116 results about "Coding distortion" patented technology

An encoder for use in scalable video coding has a mechanism to perform macroblock mode selection for the enhancement layer pictures. The mechanism includes a distortion estimator for each macroblock that reacts to channel errors such as packet losses or errors in video segments affected by error propagation; a Lagrange multiple selector for selecting a weighting factor according to estimated or signaled channel error rate, and a mode decision module or algorithm to choose the optimal mode based on encoding parameters. The mode decision module is configured to select the coding mode based on a sum of the estimated coding distortion and the estimated coding rate multiplied by the weighting factor.

Mosaic-shaped block noise occurs when a compressed video signal is reproduced. This block noise is removed, but removing block noise from every block using a deblocking filter imposes a significant load on the deblocking filter. This load is therefore reduced by determining whether coding distortion removal (deblocking) is necessary, and applying a deblocking filter only when needed.

Mosaic-shaped block noise occurs when a compressed video signal is reproduced. This block noise is removed, but removing block noise from every block using a deblocking filter imposes a significant load on the deblocking filter. This load is therefore reduced by determining whether coding distortion removal (deblocking) is necessary, and applying a deblocking filter only when needed.

Mosaic-shaped block noise occurs when a compressed video signal is reproduced. This block noise is removed, but removing block noise from every block using a deblocking filter imposes a significant load on the deblocking filter. This load is therefore reduced by determining whether coding distortion removal (deblocking) is necessary, and applying a deblocking filter only when needed.

Mosaic-shaped block noise occurs when a compressed video signal is reproduced. This block noise is removed, but removing block noise from every block using a deblocking filter imposes a significant load on the deblocking filter. This load is therefore reduced by determining whether coding distortion removal (deblocking) is necessary, and applying a deblocking filter only when needed.

Image coding having high coding efficiency is provided with a small computational complexity by properly determining a prediction mode and a quantization parameter. When an image is coded by a prediction mode selected from plural prediction modes every any coding unit, an undetermined multiplier λ is first calculated from a quantization parameter (function S301) Subsequently, the cost of each of R-D points (pairs of number of coded bits and coding distortion that correspond to plural combinations of prediction modes and quantization parameters) is calculated (function S305) on the basis of the undetermined multiplier λ while generation and estimation of the R-D points and deletion of the points (functions S302-S304) are repeated every coding unit, for example, every macroblock, and the optimal combination of the prediction mode and the quantization parameter is determined on the basis of the R-D point providing the minimum cost.

A moving picture coding apparatus includes a computing unit configured to compute a distortion robustness indicating degree of imperceptibility of coding distortion in a region to be coded in an input picture, an estimation unit configured to estimate coding distortions based on a first prediction residual of an intra predicted picture, and a second prediction residual of an inter predicted picture, an estimation unit configured to estimate code lengths to be generated when coding the first and second prediction residuals, a computing unit configured to compute coding costs of the first and second prediction residuals by weighted addition of the coding distortions and code lengths so that effect of the code lengths more increases than that of the coding distortions as the distortion robustness increases, a selection unit configured to select one of the first and second prediction residuals for which the coding cost is minimized.

A sample speech is analyzed by a speech analyzing unit to obtain sample characteristic parameters, and a coding distortion is calculated from the sample characteristic parameters in each of a plurality of coding modules. The sample characteristic parameters and the coding distortions are statistically processed by a statistical processing unit to obtain a coding module selecting rule. Thereafter, when a speech is analyzed by the speech analyzing unit to obtain characteristic parameters, an appropriate coding module is selected by a coding module selecting unit from the coding modules according to the coding module selecting rule on condition that a coding distortion for the characteristic parameters is minimized in the appropriate coding module. Thereafter, the characteristic parameters of the speech are coded in the appropriate coding module, and a coded speech is obtained. When the coded speech is decoded, a reproduced speech is obtained. Accordingly, because an appropriate coding module can be easily selected from a plurality of coding modules according to the coding module selecting rule, any allophone occurring in a reproduced speech can be prevented at a low calculation volume.

A speech coding apparatus includes driving excitation coding units, a comparator and a selecting unit. The driving excitation coding units encode in respective excitation modes a target signal to be encoded that is obtained from the input speech, and output coding distortions involved in the encoding. The comparator compares at least one of the coding distortions involved in the encoding with a fixed threshold value or with a threshold value that is determined in response to signal power of the input speech or with a threshold value that is determined in response to signal power of the target signal to be encoded. The selecting unit selects the excitation mode in response to the coding distortions and a compared result of the comparator. The speech coding apparatus can select a more favorable excitation that will provide better speech quality, thereby being able to improve the subjective quality of the speech it outputs by decoding resultant speech code.

A code volume control section refers to an input image and a reference image stored in a frame memory and thereby sets a quantization step for each block so that the volume of coded data generated for a frame will be a preset volume. A data loss probability estimation section estimates a data loss probability (the probability that data loss will occur to a target block due to transmission error) based on a code volume predicted value of the target block obtained by the code volume control section and the code volume from the latest synchronization code pattern to a block just before the target block. A degradation estimation calculation section calculates an estimate of degradation of the target block caused by errors based on image degradation power and the data loss probability. A mode selection section selects an optimum encoding mode for the target block based on the degradation estimate of the target block and an estimate of frame coding distortion. Forced refresh (intra-frame encoding of a block) is carried out properly and effectively, thereby image degradation is reduced without deteriorating coding efficiency.

A device for encoding a plurality of information signals using a joint computing power includes a plurality of encoders for encoding a respectively different one of the information signals using the joint computing power, wherein each encoder is controllable via at least one respective encoding parameter with regard to its encoding complexity / encoding distortion performance. A provider for providing, for each of the encoders, signal-dependent information dependent on the respective information signal and indicating an encoding distortion of the respective encoder, and a setter for setting the encoding parameters depending on the signal-dependent information considering the joint computing power such that a combination of encoding complexities of the encoders does not exceed a value dependent on the joint computing power are also provided, wherein the setter for setting and the plurality of encoders cooperates such that, with regard to subsequent time intervals, a distribution of the joint computing power depends on the encoding parameters or an encoding complexity of the individual encoders.

An image compression coding apparatus which can obtain coded data with minimum coding distortion within an allowable compression ratio range while minimizing a deterioration in the performance of a system, and a control method for the apparatus.

This invention discloses a video code bit rate control method in which quick and accurate predict of the code bit rate can be realized by the good linear relationship between code bit number and transformation ratio parameter, good information source weak correlation between code distortion and the transformation ratio paremter, the target code bit number can be determined, according to the predict and the code buffer, then code quqntification parameter is adjusted according to the relationship between the transformation rate and the quantification parameters to control the code bit rate. Thecode parameter is adjusted according to code macro-block distortion.

The invention discloses a video coding framework based on an HEVC standard. On the premise that the HEVC standard is satisfied, modes (coding complexity cost model and coding distortion cost model) are adopted to quantitatively calculate candidate coding modes and coding parameters and ergodic picking over is performed, which avoids a mass of and complex processes of ergodic picking over and improves the coding rate-distortion performance. The method provided by the invention can improve the research result of the HEVE video coding performance, further improve the video coding performance and realize more efficient HEVC video coding strategy.

The invention, which relates to the video coding processing field, discloses a method for calculating a coding distortion degree and a coding mode control and a system thereof. According to the invention, the method comprises: a predicted pixel value of a coding macro block in a current coding mode is obtained and a predicted residual value is calculated based on the predicted pixel value and the coding macro block pixel value; the predicted residual value is processed by quantization and inverse quantization during a coding process in a current coding mode to obtain a predicted residual value with quantization losses; and a difference spare quadratic sum of the predicted residual value and the predicted residual value with quantization losses is used as a coding distortion degree in the current coding mode. According to the invention, because the difference spare quadratic sum of the predicted residual value and the predicted residual value with quantization losses is used as the coding distortion degree, the time delay of a prediction module, a prediction residual calculation module, and a rebuilding module in a calculation passage is avoided; and a problem that a serious data passage delay phenomenon occurs when the distortion degree is calculated based on the traditional SSD coding module control strategy can be solved.

The invention relates to a rapid depth map coding mode selection method based on an JNDD (Just Noticeable Depth Difference) model, and the method comprises the following steps of: carrying out edge detection on a coding macro-block to obtain an edge value of the current block; determining a threshold value which cannot be preceived by human eyes of a depth difference in different depth value regions in the macro-block by utilizing a minimum perceptible depth difference model, comparing the threshold value with the edge value, and dividing a depth map into a vertical edge region and a flat region; and adopting a full search strategy on the edge region, and adopting SKIP (Simple Key Internet Protocol) mode search, interframe 16*16 mode search and intraframe mode search on the flat region. By utilizing the rapid depth map coding mode selection method, according to the characteristics of depth data and influences of depth coding distortion on the drawing visual quality, on the premise of ensuring the virtual visual quality and the coding rate to be basically invariable, the coding complexity can be greatly lowered, and the coding speed of a depth map coding module in a three-dimensional video system is increased.

The invention belongs to the technical field of video coding, and particularly relates to an adjustment method of video code rate distortion optimization. The method comprises the steps of in the process of inter-frame predictive coding, firstly, acquiring the change of the code rate of an influenced coding unit under the condition of high code rate to obtain the coding price change of a coding unit behind the current coding unit caused by the coding distortion of the current coding unit; acquiring Lagrangian multipliers used in code rate distortion optimization to obtain the coding price of any coding unit. The adjustment method is suitable for sequence coding with strong inter-frame correlation; compared with the existing high efficiency video coding (HEVC) device, the adjustment method is capable of saving more code rate.

The invention provides a free viewpoint video depth map distortion prediction method and a free viewpoint video depth map coding method. The free viewpoint video depth map distortion prediction method includes the steps that for a map block to be coded and used for hole-filling synthesis of a given frame of a multi-view three-dimensional video sequence given viewpoint, a coded texture map block, a depth map block coded by adopting a preselected coding mode in a trial mode, a corresponding original texture map block and an original depth map block are input; a combined weight matrix of the map block to be coded is input, wherein combined weight when synthetic viewpoint texture is obtained by using a left viewpoint texture map and a right viewpoint texture map is marked; distortion of the synthetic texture obtained after mapping and hole filling synthesis are completed by using pixel points in a depth map is calculated, and the distortion is used as a prediction value of synthetic viewpoint distortion; distortion prediction values of all pixels in the map block to be coded are summed to obtain a prediction value of synthetic viewpoint distortion caused by coding the map block to be coded. According to the method, coding distortion of the depth map can be predicated accurately, meanwhile the situation that a synthetic view algorithm is executed repeatedly is avoided, and the computation complexity is greatly lowered.

The invention discloses a method and a device for optimizing and quantifying conversion coefficients. The method optimizes and quantifies a Z1*Z2 conversion coefficient block containing Z non-zero conversion coefficients by the following steps of: (1) generating a plurality of candidate quantification values for the non-zero conversion coefficients; (2) calculating a corresponding coding cost forthe combination of candidate quantification values of M non-zero conversion coefficients, selecting the combination of the candidate quantification values for minimizing the coding cost as optimization and quantification values of the M non-zero conversion coefficients, and calculating the corresponding coding cost, namely calculating coding distortion and calculating coding bit number, wherein the calculation of the coding distortion comprises non-normalization removal of the conversion coefficient values recovered after the conversion coefficients and the candidate quantification values areinversely quantized; and (3) slipping Q non-zero conversion coefficients to execute the operation of the (2) till all the conversion coefficients in the conversion coefficient block obtain optimization and quantification values. The method and the device can improve the coding efficiency of optimization and quantification.

The invention discloses a content-based bit stream layer video quality assessment model, and belongs to the technical field of multi-media. A compressed domain model can directly extract a video parameter from a code stream, for performing non-invasive quality monitoring in real time. The model mainly aims at an H.264 video coding standard, for assessing the quality of coding distortion. A basic relation is built between sensed quality and a quantization parameter (QP). In view of significant dependence of the sensed quality on video content, the video content is defined to be combinations with different time complexity and spatial complexity. According to the model provided by the invention, the occupied ratio (SPM_Ratio) of a small prediction bock and a proportion (Ave_Coef) of an average DCT nonzero number in each 4*4 block in an I frame are used for synchronously describing the spatial complexity of the video. An average normalization parameter (Ave_Mvlen) of a suffix length of motion vector information in the code stream is used for describing the spatial complexity of the video. All information can be directly extracted from the code stream, with no need to perform decoding operation.

A method of performing a rate-distortion optimization process comprising, for each of a plurality of target image portions to be encoded in each of a plurality of frames, selecting a preferred one of a set of encoding modes by optimizing a function comprising an estimate of distortion for the target image portion and a measure of bit rate required to encode the target image portion, wherein the estimate of distortion is based on source coding distortion and an estimate of a distortion that would be experienced due to possible loss over the channel; encoding the target image portion into the encoded video stream using the selected encoding mode; and transmitting the encoded video stream over the channel. The rate-distortion optimization process for a current one of the frames is performed in dependence on feedback received from the receiving terminal based on an earlier one of the frames.

The invention discloses a video coding method. An index of a gradient magnitude similarity between frames is adopted, so the change between the frames is described more accurately, and the problem of reduced coding quality due to the drastic change between the frames is solved; a gradient is calculated by employing a Canny edge detection operator, so in addition to that an edge is extracted, a texture region further can be protected well, thereby enabling the GMS (Gradient Magnitude Similarity) to express gradient amplitude distortion more completely; a perception rate distortion model is established and the gradient amplitude distortion of a current CU (Coding Unit) is utilized to replace the traditional coding distortion SSE (Sum of Squared Error), such that a distortion value is more suitable for human eye perception distortion; and therefore, according to the video coding method disclosed by the invention, as the human eye perception distortion characteristics are combined, the existing code rate control method is improved, and the subjective quality of video coding is improved.

A speech coding apparatus comprises a repetition period pre-selecting unit for generating a plurality of candidates for the repetition period of a driving excitation source by multiplying the repetition period of an adaptive excitation source by a plurality of constant numbers, respectively, and for pre-selecting a predetermined number of candidates from all the candidates generated. A driving excitation source coding unit provides both excitation source location information and excitation source polarity information that minimize a coding distortion, for each of the predetermined number of candidates, and provides an evaluation value associated with the minimum coding distortion for each of the predetermined number of candidates. A repetition period coding unit compares the evaluation values provided for the predetermined number of candidates with one another, selects one candidate from the predetermined number of candidates according to the comparison result, and furnishes selection information indicating the selection result, excitation source location code, and polarity code.

An encoder for use in scalable video coding has a mechanism to perform macroblock mode selection for the enhancement layer pictures. The mechanism includes a distortion estimator for each macroblock that reacts to channel errors such as packet losses or errors in video segments affected by error propagation; a Lagrange multiple selector for selecting a weighting factor according to estimated or signaled channel error rate, and a mode decision module or algorithm to choose the optimal mode based on encoding parameters. The mode decision module is configured to select the coding mode based on a sum of the estimated coding distortion and the estimated coding rate multiplied by the weighting factor.

The invention discloses a two-dimensional code recognition method and device, a mobile terminal and a readable storage medium, and relates to the field of mobile terminals. The method comprises the following steps: acquiring attitude information of a mobile terminal, acquiring scanning plane information of the two-dimensional code recognition equipment through a camera of the mobile terminal; Adjusting a two-dimensional code on the mobile terminal according to the attitude information and the scanning plane information; the scanning plane of the two-dimensional code recognition equipment is actively recognized through the front camera of the mobile terminal; meanwhile, data of the accelerometer and the gyroscope are collected to obtain attitude information of the mobile terminal, and two-dimensional code distortion is actively adjusted according to the scanning plane and the attitude information, so that the two-dimensional code is parallel to the scanning plane, the recognition speedand the success rate of the two-dimensional code are improved, and the user experience is improved.

The invention discloses a post-processing method for a depth image. The method comprises the following steps of: coding an acquired color image and a corresponding depth image to obtain a coded code stream; acquiring a coding distortion compensation parameter of the depth image, and coding the coding distortion compensation parameter of the depth image to obtain a parameter code stream; decoding the coded code stream and the parameter code stream to obtain a decoded color image, a decoded depth image and a decoded coding distortion compensation parameter; and compensating the decoded depth image by using the coding distortion compensation parameter of the depth image to obtain a depth compensated image, and filtering the depth compensated image to obtain a depth filtered image which is used for drawing a virtual viewpoint image. The method has the advantages that the influence of coding distortion on the drawing of the virtual viewpoint image is lowered on the basis of maintaining the compression efficiency of the depth image, and the drawing performance of the virtual viewpoint image is greatly improved.

The invention provides a video coding processing method, which comprises the following steps: allocating code rate of each space domain layer in space domain-time domain scalable video coding; establishing a code distortion model of each time domain layer in each space domain layer according to the relation of code distortion of each time domain layer and reference time domain layers thereof; establishing a code rate model of each time domain layer by analyzing the relation of code rate of each time domain layer and the reference time domain layers; and allocating the code rate of each time domain layer according to corresponding code rate of the space domain layer and the code distortion model and the code rate model of each time domain layer. The invention also provides a video coding processing device. The method and the device realize the code rate optimized distribution based on the correlation of code layers, can make the coding efficiency maximized, and further optimize the coding performance of scalable coding.

To compress and encode an image by dividing the image into units of blocks, a method in which features of each block are detected and different operations are applied according to the features has been used often so as to reduce coding distortion and improve subjective image quality, but this method requires additional information representing features of blocks to be recorded and transmitted together, thereby deteriorating the coding efficiency. A rounding operation with respect to a calculation result is modified so that the rounding operation is varied according to features detected as to each block. By so doing, adaptive compressing and coding is implemented by only the processing upon coding, without recording or transmitting additional information.

The embodiment of the invention discloses an intra-frame chroma prediction method, device and system, terminal equipment, a video encoder, a video decoder and a computer readable storage medium, and the method comprises the steps: obtaining an encoded or decoded reconstructed brightness component; down-sampling the encoded or decoded reconstructed brightness component; inputting the preset parameters into an image coloring sub-network in a pre-trained chroma prediction convolutional neural network model to obtain chroma components output by the image coloring sub-network; wherein the preset parameter comprises a coded or decoded reconstructed brightness component after down-sampling, or comprises a coded or decoded reconstructed brightness component after down-sampling and a target parameter, and the target parameter comprises at least one of a coding distortion degree and a coded or decoded reconstructed adjacent chroma block; and obtaining a chroma prediction result according to thechroma component. The intra-frame chroma prediction scheme based on the convolutional neural network provided by the embodiment of the invention is relatively high in universality, and the code rate can be saved.