113results about How to "Guaranteed coding quality" patented technology

The invention discloses an HEVC intra-frame prediction quick mode selection method based on texture analysis. According to the method, before intra-frame prediction is carried out on an encoding tree unit, the main texture direction and the texture complexity of each 4*4 unit in the encoding tree unit are determined according to the sum of absolute values of gradients in the horizontal direction, the vertical direction, the lower left direction and the lower right direction, and division of the current encoding tree unit is determined according to the principle that a larger encoding unit is adopted in a texture smooth area and a smaller encoding unit is adopted in a texture complex area. During prediction, according to the main texture direction of the prediction unit, a plurality of prediction modes with least probability are eliminated, and rough mode selection and rate-distortion optimization mode selection are carried out according to an HEVC encoding standard. According to the HEVC intra-frame prediction quick mode selection method based on texture analysis, on the premise that encoding quality is guaranteed, the encoding speed can be obviously improved.

A joint estimation method for movement and parallax error in multi-view video coding of the invention has the following steps: 1. taking parallax error vector and movement vector of image corresponding block of same view and adjacent moment as the initial value of the current coding block parallax error vector; 2. comparing the initial value with the prediction vectors of coded adjacent blocks respectively, and selecting the optimal prediction vector as the search initial point according to the match error minimum rule; and 3. combining geometric relationship between the movement vector and parallax error vector of adjacent images, estimating and obtaining a candidate from a previous movement / parallax error to perform the next movement / parallax error, correcting the current movement and parallax error vector continuously until obtaining the optimal movement vector and parallax error vector of the current coding block. The method only needs one time search process to simultaneously confirm the optimal movement vector and parallax error vector. Compared with full search algorithm, the peak SNR of the invention reduces not more than 0.09dB, code rate bits are slightly saved, code rate ranges between minus 14.20% and 0.60% and coding time is saved by over 90%.

The invention provides a depth map sequence fractal coding method based on motion vectors of a color video. The method includes the steps that firstly, the color video is coded through a fractal video compression method; secondly, the color video is decoded through a fractal video decompression method so as to acquire the motion vectors of all macro blocks of the color video and the motion vectors of all small blocks of the color video; thirdly, for coding of frames I in a depth map sequence, a smooth block is defined based on the H.264 intra-frame prediction coding method, and for smooth blocks, the values of adjacent reference pixels are directly copied while various predication directions do not need traversing; fourthly, for coding of frames P in the depth map sequence, block motion estimation / compensation fractal coding is carried out, predication on motion vectors of macro blocks of frames of the depth map sequence is carried out according to the correlation between the motion vectors of the macro blocks of the frames of the depth map sequence and the corresponding motion vectors of the macro blocks of the color video, an enhanced non-uniform multilevel hexagon search template is designed to replace an original non-uniform cross multilevel hexagon search template in the UMHexagonS, the most similar matching blocks are searched for through the improved UMHexagonS, and fractal parameters are recoded; fifthly, residual frames of the frames I, residual frames of the frames P and the fractal parameters of the frames P are compressed through CABAC entropy coding.

The invention discloses a video bitrate control method based on frame loss and quantization parameter adjustment. After each frame of video content is coded by a coder, whether coding of the next frame needs to be skipped over or not is judged according to the bit number generated by the frame, quantization parameters used by the frame, the buffer state and accumulated more-consumed bit number information; if it is determined that the next frame needs to be coded, the target bit number of the next frame is calculated, and quantization parameters which should be used by coding of the next frame are calculated through a certain method, the next frame is coded, and compared with a traditional bitrate . QP model, the method is accurate and reliable, so that it is ensured that the output bitrate of the video coder is matched with a channel bandwidth, coding quality is ensured, and the method has the good application prospect.

The invention provides an artificial intelligence tagging method and system. According to the invention, a commodity code is imparted to a commodity and is not printed; a traditional process such as forme-based printing is used to print a natural, two-dimensional and random personalized characteristic pattern on each commodity; personalized characteristic information is collected, and the commodity code is imparted; the personalized characteristic information and the commodity code are associated and stored in a preset database; a client scans the personalized characteristic pattern on the commodity; an artificial intelligence image recognition technology is used for retrieving to acquire the commodity code from the database; tagging of a digital printing machine is not used; a digital printing process is eliminated; the tagging cost can be reduced; the personalized pattern is printed, and the commodity code method is associated to innovatively realize commodity tagging; and non-digital printer artificial intelligence tagging is innovatively proposed.

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 quick HEVC (High Efficiency Video Coding) inter-frame prediction mode selection method. After coarse selection of inter-frame prediction modes, the statistical property of Hadamard transform-based cost values corresponding to the coarsely selected inter-frame prediction modes is fully utilized, and the correlation of the video texture direction and an inter-frame prediction mode angle are fully considered; for prediction unit types of different sizes, the inter-frame prediction modes after the coarse selection are quickly screened through a threshold value method or the continuity of the coarsely selected inter-frame prediction modes is calculated to reflect the texture direction of the prediction unit, so that the unnecessary coarsely selected inter-frame prediction mode is screened without introducing more extra calculation; in a verification process of the most possible prediction mode, the correlation of the coarsely selected inter-frame prediction modes and the most possible prediction mode and the space correlation of a video image per se are fully considered, the final optimal inter-frame prediction mode is quickly obtained, and the inter-frame coding complexity is reduced on the premise that the video coding quality is guaranteed.

The invention discloses a coding optimization method for a high-definition video, and the method comprises the steps: prejudging the size of a current prediction unit: obtaining candidate prediction modes through steps 1)-3) for the coding of the prediction unit if the size of the current prediction unit is greater than a threshold value, or else obtaining candidate modes of the prediction unit through employing a sobel operator for the coding of the prediction unit; 1), dividing direction modes in prediction modes into a plurality of groups, selecting one representative mode from each group, taking the non-direction modes as one group and selecting one representative mode; 2), carrying out the rough mode selection cost value calculation of each representative mode, and obtaining a rough mode selection cost value HSAD of each representative mode; 3), selecting a plurality of representative modes with the minimum HSAD, carrying out the rough mode selection cost calculation of other prediction modes in a group where each representative mode is located, obtaining the HSAD of the corresponding prediction mode, and selecting a plurality of prediction modes with the minimum HSAD as the candidate prediction mode.

The invention discloses an ultrahigh-resolution video-oriented coding unit partitioning optimization method. The method comprises the following steps: respectively setting a corresponding image texture complexity threshold value for each of coding units of different sizes; for each coding unit i, calculating a difference value between each pixel in the coding unit i and a pixel mean value of the coding unit i, and taking a sum of all the difference values as an image texture complexity of the coding unit i; if the image texture complexity of the coding unit i is less than or equal to the imagetexture complexity threshold value corresponding to the coding unit i, taking the coding unit i as an optimal coding unit, and outputting the optimal coding unit; otherwise, dividing the coding uniti, calculating the image texture complexity of each divided coding unit, if the image texture complexity is less than or equal to the corresponding image texture complexity threshold value, taking thecoding unit as the optimal coding unit, and outputting the optimal coding unit; otherwise, continuously dividing the coding unit; and when a depth value h reaches a set threshold value, determining the optimal coding unit by adopting an HEVC (High Efficiency Video Coding) algorithm, and outputting the optimal coding unit.

The invention discloses a low-complexity video coding method based on random training set adaptive learning. The low-complexity video coding method includes a learning coding method and a rapid coding method. The low-complexity video coding method comprises the following steps: firstly, grouping video sequences according to frame rates, wherein first two frames in each group of video frames are learning coding frames for parameter learning, and subsequent frames are rapid coding frames; optimizing a CU (Coding Unit) partition method and a PU (Prediction Unit) partition method of video coding according to video coding parameters obtained according to the learning coding frames; during CU partition, ending partition of non-minimum-size CUs in advance or skipping rate distortion calculation of a current CU for direct partition; and during intra-frame prediction, judging a partition mode of a PU corresponding to a minimum-size 8x8 CU in advance or skipping rate distortion calculation of a current PU and directly judging the partition mode of the current PU. Through adoption of the low-complexity video coding method, the complexity in CU partition judgment and PU partition judgment in HEVC (High Efficiency Video Coding) is lowered greatly. The HEVC efficiency is increased effectively on the premise of keeping the coding quality.

The invention discloses a fast screen content coding method based on spatiotemporal correlation. According to the fast screen content encoding method disclosed by the invention, a CU division module based on spatiotemporal correlation firstly calculates an absolute frame difference between a current frame CU and the CU at the same position of a previous frame and divides the CUs into two categories; then the CU division module based on spatiotemporal correlation judges that the current CU terminates division in advance or judges that the current CU only performs PLT mode prediction according to the correlation between the current frame CU and a spatiotemporal adjacent CU of the current frame CU on depths and intra-frame prediction modes; a mode selection module based on spatiotemporal correlation skips a specific prediction mode by means of the mode correlation between the current CU and the spatiotemporal adjacent CU of the current CU; and a CU division module based on coding bits firstly obtains the threshold of a CU coding bit under each depth via a CU hit rate and a curve chart of the coding bits, and terminates the CU division in advance if the coding bit of the current CU issmaller than the threshold. By adoption of the fast screen content coding method disclosed by the invention, the CU division complexity is reduced, the selection process of the intra-frame predictionmodes is simplified, and the SCC coding efficiency is improved.

An embodiment of the invention discloses a method and a device for determining image compensation modes. The method includes acquiring texture features of a plurality of pixel blocks of current to-be-processed pixel units from current video frames; screening edge compensation modes for the current to-be-processed pixel units among candidate edge compensation modes according to the texture features of the multiple pixel blocks to obtain the optimal edge compensation modes for the current to-be-processed pixel units.

The invention discloses a fast iterative search algorithm for stereo video coding, which is characterized in that a stereo-motion constraint model is defined according to the relation between the motion vector and disparity vector of the stereo image pair of the adjacent images of the left viewpoint and right viewpoint of a stereo video. The fast iterative search method for stereo video coding comprises the following steps: initializing, adjusting the RSR (rank sum ration) of an amending search window, carrying out iterative search, and suspending: calculating the initial motion vector and initial disparity vector of a current module by adopting an iterative search strategy, and designing the adaptive amending search window according to the error of the stereo-motion constraint model to amend the motion vector and disparity vector of the current module so that the optimum motion vector and optimum disparity vector of the current module can be finally predicted rapidly. Compared with the traditional full search algorithm, the fast iterative search algorithm provided by the invention can ensure the coding quality and save the coding time by over 96 percent.

The invention discloses a 3D-HEVC interframe coding merge mode fast decision making method. Firstly, a CU needing to be coded is extracted from a texture map of a non-independent viewpoint; secondly, the merge mode and a merge-skip mode are examined by the current CU in a 2N*2N dividing mode; thirdly, whether the frame where the current CU is located is a frame P or frame B is judged; fourthly, if the obtained result is the frame P, whether the number of the dividing layers of the current CU is three or not and whether the dividing layers meet the condition a and the condition b at the same time or not are judged; fifthly, if the obtained result shows that the frame where the current CU is located is the frame B through the judgment in the step 3, five reference blocks of the current CU in the viewpoint direction are determined through the parallax error vector (DoNBDV) obtained through adjacent blocks, and the five reference blocks include the corresponding block in the viewpoint direction and the four adjacent blocks of the corresponding block; whether the current CU meets the condition c and the condition d at the same time or not is judged. According to the 3D-HEVC interframe coding merge mode fast decision making method, under the premise that the coding quality is ensured, the total coding time is saved by 6.5 percent averagely, and the non-independent viewpoint texture map coding time is saved by 20.4 percent averagely.

The invention provides a commodity virtual tagging method and system based on a personalized pattern, and the method and system gives a code to a commodity without printing. The method comprises the steps: employing the conventional plate-based printing technology for printing a natural two-dimensional random personalized feature pattern on each commodity; collecting the personalize feature information, and giving codes to commodities; enabling the personalized feature information and the codes of the commodity to be correlated and stored in a preset database, scanning the personalized feature patterns on the commodities through a client, and searching and obtaining the codes of the commodities from the database. The method does not employ a digital printer for printing codes, does not need the digital printing process, and can reduce the code printing cost. Through the printing of the personalized patterns and correlating the codes of the commodity, the method achieves the code printing of the commodities in another way, and opens up the new code printing without the digital printer.

The invention provides a HEVC inter-frame prediction mode fast judgment method based on zero block distribution for the inter-frame prediction process. The method is applied to the inter-frame PU prediction mode judgment, and comprises the following steps: sufficiently utilizing the zero block distribution information in a residual block after performing the transformation and quantization on the CU block; analyzing to obtain the zero block number contained in the CU and the zero block distribution feature by counting a series of video sequences that the image texture becomes complex from the simple; performing classification screening on the PU prediction mode according to the relevance between the zero block number contained in the CU and the zero block distribution feature and the PU prediction mode, thereby maximally improving the coding efficiency while maximally guaranteeing the coding quality. The algorithm complexity can be greatly reduced, and the zero block can be precisely judged, and the algorithm accuracy is improved.

The embodiment of the invention discloses a coding mode selection method, a device and a coder. The method comprises the steps of obtaining candidate dividing methods of coding layers from all dividing methods of the coding layers through a quick RDO (Rate Distortion Optimization) algorithm for each coding layer of a coding unit, and determining optimum dividing methods of the coding layers from the candidate dividing methods through an RDO algorithm; selecting an optimum coding mode of the coding unit according to RDCost (Rate Distortion Cost) corresponding to the optimum dividing method of adjacent coding layers. Since the candidate dividing methods are obtained by adopting the quick RDO algorithm within the same coding layer in the embodiment of the invention and the computation complexity of the quick RDO algorithm is lower than the computation complexity of the RDO algorithm, the computation resource overhead of the coder can be saved; and between the adjacent coding layers, since the optimum coding mode of the coding unit can be selected still through the RDO algorithm, the mode selecting efficiency of the coder is improved and the coding quality can also be guaranteed.

The invention discloses an intra-frame coding method based on HEVC. The method includes the steps that first, the sizes of the left bock, the upper left block and the upper block of a current coding block are acquired, if the sizes are all two or three, the size of the current coding block is set to be two or three, and the third step is executed, or else the second step is executed; second, according to probability, the number of modes in an RMD candidate queue is reduced; third, if the size of a predicted block is 32*32 or 16*16, the fourth step is executed, or else the fifth step is executed; fourth, RMD is performed, and the ninth step is skipped to; fifth, the degree of similarity of the RMD candidate queue to a candidate queue of a parent predicted block is judged, if the RMD candidate queue is similar to the candidate queue of the parent predicted block, the sixth step is executed, or else the seventh step is executed; sixth, the optimal mode of the parent predicted block serves as the optimal mode of the current predicted block, and the ninth step is executed; seventh, mode filtration is performed on the RMD candidate queue; eighth, the processed RMD candidate queue is grouped; ninth, RDO is performed.

The invention discloses a video coding method, device and equipment and a storage medium, and belongs to the field of video processing. The method comprises the steps that through the technical schemeprovided by the embodiment of the invention, the terminal can determine whether to divide the to-be-coded unit or not according to the texture similarity degree between at least two sub-blocks obtained by pre-dividing the to-be-coded unit and the to-be-coded unit. And Wwhen the similarity degree between the at least two sub-blocks and the to-be-coded unit is relatively high, the terminal determines not to divide the to-be-coded unit. Therefore, the terminal does not need to traverse all modes for dividing the to-be-coded units, and only needs to divide the to-be-coded units with lower similarity with the sub-blocks, so that the number of the sub-blocks is reduced, the coding complexity is reduced, and the coding time is reduced under the condition of ensuring the video coding quality.

The embodiment of the invention discloses a decoding method which comprises the following steps: acquiring CNG parameters of a first frame of a first superframe from a speech coding frame at the frontof the first frame of the first superframe; carrying out background noise decoding to the first frame of the first superframe according to the CNG parameters, wherein the CNG parameters comprise target excitation gains and LPC filter coefficients, wherein the target excitation gains are determined by fixed codebook gains quantized by the long-term and smooth speech coding frame, and the LPC filter coefficients are defined by LPC filter coefficients quantized by the long-term and smooth speech coding frame. The invention also discloses a decoding device. By utilizing the embodiment, the occupied bandwidth can be remarkably reduced under the condition of ensuring the signal quality.

The invention discloses a video coding Merge mode rapid selection method and a video coding Merge mode rapid selection device based on time-space domain correlation. In the method, a FRUC Merge mode is ended in advance via the information of a time domain and a space domain, computation complexity of the FRUC Merge is simplified according to motion information, so that coding time is greatly reduced while coding quality is ensured. The method and the device provided by the invention are simple and easy to use and simple in structure, and greatly improve practicability of JEM.

The invention relates to the technical field of the remote medical video communication, and specifically relates to an intra-frame fast coding method based on quality scalable video coding QSHVC. Themethod comprises the following steps: excluding the depth with small possibility by using relevance; judging whether a residual coefficient meets Laplace distribution by using a distribution fitting check method; if the residual coefficient meets the Laplace distribution, adopting an inter-layer ILR prediction mode, and skipping the intra-frame Intra prediction mode to realize the early termination; if the residual coefficient does not meet the Laplace distribution, traversing the inter-layer ILR prediction mode and the intra-frame Intra prediction mode, computing a rate-distortion value, andselecting an appropriate depth value through comparison. Through the fast coding method disclosed by the invention, the high computing complexity problem caused by a recursive quad-tree coding unit division in the coding is mainly solved. In the premise of guaranteeing the quality of the video, the coding speed is obviously improved, the method can be used for video conference, remote consultation, remote education, remote medical treatment and video on-demand.

The present invention is suitably applied to the field of speech encoding; and provides a search method, a device and an encoder for an algebraic codebook. Each algebraic codebook comprises a plurality of subsidiary codebooks, and each subsidiary codebook comprises a plurality of tracks, each track is provided with one or a plurality of places for the possible appearance of non-zero pulse. The method decomposes a plurality of tracks contained in each codebook into a plurality of channels, and the optimal reference of every channel is determined according to the position of non-zero pulse in the channel. A fixed channel and a dynamic channel are selected and combined to cyclically search for corresponding track preference. The present invention decomposes the tracks of subsidiary codebooks into a plurality of channels, and searches for the ultimate codebook preference through the combination of the fixed channel and the dynamic channel; and effectively reduces the sophistication of realizing codebook search and improving the application value of coding algorithm.

The invention relates to an approximate video encoding system comprising an analyzer, an encoder, an integrator and a decoder, wherein the analyzer is used for detecting the approximation relation of each video to obtain a group of approximate videos and outputting index files corresponding to the approximate videos; the encoder is connected with the analyzer and is used for receiving the index files output by the analyzer, carrying out encoding and compression on the approximate videos according to the index files, and outputting an independent code stream corresponding to each video; the integrator is connected with the encoder and is used for integrating all the independent code streams to generate a single code stream; the decoder is connected with the integrator and is used for decoding the integrated single code stream. Compared with the prior art, the approximate video encoding system disclosed by the invention has the advantages that the compression efficiency is high, the space consumption of a video database can be effectively reduced and the like.

The invention discloses a motion estimation method based on genetic search and template matching, belonging to the technical field of video compression coding. The method comprises the following steps: adopting multiple methods to predict blocks to be coded in a frame to be coded so as to obtain multiple predicted motion vectors; respectively searching a point directed by each predicted motion vector in a search window, adopting three termination strategies to judge, and if the three termination strategies are met, finishing the search; using an initial template to carry out population initialization, and copying, intersecting and selecting population cycles until genetic termination conditions are met; on the basis, searching adjacent points so as to obtain matched blocks to code the blocks to be coded; and traversing a complete frame image, and coding the complete frame image. In the method, the statistic characteristics of the motion vectors are combined to set the three termination strategies, and the template matching is combined with the genetic search algorithm for use, thus ensuring the coding quality and greatly reducing the time of the motion estimation at the same time.

The invention discloses an encoding method of a monitoring video and a device. The method comprises the steps of calculating the residual area ratio of a current interframe coding frame and a previous frame when the current interframe coding frame is an interframe coding frame, comparing the calculated residual area ratio with a preset first threshold, if the calculated residual area ratio is smaller than the first threshold, using an interframe omission mode to calculate an residual image on the current interframe coding frame, quantifying the calculated residual image to obtain a quantized residual, and using the quantized residual to carry out entropy coding to obtain a code stream. According to the method and the device, when the monitoring video is encoded, when the residual area ratio of the current interframe coding frame and the previous frame is smaller than the first threshold, the interframe omission mode is used to calculate the residual image on the current interframe coding frame, and the calculated residual image is subjected to quantifying and entropy coding to obtain the code stream. While the coding quality is ensured, the code complexity is reduced, the coding time is saved, and the coding efficiency is improved.

The invention provides a coefficient optimization method of RDOQ, an acceleration method and device of RDOQ, and relates to the coding field. The optimization method comprises the following steps: performing zero-coefficient judgment on each coefficient according to a preset coefficient scanning order for a non-full-zero coefficient group; acquiring a bit number corresponding to the zero coefficient for an initialized zero coefficient before the last non-zero coefficient; computing a rate-distortion cost difference between the coefficient and the zero coefficient by using a first computing formula for the initialized coefficient with coefficient amplitude of 1 before the last non-zero coefficient, thereby obtaining a first computing result; performing coefficient adjusting according to thefirst computing result; computing the rate-distortion cost difference between the coefficient and the coefficient-1 by using the second computing formula for the initialized coefficient with coefficient amplitude greater than 1 before the last non-zero coefficient, thereby obtaining a second computing result; and performing coefficient adjusting according to the second computing result. The problems that the efficiency is low and the system resource is wasted in the RDOQ process are solved, the computing speed can be improved, and the resource can be saved.

The invention discloses a universal type software automatic testing frame system. The system includes an operation scheduling layer used for setting system operation scheduling schemes; an operation scheme layer used for providing standby operation schemes for the operation scheduling layer; a data grouping layer used for combining different scenes according to different testing strategies, granularity and testing strength so as to form testing classes of different customized forms; a scene layer used for implementing specific service flow or operation and predefining parameterization scenes and used for calling of instantiation scenes; a data set layer acting as input and output of complex data of the scene layer and formed through integration of data classes of different structures; a data class layer defining structure properties of data types of different structures in the data sets; a data recording layer providing actual recording type data for a data class of the recording typestructure. The system provided by the invention is suitable for different application types and environments, realizes collaborative working and iteration development, reduces coding volume substantially, and improves coding development and maintenance flexibility and adaptability greatly.

The embodiment of the invention provides an encoding method and device. The method comprises the following steps: acquiring a first rate distortion cost and encoding mode information obtained by encoding a first image block in a first path of video, and encoding a second image block in a second path of video by using the encoding mode information to obtain a second rate distortion cost; and when the second rate distortion cost is not larger than a rate distortion threshold, determining that encoding of the second image block is finished. In the scheme, the encoding mode information and first rate distortion value of the first image block are acquired from the first path of encoded video, the second image block in the second path of video is encoded with the encoding mode information, and other encoding modes are not selected any more under the situation that the second rate distortion cost is not larger than the rate distortion threshold, so that the overall encoding time is shortened.Compared with lossless encoding, the code rate for encoding the second path of video in the scheme is lower, and the compression efficiency is improved.