43 results about "Lossless coding" patented technology

The invention relates to an array microphone noise reduction recording method based on cascade noise reduction and blind source separation, which belongs to the technical field of voice signal processing and recording, and comprises the following steps: configuring a multi-channel array microphone, ensuring that the amplitude and phase of a channel signal are consistent, and collecting an original multi-channel voice signal; a weighted kernel function blind source separation algorithm is adopted, signal-to-noise ratio distribution characteristics of signals are extracted, kernel function weights are given, and target voice and interference signal components are obtained through decoupling of an independent component analysis model; executing target-oriented adaptive cascade noise reduction, locking the voice of a keynote speaker through directional pickup, reducing noise, filtering out reverberation, and enhancing the voice of a far-field target by combining a voice mask neural network with a far-field pickup algorithm in sequence; and processing the target voice through voice feature perception lossless coding and storing the target voice. According to the invention, stable acquisition of multi-channel signals, accurate separation of mixed signals and layered suppression of noise reverberation are realized, the signal-to-noise ratio and definition of far-field voice are significantly improved, and the method is suitable for single-person speaking or multi-person dialogue scenes.

The invention discloses a GPU shader rendering computer implementation method of a finite element result. The method comprises the steps that a static three-dimensional grid is adopted as a rendering geometry; the 32-bit floating point type scalar data corresponding to the vertexes are subjected to lossless coding at a CPU end to obtain four-channel 8-bit RGBA vertex color attributes; during data updating, lightweight vertex color data are only transmitted to the GPU; hardware interpolation is carried out on the encoded color attributes by using a GPU rasterizer; and finally, in the fragment shader, decoding the interpolation result of each pixel to reconstruct a scalar value, and mapping the scalar value into a final color. According to the method, the bottleneck of topological calculation of a CPU end and transmission of massive geometric data to the GPU is avoided, the calculation load is transferred to the GPU in a large scale for parallel processing, the rendering efficiency is remarkably improved, and high-frame-rate dynamic visualization of a finite element result is realized.

Methods and apparatuses are provided for video coding with lossless coding modes. The method includes: determining whether a current block is in a transform skip mode; in response to determining that the current block is in the transform skip mode, determining whether a first residual coding scheme or a second residual coding scheme is selected for the current block in the transform skip mode; and signaling a first indication which indicates whether a current block is in the transform skip mode and signaling a second indication which indicates whether the first residual coding scheme or the second residual coding scheme is applied for blocks in the transform skip mode.

The decoder includes circuitry configured to receive a bitstream in which a current frame is identified, wherein the current frame includes a first region and a third region, detect in the bitstream an indication that the first region is encoded according to a lossless encoding protocol, and decode the current frame, wherein decoding the current frame further includes decoding the first region using a lossless decoding protocol corresponding to the lossless encoding protocol.

The invention discloses an image coding and decoding display method and system, relates to the technical field of electronic information, and can determine an image needing to additionally transmit a quality enhanced data packet by additionally considering the operation logic of a user on a cloud desktop terminal side and the refreshing frequency of the image in a cloud desktop image coding process, thereby ensuring the user experience. According to the specific scheme, a server side encodes a to-be-displayed image in an H264 lossy encoding mode and issues the to-be-displayed image to a cloud desktop terminal to be decoded and displayed. Meanwhile, a time threshold value T is set, and under the condition that the cloud desktop image is not refreshed after the time T, the server side constructs an image quality enhancement data packet of lossless coding and sends the image quality enhancement data packet to the cloud desktop terminal to be decoded and displayed. The server side sets a time threshold T according to the user input quantity uploaded by the cloud desktop terminal, and the larger the user input quantity is, the smaller the T is.

The invention provides an image coding transmission method and device based on a cache mechanism, equipment and a medium, relates to the technical field of computers, and solves the problem that the transmission bandwidth is wasted due to the fact that the same image content is coded for multiple times in the prior art. According to the scheme, the macro blocks subjected to lossless coding can be stored at the coding side by utilizing the cache mechanism, so that the macro blocks with the same image content do not need to be coded again in subsequent processing, the coding times of the same image content are effectively reduced, the coding efficiency of the image is further improved, and the coding efficiency of the image is improved. The code rate of cloud desktop hybrid coding is reduced, and the effect of saving bandwidth is achieved.

An example device includes a memory configured to store video data; and one or more processors implemented in circuitry and coupled to the memory. The one or more processors are configured to determine whether a transform skip mode is used for a current block of the video data. The one or more processors are configured to disable level mapping for residual coding based on the transform skip mode being used for the current block. The one or more processors are configured to code the current block without applying the level mapping.

A method for coding a video sequence is provided that includes encoding a portion of a picture in the video sequence in lossless coding mode, and signaling a lossless coding indicator in a compressed bit stream, wherein the lossless coding indicator corresponds to the portion of a picture and indicates whether or not the portion of the picture is losslessly coded. A method for decoding a compressed video bit stream is provided that includes determining that lossless coding mode is enabled, decoding a lossless coding indicator from the compressed video bit stream, wherein the lossless coding indicator corresponds to a portion of a picture in the compressed video bit stream and indicates whether or not the portion of the picture is losslessly coded, and decoding the portion of the picture in lossless coding mode when the lossless coding indicator indicates the portion of the picture is losslessly coded.

The invention provides a memory-efficient real number field in-situ fast Fourier transform method and system, and the method comprises the steps: obtaining a real number input tensor to be processed, the dimension of the real number input tensor being r; performing forward fast Fourier transform on the real number input tensor to obtain frequency domain data; a real number buffer area with the size consistent with the dimension size of the real number input tensor is configured, the index range of the real number buffer area is 0-r-1, and storage is carried out based on the coefficient category of the frequency domain data; on the basis of the storage operation, complete frequency domain information of the real number input tensor is losslessly coded in a real number buffer area with the size of r, and the frequency domain information storage space and the real number input data space are consistent in size. The technical problems that in the prior art, the rFFT technology is inconsistent in memory space in deep learning application, bit calculation cannot be truly achieved, and modern data type support is lacked are solved.

A computing device performs a method of decoding video data by receiving a bitstream corresponding to video data encoding one or more pictures, wherein the one or more pictures are recursively partitioned into a plurality of groups at different partition levels; determining a first syntax element that corresponds to a first group of the plurality of groups; in accordance with a determination that the first syntax element has a first value: decoding the first group in a first mode and in accordance with a determination that the first syntax element has a second value: determining a respective second syntax element for each of one or more second groups within the first groups, wherein the one or more second groups are at a second partition level below the first partition level and decoding each of the one or more second groups in accordance with a value of the respective second syntax element.

When encoding a data array in a lossless manner, the data array is encoded using a lossless encoding scheme, and using an auxiliary encoding scheme that can encode at least some data arrays in a lossless manner such that the original array of data elements can be reconstructed from the encoded data. The result of encoding the data array using the auxiliary encoding scheme is then used to determine whether to use a result of the encoding of the data array using the auxiliary encoding scheme for the output encoded data array or whether to use a result of the encoding of the data array using the lossless encoding scheme for the output encoded data array.

The application provides a lossless coding method, comprising the following steps: S1, providing quantized 4X4 pixel blocks, each pixel block comprising a plurality of pixels, each pixel corresponding to a quantized coefficient; S2, predicting a Golomb-Rice parameter m value of a current pixel by a forward average value of quantized coefficients of all pixels; S3, dividing the quantized coefficient corresponding to the current pixel into a coding prefix and a coding suffix according to the Golomb-Rice parameter m, performing unary coding on the coding prefix according to a unary coding table, and performing binary coding on the coding suffix; and S4, repeating steps S2-S3 until the coding of all pixel blocks is completed. In the lossless coding method provided in the embodiment of the application, the Golomb-Rice parameter m is increasing or decreasing along with the arrangement of the pixel blocks or the pixels, and the quantized Golomb-Rice parameter m is not fixed, so that the convergence speed of coding is accelerated.

The invention discloses an image compression method and device based on hierarchical prediction and time-frequency coupling fast decision, and the method comprises the steps: firstly segmenting an input image into image blocks with the same size, respectively calculating all gradient components of each image block, calculating the gradient entropy H (G) of the image block through a weighted fusion strategy, and carrying out the calculation of the gradient entropy H (G) of the image block; dividing the image blocks into simple, medium or complex areas according to a preset threshold value, and allocating prediction modes with different calculation complexity to different areas; step-by-step calculation is carried out according to a simple, medium and complex sequence by adopting a calculation multiplexing strategy, and a later-stage prediction directly multiplexes an obtained intermediate result of a previous stage; and finally, for all candidate modes, adopting a time-frequency coupled joint distortion evaluation model, and quickly selecting an optimal prediction mode by weighting and fusing time domain and frequency domain components. According to the method, on the premise that the coding quality is lossless, the calculation complexity and the processing delay of intra-frame prediction are remarkably reduced, the overall throughput rate is improved, and the method has good universality and transportability.

This application proposes a video stream cloud-edge collaborative analysis method and device. The method includes: an FPGA edge computing device acquiring a video stream captured by a camera device; the FPGA edge computing device performing real-time key region detection on the video stream using an internally deployed lightweight neural network model to obtain key region detection results and extracting low-resolution feature vectors of the key regions; the FPGA edge computing device, through its built-in video encoding and decoding unit, performing lossless encoding and high bit rate compression on the key region video stream based on the key region detection results, and performing Gaussian blur preprocessing and high quantization parameter compression on the non-key region video stream to obtain compressed video data; and uploading the compressed video data, key region location metadata, and low-resolution feature vectors to a cloud GPU server. This can improve real-time performance and network efficiency.

Methods and apparatus are provided for video coding with lossless coding modes. The method includes: dividing a video image into a plurality of CUs comprising a lossless CU; determining a remaining coding block size of the lossless CU; and upon determining that the remaining coding block size of the lossless CU is greater than a predefined maximum value, splitting the remaining coding block into two or more remaining blocks for further coding.

A method and apparatus for video coding. Methods and apparatuses for video coding with lossless coding mode are provided. The method includes partitioning a video picture into a plurality of CUs including a lossless CU, determining a residual coding block size of the lossless CU, and in response to determining that the residual coding block size of the lossless CU is greater than a predefined maximum value, partitioning the residual coding block into two or more residual blocks for residual coding.

An electronic device performs a method of decoding video data, the method comprising: if adaptive color transform (ACT) is enabled for a residual of a coding unit, receiving, from information in a bitstream, an adjustment value applied to a quantization parameter for inverse quantization, and a coefficient for the residual of the coding unit; reconstructing the residual of the coding unit by applying inverse quantization and inverse transform to the reception coefficient for the residual of the coding unit; and, if the residuals of the coding units have been encoded using ACT, modifying the reconstructed residuals of the coding units by applying inverse ACT to convert the reconstructed residuals of the coding units from the YCgCo color space to the original color space based on the same inverse ACT matrix as one applied to one coding unit encoded in the lossy or lossless encoding mode.

The application provides a lossless coding and decoding method, device and medium for distributed audio and video processing, comprising: generating a preliminary node allocation scheme according to a frequency band grouping boundary, calculating the frequency band processing load of each node by using a load balancing algorithm, re-distributing the frequency band carried by the node whose load exceeds a preset load threshold to a low-load node to obtain a node allocation scheme; performing frequency band splitting on multi-channel audio according to the node allocation scheme, driving each node to independently encode the allocated frequency band to obtain a node frequency band signal; performing cross-node phase synchronization detection on each node frequency band signal, extracting a node pair with different phases and the corresponding frequency band, re-distributing the frequency band to a phase-coherent node to obtain an optimized node allocation scheme; performing distributed coding on each node frequency band signal by using the optimized node allocation scheme and recombining, extracting the spatial sound field positioning of the recombined signal, comparing with the original signal positioning, and identifying the final lossless audio signal meeting the preset positioning range.

The invention relates to the technical field of video compression coding, and discloses an intelligent lossless video compression optimization method and device, equipment and a medium. According to the method, initial content description of an original video stream is extracted through a visual description network, content marking points are marked, and a dynamic content topological graph is generated according to the space-time relation of the content marking points. And performing semantic aggregation on the topological graph to form a semantic aggregation unit associated with a compressed semantic tag. A candidate compression strategy is matched for each unit, an initial strategy mapping table is generated, and a final strategy mapping table is screened out according to global constraint iteration. And configuring encoder parameters according to the table to carry out lossless encoding, and collecting feedback information to adjust strategies and parameters on line. According to the method, the structured association of the video content can be deeply understood, and the dynamic closed-loop optimization of the coding strategy is realized, so that the overall efficiency and the adaptive capability of lossless video compression are improved.

The invention provides a mixed image lossless coding and decoding method and system based on frame-level rearrangement, and relates to the technical field of image processing, and the coding method comprises the steps: obtaining a mixed image; performing block preprocessing on the mixed image to obtain a plurality of sub-blocks; based on a manual design feature and a learning feature, classifying the plurality of sub-blocks, and determining a classification result; according to the classification result, carrying out frame-level rearrangement on the mixed image to obtain a rearranged image; and carrying out lossless coding on the rearranged image through a lossless coding algorithm to generate a code stream containing frame-level rearranged information. Lossless decoding of the mixed image is realized, the coding efficiency of the ultra-high-definition mixed image is effectively improved, the complexity increase is less, the method is compatible with an open source encoder, and the method is easy for practical application.

The invention relates to the technical field of machine learning model compression, in particular to a hierarchical large model compression method and device, electronic equipment and a storage medium. According to the scheme, on the premise of guaranteeing that the precision of the embedded layer is basically lossless, the overall compression rate far exceeding that of a single method is achieved. The method effectively solves the inherent contradiction between the damage of a traditional quantification method to the performance of an embedded layer and the limited compression rate of a general lossless compression method, and achieves the optimal balance between the compression efficiency and the model performance.

This invention relates to the field of lossless image encoding and proposes an enhanced QOI encoder implemented based on FPGA. Based on an enhanced QOI encoding strategy, the encoder consists of an input bit-width transform, a JPEG-LS predictor, an enhanced QOI encoding unit, a coding group FIFO, a compact bit-width transform, and a keep signal specification module. It features high throughput, good timing performance, and low hardware resource consumption. Its core components, the JPEG-LS predictor and the enhanced QOI encoding unit, employ a pipelined design, enabling encoding of two pixels per clock cycle. It supports encoding images of any resolution (requiring only an even image width). Both the input pixel stream and the output encoded data stream utilize a 64-bit AXI Stream bus interface, and the encoded data output does not contain null bytes, facilitating DMA transfer.

This invention discloses a high-precision waveform acquisition and time-stamping synchronization system for power grid fault location, relating to the field of power grid waveform synchronization technology. Step one involves synchronously outputting three levels of sampling under the same Coordinated Universal Time (UTC) time axis, and generating upper bounds for time uncertainty and group delay signatures for channels and segments. Step two involves near-lossless quality locking of high-energy segments, followed by encoding and verification of sample location and peak amplitude using a common-source detection kernel; failure to meet the criteria results in lossless rollback. Step three involves writing segment indexes, quality metadata, fragment verification structures, and full-file signatures into a compatible single-file extended container. Step four involves progressive retrieval by index, breakpoint continuation, and cross-site deduplication, along with cold and hot layered storage. Step five involves calculating reference times and generating acceptance lists based on group delay signature compensation and quality-weighted loading. This solution achieves cross-device alignment, reproducibility of key features, peak reduction during transmission and storage, unified playback and evidence collection standards, and considers tool compatibility and auditing.

The invention provides an image compression method and device, and the method comprises the steps: 1, constructing a multi-scale image for coding, and carrying out the flexible coding through distinguishing different frequency band signals, and 2, carrying out the approximate lossless coding of a low-frequency signal, improving a context template construction mode based on a JPEG-LS algorithm, and carrying out the independent and controllable high-compression-rate coding of a high-frequency signal. And thirdly, independent coding control is carried out on different areas through feature extraction. According to the invention, image compression processing with a high compression rate is carried out under the condition that the high quality of the encoded and decoded image is ensured, and the requirements of low time delay and high flexibility are met.

A method for coding a video sequence is provided that includes encoding a portion of a picture in the video sequence in lossless coding mode, and signaling a lossless coding indicator in a compressed bit stream, wherein the lossless coding indicator corresponds to the portion of a picture and indicates whether or not the portion of the picture is losslessly coded. A method for decoding a compressed video bit stream is provided that includes determining that lossless coding mode is enabled, decoding a lossless coding indicator from the compressed video bit stream, wherein the lossless coding indicator corresponds to a portion of a picture in the compressed video bit stream and indicates whether or not the portion of the picture is losslessly coded, and decoding the portion of the picture in lossless coding mode when the lossless coding indicator indicates the portion of the picture is losslessly coded.

An electronic device performs a method of encoding and decoding video data. The method includes receiving, from a video bitstream, a first syntax element of a current picture, determining, in accordance with a determination that the first syntax element indicates that dependent quantization is disabled for the current picture, receiving, from the video bitstream, a second syntax element of the current picture, wherein the second syntax element indicates whether transform skip residual coding in transform skip mode is disabled for the current picture, determining, in accordance with a determination that the first syntax element indicates that dependent quantization is enabled for the current picture, setting the second syntax element to a default value that enables transform skip residual coding in transform skip mode for the current picture, and performing, in accordance with the first syntax element and the second syntax element, transform skip residual decoding and dependent dequantization for the current picture.

The invention discloses a human-computer interaction method, system and device for a robot in a narrow closed space and a medium, and belongs to the technical field of human-computer interaction, and the method comprises the steps: building a space coordinate mapping relation, constructing an environment space coordinate system, and building a mapping function between a grid and a space coordinate based on camera view division; robot motion parameters are obtained in real time, and a motion stability coefficient is calculated; dividing the image into a key region and a background region; carrying out lossless coding on the key area image, carrying out lossy coding on the background area image, and packaging to generate a data packet containing space coordinate information; the ground station receives and analyzes the data packet; when it is detected that the temperature of the background area is abnormal, the background area is automatically expanded into an enhanced area, the data transmission level is improved, and a fused image is generated to update the space mapping relation. In a complex and narrow environment, the identification accuracy and efficiency are improved, the labor cost is reduced, the service life of equipment is prolonged, and meanwhile, the safety and reliability of power grid operation are improved.

This invention belongs to the field of image processing and video coding technology, specifically a GPU-accelerated RGB image coding method and system. The method includes performing one of three processing steps on the RGB image using the GPU: color space conversion using bilinear interpolation, data rearrangement based on channel separation and stacking, or data rearrangement based on tile block rearrangement, to generate input data suitable for a YUV420 format hardware encoder. The bilinear interpolation method combines color space conversion and chroma downsampling into a single-step GPU calculation, reducing integer truncation times, eliminating color darkening, and improving line clarity. The channel stacking and tile rearrangement methods losslessly store RGB information in the Y channel, utilizing the encoder's full-resolution characteristics to achieve lossless chroma encoding. This invention is suitable for high-fidelity, low-latency video acquisition and transmission scenarios, achieving completely lossless chroma encoding.

A lossless coding mode is proposed in a video coding system comprising a plurality of coding tools, some being lossy by design, some of which can be adapted to become lossless or near lossless. To enable a lossless mode in such system, it is proposed to disable the tools that are lossy by design and use only lossless tools, to adapt some tools to enable lossless coding, and adapt some tools to enable near-lossless coding so that a secondary lossless coding may be applied after residual coding. In some embodiments, a type of residual coding is determined by, when an information indicates that a transform skip residual coding is used, obtaining a flag representative of a special mode, and when this flag is true, determine that regular residual coding must be used instead of the transform skip residual coding that should be used.