarm information and inhibited alarm information. An alarm analysis device analyzes the alarm information according to alarm time to obtain association alarm information. A fault analysis device generates the dependency relationship of communication equipment according to the association alarm information sent by the alarm analysis device. An alarm treating device correspondingly treats the alarm information according to the types of the alarm information and conducts alarm notice or early fault alarm according to the dependency relationship in a network topological diagram generated by the fault analysis device. By treating the alarm information, the invention relieves the load of the northbound interface and improves the efficiency of the network management system in treating the alarm information.

A video coding device includes: a detecting unit configured to detect a foreground region, a background image and a shadow region reflected on the background image by the foreground region in an input picture; a shadow information compressing unit configured to perform a compression process to compress the information quantity of the shadow region; and a coding unit configured to code the foreground region, the background image and the information on the shadow region subjected to the compression process.

The present invention aims to improve the compression ratio of an encoding method using a dictionary for such as LZ77, LZ78 or LZW for a sample string of an audio signal or an image signal. According to the present invention, the samples are aligned from the MSB side (73), and for an NC-th (NC is the character size, for example, eight bits) character C1(i), the samples are partitioned by starting from the MSB side, and a partitioned portion less than NC is added with dummy bits “0” until the size reaches NC to form a character (74). In this processing, lower bits in the samples can be ignored, mask data M1(i) is created in which digits in the ignorable bit and dummy bits for each C1(i) are set to “0” and effective bits (digits) are set to “1” (75), C1(i) is compared with each character D(j) in a character string for an index j in the dictionary using M1(i) to check whether or not there are matches for effective digits portions in C1(i). If there are matches, C1(i) is considered to match D(j).

The invention discloses a large-scale MIMO time-varying channel state information compression feedback and reconstruction method. The method comprises the steps that a channel matrix sequence is acquired, T channel matrixes are subjected to DFT separately, and a channel matrix sequence which is sparse in the angle delay domain is obtained; a channel feedback and reconstruction model CsiNet-LSTM isconstructed, the channel matrix sequence is input to a coder, and codewords are output; the codewords are sequentially input to a decoder, and a reconstructed channel matrix sequence is output; the channel feedback and reconstruction model is trained to gradually approximate to the channel matrix sequence to obtain model parameters; each channel matrix in the output reconstructed channel matrix sequence is subjected to two-dimensional inverse DFT, and a reconstruction value of an original space-frequency domain matrix sequence is obtained through recovery; and channel state information to befed back and reconstructed is input to the model, and a reconstruction value is output. According to the method, the feedback overhead of large-scale MIMO channel information can be reduced, the reconstruction precision is improved, and the excellent robustness is particularly achieved on decrease of the compression ratio.

The invention has as an object to provide a traffic information providing system capable of compressing traffic information represented at an arbitrary detail level to a data volume corresponding to a different communications environment. The traffic information providing system includes: traffic information providing apparatus including means for generating sampling data from traffic information represented by a function of distance from a reference position on a road or a function of time and means for performing discrete wavelet transform on the sampling data to convert the traffic information to scaling coefficients and wavelet coefficients; and traffic information utilization apparatus for performing inverse wavelet transform on the scaling coefficients and wavelet coefficients received from the traffic information providing apparatus to restore the traffic information. The receiving party can restore coarse or minute information within the range of the received information even in case the traffic information providing apparatus has provided scaling coefficients and wavelet coefficients without considering the communications environment and reception state.

The invention discloses an electronic file storage structure of mobile terminal equipment and a management method, belonging to a field for wireless mode management file of mobile terminal equipment. Currently file managing and storing mode of computers are not suitable for mobile terminal equipment and not compatible. So the invention adopts a series of software and hardware technology, converts through material format, fills memory area block, fills data bits, produces catalogue and label, fills copyright data, compresses file data and encrypts electronic content before encrypted target file UMD file comprising original data, index structure and copyright information compression is finally generated; the file is copied to the mobile terminal and edit interface is arranged at terminal of users. The invention has the advantages of simple structure, less operative steps, high compatibility, flexibility, safety and expansibility.

The invention discloses a configuration method applied to a coarse-grained reconfigurable array, which aims at a coarse-grained reconfigurable array with a certain scale, and comprises a configuration defining scheme taking data links as basic description objects, a corresponding configuration generating scheme and a corresponding configuration mapping scheme. The configuration defining scheme includes that a program corresponds to a plurality of configurations, each configuration corresponds to one data link, and each data link consists of a plurality of reconfigurable cells with data dependence relations. Compared with a traditional scheme taking RCs (reconfigurable cells) as basic description objects, the configuration defining scheme is capable of concealing interlinking information among the RCs and providing a larger configuration information compression space, thereby being beneficial to decrease of the total amount of configuration and time for switching configuration. Besides, the configuration of one description data link consists of a route, a functional configuration and one or more data configurations, the data configurations share one route and functional configuration information, and switching of one configuration includes one-time or multiple switching of the data configuration after one-time switching of the corresponding route and the functional configuration.

A map data storage unit holds map data in which a road ID is allocated, as identification information, to every preset section of at least part of roads. A traffic jam determination unit determines whether the section corresponding to every road ID is congested. A transmission unit performs broadcast transmission of vehicle data including a road ID and the traveling speed of a vehicle from the vehicle traveling in each section of a road. At the time, the transmission unit forms a frame in which the received vehicle data of other vehicle and the vehicle data of a driver's vehicle are combined. An information compressing unit compresses an amount of data by deleting the traveling speed from the frame with respect to a section that has been determined not to be congested by the traffic jam determination unit.

The invention provides an attendance checking method based on a mobile communication terminal. The attendance checking method comprises the following steps: registering staff; setting attendance checking requirements by administrative staff and sending the attendance checking requirements to a cloud server; compressing collected human face biological characteristic information to human face characteristic information; meanwhile, obtaining current geographical time information; processing the human face characteristic information and the current geographical time information; sending obtained attendance checking information to the cloud server; comparing the attendance checking information with registering information; judging whether the attendance checking information is matched with the registering information or not; if so, carrying out the next step; otherwise, judging the attendance check to be abnormal; judging whether the current geographical time information meets the attendance checking requirements or not; if so, judging the attendance check to be normal and recording the attendance checking information; otherwise, judging the attendance check to be abnormal. The invention further relates to a device for realizing the method. The attendance checking method based on the mobile communication terminal and the device, provided by the invention, are implemented and have the beneficial effects that the transmission is rapid, the recognition efficiency is high, the recognition is rapid and the flaws existing in attendance checking management can be eliminated.

A system comprises an encoder configured to compress attribute information and / or spatial information for a point cloud and / or a decoder configured to decompress compressed attribute and / or spatial information for the point cloud. The encoder is configured to convert a point cloud into an image based representation. The encoder packs patch images into an image frame and fills empty spaces in the image frame with a padding. Various compression strategies may be used to encode an occupancy map and related block-to-patch information indicating which portions of the image frame correspond to which packed patches. Packed image frames comprising patches and padding, along with an encoded occupancy map and related block-to-patch information are sent to a decoder. The decoder is configured to generate a decompressed point cloud based on the packed image frames, compressed occupancy map, and related block-to-patch information.

A method and system are disclosed for compressing motion image information by means of predictive coding with a high compression ratio while maintaining high image quality. An image in each frame is divided into blocks in advance, and each of all blocks is approximated by (replaced with) a single plane defined by three data representing the magnitude of the intensity of the block, the block-to-block gradient of the intensity in the x direction, and the block-to-block gradient of the intensity in the y direction. Furthermore, corresponding pixels are compared with each other in each block consisting of n×m pixels between frames, and differential information is generated-according to the comparison result. Pixels indicated as being not greater than a parameter is treated (deleted) as pixels having no difference between frames. Information compression is performed for pixels indicated as being greater than the parameter.

A compression method for high-resolution light field display is disclosed for applications in which computer memory constraints and latency are critical. The disclosed compression algorithm takes advantage of the 3D structure of a light field to compress the raw light field information with a fixed compression ratio and simple decoding instructions. The compressed high-resolution light field achieves a reduced bandwidth with acceptable quality, and is packed in a way that can be transmitted using common interfaces. In a preferred embodiment, the compression algorithm is used as a post-processing stage after light field information acquisition or after rendering. In a further preferred embodiment, the compression algorithm is incorporated into the acquisition or rendering procedure to reduce memory and rendering processing. These and further embodiments generate a compressed light field with all information required for direct display.

An image processing apparatus connected to an external apparatus via a network includes an selecting unit for selecting an application mode and an image quality mode, a scanning unit for scanning an original document, a scanning correction unit for generating image data from the scanned document, a storage unit for storing the image data and the process mode information, a compression unit for compressing the image data, an extension unit for extending the compressed image data, a data format converting unit for converting a data format of the image data according to the application mode and the image quality mode, and a communication unit for communicating the image data with the external apparatus. The data format converting unit receives image data having a first data format, and outputs the image data having a second data format, wherein the first and second data format are either a data format dedicated to the image processing apparatus or a general data format.

The invention discloses a channel information compression feedback method based on a deep cyclic neural network. The method comprises the following steps: firstly transforming a channel matrix into anangle-delay domain by discrete Fourier transform, then retaining columns containing non-zero elements in the channel matrix, splitting the complex matrixes composed of the columns into two-channel real matrixes, firstly using the convolutional network to extract frequency domain features of the channel and then compressing the extracted frequency domain features through a fully connected neural network and a long-short-time memory network by the user side, transmitting the compressing signal to the base station through a system feedback link, and decompressing the signal by using the fully connected neural network and the long-short-time memory network, and recovering and reconstructing the channel matrix using a multi-layer convolutional neural network by the base station. By introducinga cyclic neural network, the method effectively compresses the temporal redundancy of the channel, and improves the compression ratio of the channel information under the premise of ensuring higher performance.

The image data compression method involves the performing of steps: a block dividing step for dividing a computer processor pipeline statistic image to be displayed into a plurality of blocks with predetermined block width and block height; a block list creating step for creating a block list for indexed blocks containing meaningful pixels in the divided blocks such that the indexed blocks are associated with each other, wherein the meaningful pixels are pixels corresponding to the computer processor pipeline raw trace data; and a pixel information compressing step for compressing original pixel information on the meaningful pixels in the indexed blocks and storing it in the block list. Apparatus for performing the method is also provided.

The invention discloses a method for processing a three-dimensional image. The method is used for converting one first image of a first viewing angle into a plurality of second images of a plurality of second viewing angles, and comprises the following steps that a depth map is provided and corresponds to the first image, wherein the depth map comprises a plurality of gray scale pixels, and each gray scale pixel consists of a plurality of sub pixels; the capacity of the depth map is reduced to obtain a reduced depth map, and the reduced depth map only takes the single sub pixel to represent the single gray scale pixel; the first image and the reduced depth map are transferred to a decoder; and the second images are calculated in the decoder. By the method, the information compression ratio is increased, the purpose of reducing the information transmission quantity is realized, and moreover, a picture three-dimensional (3D) display effect is also optimized.

A video processing method and system that obtains, transmits, and processes digital video compression rate information between a video receiver such as a Set-top-box (STB) and a display device such as a TV set. The compression rate information is obtained by the video receiver and delivered to a compression noise reducer in the display device. The compression rate information provides an indication of how much compression noise might be embedded into an incoming compressed video signal and thus allows the compression noise reducer to reduce compression noise from the incoming video signal more effectively and efficiently.

The invention relates to a method for acquisition and compression recording of learning process state information of learners during online teaching, and aims to provide a method for multi-mode learning process state information acquisition and cloud recording based on an event trigger mode. The method adopts an information (facial expressions, gestures, eye conditions, sight, sound and the like) acquisition device, an information processing device and an abnormal information cloud recording device. Through processing of multiple information, characteristic data such as facial expressions, gestures, eye conditions and voice of a learner can be obtained, a learning state of the learner can be determined through time sequence judgment of single-mode information, and through mutual correction of multi-mode information combinations, data cloud recording is realized. The method for on-line learner self-adaption learning process recording and learning state determination-based trigger recording under the learning condition has a wide application prospects in improvement of the learning process detection effect on a network teaching system and intelligence.