3225 results about "Video encoding" patented technology

An example device for decoding video data includes a memory configured to store video data; and a processing system comprising one or more processors implemented in circuitry, the processing system being configured to: generate a prediction block for a current block of video data using a neural network; determine an equivalent intra mode for the prediction block from a set of available intra-prediction modes using decoder-side intra mode derivation (DIMD), the equivalent intra mode representing one of the intra-prediction modes that would generate an intra-prediction block that would best match the prediction block generated using the neural network; decode a residual block for the current block of the video data based on the equivalent intra mode; and combine the prediction block with the residual block to decode the current block of the video data.

A method comprising: receiving an image block unit of a frame, the image block unit comprising samples in color channels comprising at least one chrominance channel and one luminance channel; reconstructing samples of said luminance channel of the image block unit; determining a reference area for predicting target samples of at least one color channel of the image block unit, wherein said reference area comprises one or more reference samples in a neighboring block in current color channel / frame, in the neighboring of a co-located block in reference color channel / frame; and / or inside the co-located block in reference color channel / frame; determining weights for predicting said target samples based on a ratio between a normalized luminance histogram in said reference area and a normalized luminance histogram co-locating said target samples; determining filter coefficients of a filter for said predicting based on the weights, the reference samples and a shape of the filter; and predicting samples of at least one color channel of the image block unit based on the samples of said luminance channel and the filter coefficients.

The application provides a signal transmission method, a video encoder and a computer readable storage medium. A computer-implemented signal transmission method performed by an encoder comprises the following steps: a processor transmits a bitstream comprising weight information for a prediction coding unit (CU) to a video decoder, the weight information indicating that if weighted prediction is enabled for a bi-prediction mode of the CU, weighted averaging for the bi-prediction mode is disabled, and the weight information indicating that if weighted prediction is enabled for at least one of a luma component and a chroma component of a reference picture of the CU, weighted averaging for the bi-prediction mode is disabled, wherein the bitstream comprises a flag indicating whether weighted prediction is enabled for at least one of the luma component and the chroma component of the reference picture, and the flag comprises a flag luma_weight_lx_flag[i] transmitted for an i-th reference picture in a reference picture list Lx, wherein x is 0 or 1.

A video encoding method, a video decoding method and apparatus, and a storage medium are provided. The decoding method includes that: angular accuracy corresponding to the intra prediction mode candidate list is determined, the first angular accuracy is used for indicating a search range of an angular prediction mode in the intra-frame prediction mode candidate list; the intra prediction mode candidate list is constructed on the basis of the first angular accuracy; and the prediction for the current block is performed on the basis of the constructed intra prediction mode candidate list.

The invention particularly relates to a mobile camera management system capable of adaptively adjusting video coding quality. According to the mobile camera management system capable of adaptively adjusting the video coding quality, a network condition monitoring and predicting module is used for monitoring the current network bandwidth and packet loss rate in real time and predicting the network state; the video coding control module is used for dynamically adjusting video coding parameters according to the current network bandwidth and the ROI; and the adaptive adjustment strategy module is responsible for issuing a video coding strategy to the video coding control module according to the data fed back by the network state monitoring and prediction module so as to realize dynamic adjustment of the video coding quality. The mobile camera management system capable of adaptively adjusting the video coding quality can avoid video lagging and frame loss when the network bandwidth is relatively low, is suitable for various mobile devices such as a vehicle-mounted device, an unmanned aerial vehicle and a wearable camera, effectively improves the continuity and availability of video transmission, and realizes stable application in an environment with unstable signals.

To provide a video encoding / decoding method and apparatus for performing intra-prediction based on the availability of a reference pixel so as to improve encoding performance.SOLUTION: An intra-prediction method for a color copy mode checks a reference pixel region designated to obtain correlation information, determines a reference pixel processing setting based on a determination of availability of the reference pixel region, and performs intra-prediction according to the determined reference pixel processing. In addition, a candidate list for motion information prediction of the current block is generated, a control point vector of the current block is derived based on the candidate list and a candidate index, a motion vector of the current block is derived based on the control point vector of the current block, and inter prediction is performed on the current block using the motion vector.SELECTED DRAWING: Figure 14

Example devices, methods, and computer-readable media are disclosed. An example device includes one or more processors configured to determine a reference picture list for a current block of a current picture of the video data. The one or more processors are configured to determine that a reference picture of a collocated block is listed in the reference picture list for the current block, the collocated block being collocated with the current block in a collocated picture. The one or more processors are configured to select, in a condition where the reference picture of the collocated block is listed in the reference picture list for the current block, a reference picture for the current block to be the reference picture of the collocated block. The one or more processors are configured to and encode or decode the current block based on the reference picture for the current block.

To provide a video encoding / decoding method and apparatus for performing intra-prediction based on the availability of a reference pixel, which can improve encoding performance.SOLUTION: An intra-prediction method for a color copy mode checks a reference pixel region designated to obtain correlation information, determines a reference pixel processing setting based on a determination of availability of the reference pixel region, and performs intra-prediction according to the determined reference pixel processing. In addition, a candidate list for motion information prediction of the current block is generated, a control point vector of the current block is derived based on the candidate list and a candidate index, a motion vector of the current block is derived based on the control point vector of the current block, and inter prediction is performed on the current block using the motion vector.SELECTED DRAWING: Figure 14

A method and apparatus for video coding using dependent quantization (DQ) with sign hiding. At the decoder side, for a current segment, a sign-hiding state of a selected coefficient, or parity information of the quantized transform coefficients associated with the current segment, or both are determined. The current segment comprises a sign-hiding coefficient. The signs associated with one or more sign-hiding quantization coefficients corresponding to one or more target coefficients in the current segment are determined based on the sign-hiding state, the parity information of the current segment, or both. The quantization coefficients with the signs recovered are dequantized using respective quantizers from the plurality of quantizers. A method and apparatus for a corresponding encoder are also disclosed.

To provide a video encoding / decoding method and apparatus for performing intra-prediction based on the availability of a reference pixel so as to improve encoding performance.SOLUTION: An intra-prediction method for a color copy mode checks a reference pixel region designated to obtain correlation information, determines a reference pixel processing setting based on a determination of availability of the reference pixel region, and performs intra-prediction according to the determined reference pixel processing. In addition, a candidate list for motion information prediction of the current block is generated, a control point vector of the current block is derived based on the candidate list and a candidate index, a motion vector of the current block is derived based on the control point vector of the current block, and inter prediction is performed on the current block using the motion vector.SELECTED DRAWING: Figure 14

A video coder may code a flag indicating whether or not a neural network (NN)-based intra prediction mode is enabled before coding a decoder side intra mode derivation (DIMD) flag, and code a block of video data based on whether or not the NN-based intra prediction mode is enabled.

An intra frame prediction method and apparatus based on interpolation filtering, a video encoding method and apparatus, a video decoding method and apparatus, and a system. The intra prediction method based on interpolation filtering comprises: determining, based on a determined filtering window and a reconstructed value of a sample in a reconstruction area neighboring to a current block, a filtering coefficient used to perform interpolation filtering on the current block; and performing interpolation filtering based on a sample value of a reference sample neighboring to a current sample and the filtering coefficient, to determine a predicted value of the current sample.

To provide a video encoding / decoding method for performing intra-prediction on the basis of availability of a reference pixel so as to improve encoding performance.SOLUTION: An intra-prediction method for a color copy mode checks a reference pixel region designated to obtain correlation information, determines a reference pixel processing setting based on a determination of availability of the reference pixel region, and performs intra-prediction according to the determined reference pixel processing. In addition, a candidate list for motion information prediction of the current block is generated, a control point vector of the current block is derived based on the candidate list and a candidate index, a motion vector of the current block is derived based on the control point vector of the current block, and inter prediction is performed on the current block.SELECTED DRAWING: Figure 14

A method of signaling neural network post-loop filter information for video data is disclosed. The method comprising: signaling a neural network post-filter characteristics message; signaling a syntax element specifying a padding type corresponding to the neural network post-filter characteristics message, wherein the syntax element includes a value specifying a wrap-around padding type and a value specifying a fixed padding type; and signaling a syntax element indicating a sample value to be used for padding in a case where the fixed padding type is specified.

The invention relates to the technical field of video coding and image processing, and discloses a code rate control method and system based on video image segmentation, and the method comprises the steps: carrying out the pixel-level semantic segmentation of a to-be-coded video frame sequence; extracting a foreground region of interest; calculating a corresponding segmentation uncertainty parameter; establishing semantic mutation parameters of the foreground region of interest; generating a semantic perception weight; executing region-level target code rate redistribution and quantization parameter mapping; and executing partition coding control. In the prior art, code rate control mainly depends on motion intensity or pixel complexity, and especially when a foreground target suddenly appears or disappears in a monitoring scene, a technical problem that a key target is blurred or a background code rate is wasted is easily caused. Due to the fact that the uncertainty modeling and semantic mutation sensing mechanism of the semantic segmentation result is introduced, priority coding of the foreground interest area is achieved under the frame-level code rate constraint condition, and the video coding quality and the code rate utilization efficiency are improved.

An electronic apparatus performs a method of decoding video data. The method comprises: receiving, from bitstream, a plurality of syntax elements associated with a coding unit, wherein the plurality of syntax elements indicate a size of the coding unit and a coding tree type of the coding unit; determining a minimum palette mode block size for the coding unit in accordance with the coding tree type of the coding unit; in accordance with a determination that the size of the coding unit is greater than the minimum palette mode block size: receiving, from the bitstream, a palette mode enable flag associated with the coding unit; and decoding, from the bitstream, the coding unit in accordance with the palette mode enable flag.

A method for encoding three-dimensional (3D) content represented by a dynamic mesh includes: converting geometry information from a list of vertices of the dynamic mesh to a sequence of geometry component images; encoding the sequence of geometry component images of the dynamic mesh using a video encoder to generate a geometry component bitstream; decoding the geometry component bitstream to generate reconstructed geometry component images; determining a face to be removed from connectivity component images of the dynamic mesh, the face containing a vertex in the reconstructed geometry component images; updating the connectivity component images of the dynamic mesh by removing the face from the connectivity component images; encoding the updated connectivity component images to generate a connectivity component bitstream; updating, based on updating the connectivity component images, attribute component images and mapping component images of the dynamic mesh; encoding the updated attribute component images to generate an attribute component bitstream.

The invention relates to a video coding method, a video decoding method, a bit stream storage method, a bit stream storage device, electronic equipment and a storage medium, and the method comprises the following steps: for each pixel block in a plurality of pixel blocks contained in a current video frame, executing the following operations: identifying a target semantic type of the content contained in the pixel block by using a semantic segmentation model, detecting the target saliency degree of the content contained in the pixel block by using a saliency detection model; calculating a quantization parameter increment based on the target semantic type and the target saliency degree; adjusting the quantization parameter value of the pixel block based on the quantization parameter increment; and encoding the pixel block based on the adjusted quantization parameter value.

The invention provides a video coding and compression transmission method for intelligent equipment, which belongs to the technical field of video coding and compression transmission, realizes advanced channel quality estimation by establishing a channel prediction model enhanced by a spatial transformation network, configures layered coding parameters according to a prediction result and optimizes motion search in combination with inertial measurement unit data. An optimal coding mode is selected by an application rate distortion optimization algorithm, enhancement layer sending is adjusted according to real-time feedback by adopting a dynamic transmission scheduling strategy, and differential forward error correction protection and a time-space domain error concealment mechanism are matched; the technical problem that video transmission is unstable due to violent fluctuation of channel quality when intelligent equipment moves and works in complex electromagnetic environments such as a transformer substation is solved.

Provided are an image decoding method and an image decoding apparatus, and an image encoding method and an image encoding apparatus which correspond thereto, the image decoding method including: selecting a current block from among a plurality of blocks obtained by dividing a current image; determining a plurality of transform blocks including a first transform block and a second transform block based on the current block; scaling a first direct current (DC) transform coefficient value of the first transform block using a size of the first transform block and a reference transform size to obtain a scaled first DC transform coefficient value; obtaining a prediction transform coefficient value for the second transform block based on a size of the second transform block and the scaled first DC transform coefficient value; determining a second DC transform coefficient value of the second transform block based on the prediction transform coefficient value; and restoring the current block by performing an inverse transform on the second transform block based on the second DC transform coefficient value

A method of decoding video data includes receiving, from bitstream, video data corresponding to a non-skip mode coded block; and determining a parameter set associated with the non-skip mode coded block. In accordance with a determination that the parameter set includes information that satisfies different conditions, the method further includes receiving a first syntax element, a second or a third syntax element from the bitstream, the first syntax element is received and the first syntax element has a first value, the third syntax element is received. The method further includes decoding the non-skip mode coded block based on palette mode when the first syntax element has a first value and the third syntax element has the first value; and decoding the non-skip mode coded block based on intra prediction mode when the first syntax element has the first value and the third syntax element has a second value.

A method includes generating a plurality of future reference picture lists associated with a plurality of future pictures of a set of pictures, wherein the set of pictures includes a current picture and the plurality of future pictures, and the plurality of future pictures follow the current picture in coding order, determining, based on information derived from the plurality of future reference picture lists associated with the plurality of future pictures, whether to write the current picture in a dedicated chip memory or whether to write the current picture in a non-dedicated system memory, and writing the current picture in the dedicated chip memory or the non-dedicated system memory based on the determination of whether to write the current picture in the dedicated chip memory or whether to write the current picture the non-dedicated system memory.

A method using multiple reference lines for predictive coding is provided. A video coder receives data for a block of pixels to be encoded or decoded as a current block of a current picture of a video. The video coder receives or signals a selection of first and second reference lines among a plurality of reference lines that neighbor the current block. The video coder blends the first and second reference lines into a fused reference line. The video coder generates a prediction of the current block by using samples of the fused reference line. The video coder encodes or decodes the current block by using the generated prediction.

The invention relates to the technical field of industrial visual intelligence, in particular to an intelligent image selection and switching system fusing visual features and quality scores, which comprises the following steps: receiving multiple paths of video coding streams, inter-frame motion vectors and camera parameters; generating a macro block activeness distribution map based on the video coding stream and the inter-frame motion vector, and performing local window positioning and feature reconstruction on the video coding stream to generate an enhanced video vector; calculating a confidence coefficient mean value and a consistency score of the video coding stream according to the enhanced video vector, and fusing the confidence coefficient mean value and the consistency score with a channel transmission signal-to-noise ratio and a quantization noise increment to generate a video quality score; constructing a multi-criterion optimization model, and setting a feature representation vector for the multi-criterion optimization model; mapping the viewpoint weight based on the inner product of the feature representation vector, and calculating with the video quality score to generate a video switching score; and performing priority ranking based on the video switching score, and triggering a mapping switching instruction. And realizing video image scheduling by fusing the visual features and the quality score.

A method and apparatus for video coding are disclosed. According to the method for the decoder side, encoded data associated with a current block comprising a first-colour block and a second-colour block are received. An inherited model parameter set is determined from a previously coded block coded in a first CCLM related mode, wherein the inherited model parameter set comprises a first scaling parameter associated with the first CCLM related mode. A final inherited model parameter set is derived if an update value for the inherited model parameter set is determined, where the final inherited model parameter set is determined based on the first scaling parameter and the update value. Then, the encoded data associated with the second-colour block are decoded using prediction data based on an updated CCLM related model associated with the final inherited model parameter set. A method and apparatus for the encoder side are also disclosed.

Methods and systems are described for end-to-end video coding and decoding using deep learning. Proposed fusion schemes for reference pictures and motion vector features allow single-prediction models for deep-learning video coding (DLVC) to be extended to support multi-reference prediction coding as well. Example high-level syntax to support a variety of deep learning models for bi-prediction is described as well.

A video encoder and video decoder may include a video syntax processing (VSP) engine configured to process the video data at a syntax element level, and a video pixel processing (VPP) engine configured to process the video data at a pixel level. The video encoder and video decoder may further include a controller configured to control a power of the VSP engine based on the VSP engine being idle.

A device may encode a first set of pictures of the video data to generate first encoded video data; generate first error correction data based on the first encoded video data; transmit the first error correction data and the first encoded video data to a receiving device; receive, from the receiving device, a decimation pattern indication that indicates a decimation pattern determined based on the first set of pictures, the decimation pattern being a pattern of encoded video data non-transmission; encode a second set of pictures of the video data to generate second encoded video data; generate second error correction data based on the second encoded video data; apply the decimation pattern to the second encoded video data to generate decimated video data; and transmit the second error correction data and the decimated video data to the receiving device.

The invention relates to the technical field of video coding, and discloses a dynamic code rate control method based on deep learning and terminal equipment, and the method comprises the following steps: carrying out the feature extraction of a video frame through employing a convolutional neural network, recognizing a key region in a video, and distributing a coding weight for the key region according to semantic information, the convolutional neural network performs semantic segmentation on a video frame through a pre-trained semantic segmentation network, the video frame is divided into a plurality of semantic regions, different coding weights are allocated according to the importance of the semantic regions, a higher coding weight is allocated to a key region, and a lower coding weight is allocated to a non-key region. The long-short-term memory network is adopted to model and predict the network state indexes, so that the change trends of network states such as network bandwidth, packet loss rate and delay can be accurately predicted. And the code rate is adjusted in advance based on the prediction result, so that video coding can dynamically adapt to rapid change of a network environment.

A video coding method using decoder-side intra mode derivation (DIMD) based on multiple histograms of gradients (HoGs) is provided. A video coder receives data to be encoded or decoded as a current block of a current picture of a video. The video coder derives a plurality of HoGs for different intra prediction angles. Different HoGs are derived based on different sets of reconstructed pixels neighboring the current block. The video coder selects a HoG from the plurality of HoGs. The video coder identifies one or more intra prediction modes based on the selected HoG. The video coder generates an intra-prediction of the current block based on the identified one or more intra prediction modes. The video coder encodes or decodes the current block by using the generated intra-prediction.