121results about How to "Reduce code rate" patented technology

A system and method for adapting code rate are provided. A method for a first communication device to transmit a resource assignment to at least one communication device includes assigning at least one transmission resource to transmit the resource assignment, adapting a code rate of an encoded payload based on the at least one transmission resource and a threshold, thereby producing an adapted payload, and transmitting the adapted payload.

The invention discloses a depth map intra prediction method based on a linear model. The gray values and coordinates of the previous line and left row of adjacent pixels of a current coded block are utilized to determine a linear model parameter; and according to the parameter and the pixel coordinate of the current coded block, the pixel gray value of the current coded block is predicted. According to the spatial character of a depth map, the depth map intra prediction method based on a linear model has the advantages of accurate prediction; meanwhile, because the previous line and left row of adjacent pixels of the current coded block are adopted to calculate the model parameter, a coding end does not need to code the model parameter; and a decoding end can directly determine the model parameter. The depth map intra prediction method can be applied to the coding standard of a three-dimensional video.

A method, in accordance with one embodiment, for adjusting a transmission rate of a network device for a transmission based upon network bandwidth utilization on a network comprising transmitting a data stream at a current transmission rate utilizing a first bandwidth allocation; receiving a transmission rate recovery request from a master device on the network; receiving an additional bandwidth allocation from the master device on the network when the current transmission rate is less than an original transmission rate; and transmitting the data stream at an increased transmission rate utilizing a total bandwidth allocation, the total bandwidth allocation including the additional bandwidth allocation and the first bandwidth allocation.

The invention discloses a space parameter quantification and entropy encoding method for a stereo voice-frequency signal, and a system structure thereof. Firstly, the space parameter quantification for the stereo voice-frequency signal uses different quantization tables in different frequency bands to perform the nonlinear scalar quantification by table search; then quantification indexes of each obtained space parameter are combined into a vector which executes a finite difference with the vector of the former quantification indexes; finally, the obtained finite difference quantification index vector acts the Huffman entropy encoding according to a Huffman code table corresponding to each present frequency band. The invention utilizes the dependency relationship between the hearing and esthesia of the space parameter and the frequency bands as well as the pertinency among the space parameters, thus the subjective and objective redundancy of the space parameter is effectively removed, the tone of the space parameter stereo code is enhanced under the same encoding rate, or the encoding rate is reduced under the same encoding tone.

A retransmission control method comprising: generating N parity check matrices; generating a generator matrix containing a check symbol generator matrix contained in the first parity check matrix; transmitting the codeword generated by using the generator matrix to another communications device; generating, when the communications device receives a NAK in response to the codeword, a first additional parity by using the second parity check matrix; and retransmitting the first additional parity to the another communications device.

The invention relates to a color attribute encoding method based on a TMC3 point cloud encoder. According to the TMC3 flow, the invention encodes the position information by using an octree structurewhile reserving the encoding sequence. After that, the centroid of the position information is calculated and kd-tree is used to find the point closest to the centroid as the first point in the detaillayer (LoD) generation process. The approximate color value and the predicted color information are differentially encoded. This method reduces the coding rate of color information by using the feature that the difference between the approximate color value and the predicted color value is reduced from the center of mass. The experimental results show that the invention achieves better effect than TMC3 in chromaticity information processing.

A method, in accordance with one embodiment, for adjusting a transmission rate of a network device for a transmission based upon network bandwidth utilization on a network comprising transmitting a data stream at a current transmission rate utilizing a first bandwidth allocation; receiving a transmission rate recovery request from a master device on the network; receiving an additional bandwidth allocation from the master device on the network when the current transmission rate is less than an original transmission rate; and transmitting the data stream at an increased transmission rate utilizing a total bandwidth allocation, the total bandwidth allocation including the additional bandwidth allocation and the first bandwidth allocation.

The invention discloses a method for processing a multi-viewpoint depth video. The method comprises the steps as follows: recombination conversion operation is executed aiming at the depth video; secondly, the converted depth video is smoothly processed in a time domain; thirdly, recombination conversion operation is executed aiming at the smoothly processed depth video to obtain a pretreated depth video; fourthly, coding compression, decoding recombination operation are executed aiming at the pretreated multi-viewpoint depth video; fifthly, depth recovery and null field smooth processing are executed aiming at decoded and recombined multi-viewpoint depth video; and lastly, a virtual viewpoint video image is mapped by the processed multi-viewpoint depth video. The method has the advantages that the pretreatment method can improve the time domain relativity of a depth video sequence, and further effectively improve the coding efficiency of the depth video; as for the situation of a code QP equal to 22, 27, 32 and 37, the coding efficiency can be saved by 17.07 percent to 38.29 percent, and the mapping quality of the obtained virtual viewpoint video image can be improved by about 0.05 dB.

The invention provides a coding-and-decoding device and related coder, wherein the code device is provided with a nonzero amplitude value coder, and the decoding device is equipped with a nonzero amplitude value decoder. After the code device completes encoding of zero significant bits, the nonzero amplitude value coder scans current block according to a predetermined manner, when scanning to nonzero significant bits, the nonzero amplitude value coder conducts encoding of the nonzero significant bits and continues the scanning-encoding process until scanning of the current block is completed; after the decoding device completes decoding of zero significant bits, the nonzero amplitude value decoder conducts decoding of nonzero significant bits according to the encoded mode of the nonzero amplitude value coder. The invention greatly reduces condition judging operations, comparison operations, arithmetical calculations, Boolean calculations and internal memory reading operations, and simplifies the coding-and-decoding process of significant bits; thereby the invention increases coding-and-decoding speed and decreases encoding code rate.

The invention relates to the technical field of audio frequency, in particular relating to spatial audio parameters prediction coding and decoding methods of a movable sound source and a system. The coding method provided in the invention comprises: inputting multichannel audio frequency signals; extracting spatial audio parameters from the input multichannel audio frequency signals; predicting the spatial audio parameters in the current frame according to the speed of the movable sound source; obtaining the spatial audio parameter prediction coefficient and the spatial audio parameter prediction residual error of the current frame; and coding the spatial audio parameter prediction residual error of the current frame and obtaining a code stream. The decoding method provided in the invention comprises: inputting the code stream; decoding the code stream and obtaining the spatial audio parameter prediction residual error; and rebuilding the spatial audio parameters of the current frame according to the speed of the movable sound source and the spatial audio parameter prediction residual error of the current frame. The invention can predict accurately the spatial parameter variation of the movable sound source according to the Doppler effect, kinematic principle, geometrical acoustics principle and fluctuation acoustics principle, the prediction error is small, and the coding rateis effectively reduced.

The invention discloses a three-dimensional video encoding method. The method has the advantages that: the encoding quality of an image is changed by changing a quantization parameter, thus changing the code rate of the image, so as to adapt to the changing of the network transmission bandwidth; under the condition of high bandwidth, a left-viewpoint basic-layer code stream, a left-viewpoint enhancement-layer code stream, a right-viewpoint basic-layer code stream and a right-viewpoint enhancement-layer code stream are transmitted at the same time, thus acquiring high-quality videos; under the condition of low bandwidth, however, only the left-viewpoint basic-layer code stream and the right-viewpoint basic-layer code stream are transmitted, a client can also normally decode and acquire low-quality videos, thus leading good network adaptability of the method; as an automatic three-dimensional display device can synthesize the video which is corresponding to the present viewing angle by the existing viewpoint video when the viewing angle is changed, namely the virtual viewpoint synthesis. The method leads an automatic three-dimensional display terminal of users to be capable of quickly realizing the virtual synthesis of multi-viewpoint images with low complexity by providing the parallax field code stream for the client, thus satisfying the requirement of real-time automatic three-dimensional displaying.

The invention discloses a video coding method and device, a terminal and a memory medium and belongs to the technical field of video processing. The method comprises the steps of obtaining a to-be-processed target video, wherein the target video comprises n target video frames which are arranged in sequence; carrying out target detection on an ith target video frame through adoption of a target detection model, thereby obtaining a target region in the target video frame; and carrying out video coding through utilization of a region of interest (ROI) coding algorithm according to the target regions corresponding to the n target video frames, thereby obtaining a coded target video. According to the embodiment of the invention, the target detection is carried out on the target video frames through adoption of the target detection model and the target regions namely ROI are dynamically determined along with the change of video images, so the terminal can carry out the video coding based onthe dynamically determined ROI through adoption of the ROI coding algorithm subsequently, the coding quality and stability of the target regions are effectively ensured, moreover, a coding rate of the target video is reduced, and the video coding efficiency is improved.

The invention discloses a depth video coding method on the basis of a foveal JND (just noticeable distortion) model. The depth video coding method comprises the following steps of: firstly, calculating the global JND of each pixel in each frame in a middle virtual viewpoint video obtained by carrying out middle virtual viewpoint rendering on color videos at left and right viewpoints and depth videos at left and right viewpoints; then, according to the global JND, obtaining a middle virtual viewpoint video subjected to geometrical offset; according to the geometrical offset, obtaining the maximum tolerable distortion video of the depth video at the left viewpoint; and finally, obtaining increasable coded quantization parameters of each macro block in each frame of the depth video at the left viewpoint according to the maximum tolerable distortion video. According to the method disclosed by the utility model, on the premise of maintaining the visual perception quality of virtual viewpoints, the encoding rate of the depth videos is effectively saved, the compressed coding efficiency of a depth video sequence is also greatly improved, and code streams can be saved by 11.00% to 23.34%.

The invention provides a novel method and device for estimating video compression noise through machine learning and a computer readable storage medium. Based on video features such as code rate, texture space gradient and motion time gradient of a video, compressed noise is estimated through a compressed noise estimation model, and preprocessing algorithm parameters in video preprocessing are adjusted in a self-adaptive mode according to the estimated compressed noise, so that effective compression of a video is achieved, and on the premise that the subjective quality is the same, the video coding rate can be greatly reduced; or under the same code rate, the subjective quality of the video can be greatly improved.

Through each own electronic communication device, sending client end and receiving client end carries out communication process with video service. Foreground frame of the sending client end segments video image frame shot and picks up detail part, and then foreground frame and background frame encodes video image frame and transfers it to the receiving client end. Since background frame is changeless before background is replaced, thus, the code of the background is needed to transferred to the receiving client end just once. In the invention, video frame is divided into foreground frame and background frame. Encoding and decoding foreground frame and background frame are carried out respectively. The invention realizes diversified video image frames providing high amusement effect. Features are: lowering encoded code rate, reducing operation quantity and limitation of communication bandwidth.

The invention provides a cramping method based on sampling technology under a transform domain. Internal smooth image areas are coded by utilizing sampling method under the transform domain and rebuilt with interpolation technology to substantially lower the coding bit rate. The image areas with complex internal patterns are coded with a conventional coding method based on JPEG cramping standard. The two coding methods are combined, and different coding strategies are employed for image areas of different types to realize highly efficient cramping of entire image signals. Compared with a conventional JPEG cramping method, the cramping method is highly flexible and efficient, and overcomes the defects of monotonous coding mode in conventional JPEG cramping method and low integral coding efficiency.

The invention discloses a global motion estimation method for the panorama video, which comprises the following steps that (1) each frame of panorama video is divided into 16*16 blocks which do not overlap; (2) a fast motion estimation method is used for estimating the local motion of the 16*16 macro blocks in the panorama video frame separately to acquire the motion vector aiming at the macro blocks; (3) a global motion estimation parameter model is established; (4) the method of Gauss and Newton Iteration is used for acquiring the motion parameters of the global motion estimation; (5) the global motion parameters of the present frame is transmitted and the global motion compensation is implemented at the decoding terminal. The invention has the advantages that a global motion estimation parameter model which is suitable to code the panorama video is designed aiming at the features of panorama video; compared with the traditional translational motion model, the invention can save more code rate, and at the same time, the subjective coding quality is better.

The invention relates to a multi-viewpoint video encoding and viewpoint synthesis predication method based on least square. The multi-viewpoint video coding and viewpoint synthesis predication method comprises the following steps of: firstly, finding out a corresponding pixel of a current pixel point of a virtual viewpoint frame in a reference viewpoint frame through three-dimensional conversion; then, taking the obtained corresponding pixel in the reference viewpoint frame as a predicated pixel of a current pixel of the virtual viewpoint frame; then, utilizing a previously decoded frame and a virtual viewpoint frame thereof to be trained by least square to obtain a predicated coefficient; then, carrying out linear estimation on a pixel value of the predicated pixel according to the obtained predicated coefficient to obtain the pixel value of the current pixel, and carrying out the same operation on each pixel to finally obtain the virtual viewpoint frame; and finally, adding the generated virtual viewpoint frame into a reference frame list and encoding a frame to be encoded of a current viewpoint by an encoder according to the reference frame list. According to the multi-viewpoint video coding and viewpoint synthesis predication method disclosed by the invention, the quality of a synthesized viewpoint is enhanced by utilizing information in the viewpoints and among the viewpoints at the same time; and the multi-viewpoint video encoding efficiency based on viewpoint synthesis predication is improved.

The invention discloses a variable length coding method which comprises the following steps: nonzero coefficient number and number of coefficients the amplitude of which is larger than one in the prior block are computed; entry bit streams of the statistic nonzero coefficient number are coded; entry bit streams of various nonzero coefficient symbols in the prior block and corresponding zero coefficients before nonzero coefficients are coded; moreover, entry bit streams of the statistic number of coefficients the amplitude of which is larger than 1 are coded; entry bit streams of amplitudes of the corresponding nonzero coefficients in the prior block are coded. Correspondingly, the invention also discloses a corresponding variable length decoding method and a variable length codec. The invention can further improve coding efficiency of entropy coding and at the same time the coding process is based on a simpler code list structure, thereby complexity of switching computation is lowered and occupancy of memory space is reduced.

The invention discloses a method for coding a session video by combining the time domain dependence of a face region and global rate distortion optimization. The distortion of a face region of interest (ROI) and diffusion influence thereof are estimated in advance by utilizing the time domain dependence of the face ROI between adjacent coded fames in the same group of pictures (GOP), and an effective auxiliary means is provided for optimal motion vector and mode division and selection. According to the method, the optimization of a coded unit of the face ROI is particularly emphasized from an overall point of view, so that the subjective and objective quality of the coded unit of the face ROI and subsequent coded units taking the coded unit of the face ROI as a reference is well ensured, additional bit overhead caused by the distortion diffusion in the conventional coding process is avoided, and on the premise of maintaining or improving the subjective and objective quality of a coded picture, the coding rate of the session video is effectively decreased, and coding performance is improved; and the method is completely compatible with the conventional sequential coding structure, and is applied to application places such as video storage, real-time video coding with requirements on real-time performance of more than a GOP delay, and the like.

The invention discloses a video compression method and system based on super-resolution. the segment-by-segment training of a mapping relation is carried out after a down-sampling video is segmented in a coding stage, and a sparse dictionary, a projection matrix and a video are transmitted together; in the decoding stage, the unique mapping matrix of each video segment is utilized to restore the low-resolution video to the original size through super-resolution, so that the requirements for bandwidth and storage are reduced, and the requirement for watching the high-resolution video is met. Onthe basis of the existing video compression coding standard, the coding code rate is greatly reduced by using the super-resolution technology through the internal information of the video, and meanwhile, the subjective quality of the decoded video is ensured as much as possible.

Methods and apparatus for transmitting and receiving data over a physical channel using a polar code are provided. The polar code defines a plurality of virtual channels within the physical channel and allocates a subset of the virtual channels for the transmission of data. Each of the subset of virtual channels for the transmission of data are mapped to respective bits of a block of data to be transmitted. The method for transmitting data: receives a block of data to be transmitted; receives additional data to be transmitted together with the block of data; selects one or more of the virtual channels which are allocated for the transmission of data as being channels for transmitting the additional data; determines a scrambling sequence based on the additional data; applies the scrambling sequence to those bits of the block of data which map onto the one or more virtual channels for transmitting the additional data to generate a scrambled version of the block of data; and transmits the scrambled version of the block of data according to the polar code, wherein error detection data is also transmitted which enables the detection of errors in the block of data. The method for receiving data: receives a scrambled version of a block of data, wherein error detection data is also received which enables the detection of errors in the block of data; identifies one or more of the virtual channels which are allocated for the transmission of data as being channels on which additional data has been transmitted, wherein the scrambled version of the block of data is formed by scrambling the bits of the block of data which were transmitted on those channels using a scrambling sequence which is based on the additional data; generates one or more hypotheses as to the scrambling sequence which has been applied to the channels on which the additional data has been transmitted; tests each of the one or more hypotheses to identify a correct hypothesis by descrambling the scrambled version of the block of data according to each hypothesis and using the error detection data to determine whether any errors are present in the descrambled block of data, wherein the correct hypothesis is one for which no errors are present in the descrambled block of data; and determines the additional data that has been transmitted based on the correct hypothesis of the scrambling sequence that has been applied to the channels on which the additional data has been transmitted.

The invention discloses a cloud-containing remote sensing image compression method based on a filling strategy, and mainly solves the problems that in the prior art, the edge of a filled cloud regionstill has more high-frequency information, and the coding consumption is higher. According to the scheme, the method comprises the steps of carrying out boundary extension on an input cloud-containingimage and an input cloud mask image; calculating an approximate median of a region of interest in the cloud-containing image; obtaining a gray mask of a marked cloud region and a gray image of the edge of the marked cloud region; calculating a pixel mean value in the edge of each cloud region and filling the corresponding cloud region; carrying out edge mean filtering on the filled image; performing level shifting on the filtered image by using the approximate median of the region of interest to obtain a preprocessed image; encoding the preprocessed image to obtain a compressed code stream, and sending the compressed code stream to a receiving end; and the receiving end decoding the received code stream to obtain a restored image. The method can effectively reduce the coding rate of the cloud region, improves the recovery quality of the region of interest, and can be used for the transmission of various cloud-containing images.

The invention belongs to the technical field of image compression, provides a color image compression method based on interpolation reconstruction and is used for overcoming the problem that in a traditional color image compression and coding technology, downsampling interpolation reconstruction of chrominance components is distorted obviously. According to the compression method provided by the invention, the chrominance components are filtered through utilization of a provided adaptive filter based on interpolation compression, a bit rate is greatly reduced, moreover, the relatively much prior information for the interpolation reconstruction of the chrominance components of a decoding end is provided, the interpolation quality is high, and the color fidelity of a finally synthesized RGBcolor image is high. According to the method, the coding bit rate is effectively reduced, and further the integrated coding efficiency of the color image is further improved.

The invention provides a high-efficiency image compression method based on a spatial domain downsampling mode. Through an image macro block, the interior of which is relatively smooth, the method based on the spatial domain downsampling is used for coding, and the interpolation technology is used for reconstruction, thereby greatly reducing the coding rate under the condition of guaranteeing the coding fidelity. Meanwhile, for an image macro block, the internal texture of which is relatively complex, a conventional coding method based on a JPEG image compression standard is employed for guaranteeing the high-efficiency coding of the image macro block. A conventional image compression method neglects the characteristic differences among different regions in an image, so the conventional image compression method cannot effectively remove correlation among pixel points, and causes the low overall coding efficiency. The method achieves the implementation of different coding strategies for the image macro block with different characteristics in a segmented manner, and achieves the high-efficiency coding of the whole image.

The invention discloses a method and system for determining an audio coding rate, a coding method, a storage medium and equipment, and belongs to the technical field of audio coding. The method for determining the audio encoding rate comprises the steps of acquiring a first normalized autocorrelation value of a current audio frame in a long-term post-filter of an encoder; determining a first coding rate corresponding to the current audio frame according to the first normalized autocorrelation value; obtaining a second normalized autocorrelation value of the current audio frame; and updating the first coding rate according to the second normalized autocorrelation value, and determining a coding rate corresponding to the current audio frame according to an updating result of the first codingrate. According to the invention, the corresponding encoding rate is determined according to the autocorrelation characteristic of the current audio frame to encode the current audio frame, the encoding rate in the encoding process is reduced, and the waste of the code rate is avoided.

The invention provides a low-bit-rate image compression method based on intelligent quantization technology. On the premise of low-bit-rate compression, the coding is carried out by means of the intelligent quantization technology for the internally smoothing image blocks, and the reconstruction is carried out through the combination with the interpolation technology, on the premise of controlling the coding distortion, the coding rate is effectively reduced; and meanwhile, for the image blocks having complex internal textures, a conventional coding method based on the JPEG image compression standard is adopted to guarantee the efficient coding of the image blocks. The efficient coding of the whole image can be realized by adaptively selecting different coding strategies for image blocks with different texture features. Compared with a conventional JPEG image compression method, the low-bit-rate image compression method can overcome the defect of single coding mode in the conventional JPEG image compression method.