50results about How to "Fast encoding" patented technology

Essentially all of the processing parameters which control processing of a source audio signal to produce an encoded audio signal are stored in an audio processing profile. Multiple audio processing profiles are stored in a processing profile database such that specific combinations of processing parameters can be retrieved and used at a later time. Audio processing profiles are organized according to specific delivery bandwidths such that a sound engineer can quickly and efficiently encode audio signals for each of a number of distinct delivery media. Synchronized A/B switching during playback of various encoded audio signals allows the sound engineer to detect nuances in the sound characteristics of the various encoded audio signals.

The invention discloses a coding mode selection method for HEVC (high efficiency video coding). The method comprises the step of prejudging CTU partition mode, CU coding mode and PU interframe coding mode in the HEVC according to the space and time domain features in the current coding image content, so the traverse quantity in the mode selection in an HEVC frame is reduced. The HEVC efficiency is improved under the premise of not influencing the image coding quality. The code stream output by the method accords with the HEVC standards, the coding mode selection can be realized by further combining the perception characteristic of the vision of a human eye, and the subjective quality of the coded image is improved.

This invention discloses a video encoding method for encoding P frames and B frames using I frames. The video encoding method includes: I frame encoding process, which generates encoded I frames and compressed I frames by intra encoding; and P and B frame encoding process, which generated encoded P frames and B frames using aforementioned compressed I frames.

The invention relates to a high-speed LDPC code coder and a coding method thereof, belonging to the technical field of mobile communication channel coding. The coder comprises a primary and a secondary coding circuits, a temporary storage module and a control module. The primary and the secondary coding circuits each include a feedback shift register and an exclusive or gate. The primary coding circuit may obtain an intermediate vector based on a check matrix and an information bit. The temporary storage module is a register bank. The coder is characterized in that the output ends of two branches of primary circuits are connected with the register input ends of two branches of temporary storage modules; the output end of the register in the temporary storage module after passing through the control module is connected with the input end of the feedback shift register of the secondary coding circuit; and the secondary coding circuit obtains a check bit based on the intermediate vector and the check matrix. The method realizes coding by directly using the information of the check matrix, wherein the intermediate vector is obtained firstly and then the check bit is obtained based on the intermediate vector and the information in the check matrix. The method has high coding efficiency and can be widely applied to the technical field of the mobile communication channel coding.

The invention provides an information correlation based opportunistic network data distributing method. The method comprises the following steps: dividing regions of an electronic map carried on a vehicle through specifically defined information format, abstract bus routes and station information, and simultaneously carrying out binary coding on the regions based on the division; ensuring that each route station acquires a unique code; summarizing interest information to form a vehicle interest list; calculating the correlation of social information through the interest list to drive information distribution; and transmitting the information to the region which is interested in the information. The method acquires priori knowledge through an active studying mode by using the characteristics of fixed bus routes and stable people interests in the region, drives data oriented distribution by using accumulated knowledge, improves the hit rate of information querying, and simultaneously reduces network load and message distribution delay.

The invention discloses an image scene classification method based on multi-characteristic fusion; the method comprises the following steps: firstly extracting image GIST characteristics, SIFT characteristics and PHOG characteristics; carrying out local constraint linearity coding for image SIFT characteristics, and pooling SIFT characteristic sparse coding so as to obtain a sample image SIFT characteristic sparse vector; cascading the sample image GIST characteristics, SIFT characteristics and PHOG characteristics so as to form the sample image final characteristic expression, and inputting the sample image final characteristic expression into a linear classifier for training; using said method to extract image expressions from to-be-classified images, and inputting the image expression into a trained linear SVM classifier so as to finish the classification work. The method can improve the classification precision, and can enhance the system robustness.

The invention relates to a real-time fine granularity scalable encoding method based on H.264. According to the overall situation of current residual frames and the local distribution of current residual blocks, the invention finds singular points from the global analysis, makes the bit plane number wholly equilibrated through downward shift of the singular values, and makes corresponding upper shift at the decoding end; the invention determines all-zero blocks from the local analysis. The invention will use a 4*4 whole number transformation in the reinforced layer conversion fraction during encoding. Compared with the general FGS method, the complexity in the invention is obviously reduced, the video quality is higher, and the overall PSNR (peak signal noise ratio) change is smoother. Evidenced by experiments, compared with the FGS method of MPEG-4, when keeping a close code rate, the invention can increase the average brightness PSNR by 0.37dB, and increase the average encoding speed by 13.86fps, namely by 97 percent.

The invention relates to a polarization encoding (PE) method based on a semiconductor optical amplifier (SOA) and a device thereof. The method uses the SOA to conduct polarization rotation, and realizes polarization encoding with power equilibrium by using the following three methods: (1) realizing power equilibrium through single channel attenuation by encoding with an electric control manner; (2) realizing polarization encoding with power equilibrium by using an optical-electric synchronous control manner; and (3) realizing power equilibrium through single channel attenuation by encoding with an optical control manner. Three corresponding polarization encoders are formed by using an orthogonal polarization encoding method based on the three encoding control methods. In the orthogonal polarization encoding method, S polarization state represents logic zero, and P polarization state represents logic one, and the powers of two orthogonal polarization optical pulses are same. The polarization encoders formed by using the inventive method have much faster encoding speed than conventional polarization encoders, and have the advantages of simple structure, convenient operation, and high practicability.

A method for controlling access of a computer to user data that are stored in a memory device includes calling up structure data of the memory device, by means of a BIOS, and accessing the user data on the basis of the structure data. The structure data are only transmitted to the BIOS after authentication of a user. There is a control device for controlling access to user data. Structure data of the memory device can be called up by a controller, on the basis of which the user data are accessible. A user can be authenticated upon a request for the structure data and transmission of the structure data is controlled by the control device. When a request for structure data is issued, an authentication routine for authenticating the user is first transmitted by the control device to the BIOS, and carried out on the computer.

The invention discloses a distinguishability self-adapting node tree encoding method of a JPEG (joint photographic experts group) 2000. The distinguishability self-adapting node tree encoding method comprises the following steps of: (1) inputting a coding parameter; (2) outputting coding block information; (3) controlling circulation; (4) depositing node information of all levels of the current sub belts; (5) judging whether the current sub belt contribution finishes; (6) carrying out current contribution; (7) carrying out current sub belt coding; and (8) storing a code result after separation. The encoding method provided by the invention can carry out compressed encoding of a distinguishability image at will in a certain scale in a self-adapting manner, and uses each level father node sole stored manner in a contribution manner; and a coordinate value of a leaf node during encoding is utilized to calculate the stage number when initiating encoding, an address calculation method is simplified, the defects that a clock resource is wasted because whether a labeling node is encoded are overcome, and the coding efficiency is improved. The distinguishability self-adapting node tree encoding method provided by the invention is used for compressed encoding of different digital image chips.

The invention relates to a Kalman filtering-based method for signal reconstruction in complex environments and solves the problems of high computation complexity and low efficiency in the prior art. The method comprises the steps of performing quick compression on signals, designing a sparse measurement matrix and obtaining measurement values through compression measurement in a complex environment; establishing a prior model of the signals, inputting the sparse rate of a signal and establishing the prior model of the signal; performing a belief propagation calculation on a bipartite graph; obtaining initial values of signal estimation by using approximate MMSE estimation; obtaining signal estimation values by using Kalman filtering. The simple sparse measurement matrix is used and the storage of the measurement matrix is simplified; during signal reconstruction, the bipartite graph and the Kalman filtering-based signal estimation method are used, so that a coding processing of compressive sensing is simplified and the reconstruction precision is improved.

The invention discloses an image reconstruction system based on cross array of memristors, including an image input processing module, a sparse encode module and an image output processing module, wherein the sparse encoding module comprises a first memristor cross array, a calculation conversion unit and a second memristor crossover array. The system realizes the image pixel dictionary set through two memristors crossing arrays, and the sparse coding is performed based on the two memristor crossover arrays to realize image reconstruction. Because the memristor consumes very little power, theoverall power consumption of the system is reduced compared with the existing schemes. In addition, the memristor processes data quickly, and the size of the nano-memristor cross-array is small, whichis easy to integrate, and the important vectors in the sparse coding can be realized efficiently and conveniently, so that the coding speed is faster, the efficiency of the system is improved, but also a valuable reference direction is provided for large-scale hardware implementation.

The invention belongs to the field of image recognition and aims to provide a quick and effective large-scale target identification method based on a mobile platform for mobile platform search, and the method can be used for quickly and effectively encoding SIFT (scale invariant feature transform) characteristic points into binary codes with a function of keeping local sensitivity by a Hash algorithm. The method comprises the following steps: obtaining label information of SIFI characteristics X of a database image, wherein the label information consists of '0' and '1'; defining normalized distance similarity and quantization errors; searching a binary label of a data point with minimum value of the sum of NS and MD; obtaining weak Hash functions; combining the weak Hash functions to obtain a strong Hash function. The method is a quick and effective mobile platform search method; the search scheme of mobile equipment can be adjusted according to network conditions, so that responses can be given in time under different network conditions.

The invention discloses a transmission control method based on random linear network coding and mainly solves the problems of large time delay of a transmission control protocol (TCP) under a high-bit error rate link and decrease of throughput. The transmission control method comprises the following realization steps: (1) adding network coding (NC) layers between a transmission control protocol layer and an internet protocol (IP) layer which are respectively at the transmitting end and the receiving end; (2) performing grouping random linear network coding on data packets of the transmission control protocol through the network coding layer at the transmitting end and transmitting to the internet protocol layer at the local end; (3) receiving the coded data packets from the internet protocol layer at the local end through the network coding layer at the receiving end, wherein the data packets are subjected to response and grouping decoding in sequence and are submitted to the transmission control protocol layer. According to the transmission control method, the network throughout capacity under the high-bit error rate link is effectively improved, and the effect of round-trip delay of the link on the transmission control protocol performance is reduced.

A method, system and device for multi-user joint detection in a relay and cooperative communication are disclosed, wherein the method includes the following steps: user terminals transmit modulated signals to a relay node and a destination node; the relay node performs a symbol-layer demodulation to the modulated signals received from the multiple user terminals by means of demodulating only one symbol of each user terminal every time, obtains the demodulated estimation sequence of data signals of the multiple user terminals, performs a convolutional encoding and outputs the checking data which are transmitted to the destination node after modulation; the destination node performs a symbol-layer demodulation to the modulated signals received from the multiple user terminals by means of demodulating only one symbol of each user terminal every time, demodulates the checking data modulated by the relay node, performs a decoding after combining the demodulated checking data with the demodulated data of the multiple user terminals, and outputs the decoded data.

The invention discloses a video-based fast dynamic point cloud coding method and system, and the method comprises the steps: obtaining a coding tree unit of a video frame, determining the block type of a CU through calculating an occupation graph in the coding tree unit, and enabling the CU to represent a coding unit; traversing the coding tree units by using a fast coding mode decision scheme todetermine a coding mode; and using the fast coding decision scheme for determining a coding mode in a mode of selectively skipping blocks by utilizing rate distortion optimization characteristics of different block types. The method has the advantages that compared with the prior art, the rate distortion optimization characteristics of different block types are researched to accelerate the encoding of geometric and attribute videos, so that the encoding efficiency is greatly improved; and the method has the characteristics of high encoding quality, high encoding speed and the like.

The invention relates to an improved fractal coding image compression algorithm based on a dictionary, which belongs to the field of image compression and processing. Considering that the traditional fractal coding method takes a long time to encode, every time an image is encoded, a dictionary (also known as a codebook) must be regenerated on the basis of the original image. Different images have different dictionaries. Even for the same image, different segmentation methods are also To generate different dictionaries, the present invention adopts the fixed dictionary method to carry out fractal coding for the above problems, and improves the fractal coding algorithm from three aspects of dictionary generation, expansion and classification. The algorithm proposed by the invention has a faster encoding speed, and only one iteration is needed for decoding, which has an extremely fast decoding speed. In terms of compression ratio, it has significantly improved compared with previous algorithms.