100results about How to "Improve codec performance" patented technology

The invention provides a method and a device for image prediction. The method comprises the steps of: obtaining a first reference unit of an image unit, wherein the image unit and the first reference unit obtain respective predicted images by using the same affine model; obtaining motion information of basic motion compensation units at the at least two preset positions of the first reference unit; and obtaining the motion information of the basic motion compensation units of the image unit. Therefore, by multiplexing the motion information of the first reference unit which adopts the same affine pre-model, a motion vector of the current image unit is obtained more exactly, the coding and decoding complexity is kept while the prediction accuracy is improved, and the coding and decoding performance is improved.

The invention discloses a method and a device for encoding and decoding a video. The method comprises the following steps: executing a selection of an intra frame predictive mode according to available adjacent blocks, writing in the available marks of each adjacent block in a code stream when the selected intra frame encoding mode is a limited DC predictive mode; thus, determining that the limited DC predictive mode is adopted for encoding by a current block at an decoding end, and then analyzing the available marks for indicating whether adjacent blocks are available, and determining available adjacent blocks according to the available marks of the adjacent blocks so as to perform decoding operation according to available adjacent blocks based on the DC predictive mode. The embodiment of the invention can set availability of left adjacent blocks and upper adjacent blocks of the DC mode when the intra frame encoding mode is the DC predictive mode, thereby ensuring the error recovery performance to improve the performance of encoding and decoding in a video communication system.

Speech signal classification and encoding systems and methods are disclosed herein. The signal classification is done in three steps each of them discriminating a specific signal class. First, a voice activity detector (VAD) discriminates between active and inactive speech frames. If an inactive speech frame is detected (background noise signal) then the classification chain ends and the frame is encoded with comfort noise generation (CNG). If an active speech frame is detected, the frame is subjected to a second classifier dedicated to discriminate unvoiced frames. If the classifier classifies the frame as unvoiced speech signal, the classification chain ends, and the frame is encoded using a coding method optimized for unvoiced signals. Otherwise, the speech frame is passed through to the “stable voiced” classification module. If the frame is classified as stable voiced frame, then the frame is encoded using a coding method optimized for stable voiced signals. Otherwise, the frame is likely to contain a non-stationary speech segment such as a voiced onset or rapidly evolving voiced speech signal. In this case a general-purpose speech coder is used at a high bit rate for sustaining good subjective quality.

The invention provides a video image coding method, a video image decoding method, a coding device and a decoding device. The video image coding method comprises the steps of determining the motion vector difference of an affine image block; determining the motion vector precision of the affine image block; determining the size of an affine motion compensation sub-image block in the affine image block according to the motion vector difference, the motion vector precision and the distance between control points in the affine image block, wherein the control points are used for determining pixel points of the motion vector difference; and carrying out coding processing on the affine image block according to the size of the affine motion compensation sub-image block. Therefore, the video image coding method can reduce the coding complexity and improve the coding performance through selecting a sub-image block with an appropriate size.

Improved method of encoding and repairing data for reliable storage and transmission using erasure codes, which is efficient enough for implementation in software as well as hardware. A systematic linear coding matrix over GF(2^q) is used which combines parity for fast correction of single erasures with the capability of correcting k erasures. Finite field operations involving the coding and repair matrices are redefined to consist of bitwise XOR operations on words of arbitrary length. The elements of the matrix are selected to reduce the number of XOR operations needed and buffers are aligned for optimal processor cache efficiency. Decode latency is reduced by pre-calculating repair matrices, storing them in a hashed table and looking them up using a bit mask identifying the erasures to be repaired.

An encoding apparatus is provided. The encoding includes a low density parity check (LDPC) encoder which performs LDPC encoding on input bits based on a parity-check matrix to generate an LDPC codeword formed of 64,800 bits, in which the parity-check matrix includes an information word sub-matrix and a parity sub-matrix, the information word sub-matrix is formed of a group of a plurality of column blocks each including 360 columns, and the parity-check matrix and the information word sub-matrix are defined by various tables which represent positions of value one (1) present in every 360-th column.

The present invention relates to a video encoding method and apparatus for setting and encoding quantization parameters, and to a video decoding method and apparatus for decoding and setting quantization parameters in a video encoding and decoding apparatus which uses blocks having various sizes and depths as encoding and decoding units.

The present invention discloses a code integrating system and method and a decode integrating system and method, which belongs to the multimedia signal processing and information source coding field. The code integrating system comprises a receiving module, an extracting module, a sort module, a sub-coder, a control module, a merge module and a packing and transmitting module; the decode integrating system comprises a receiving and unpacking module, an analyzing module, a sub-decoder, a control module and a buffer memory outputting module. The code integrating method comprises that relevant information is extracted from the multimedia signal and one route main signal; the main signal or the multimedia signal is classified; the main signal is coded by the sub-coder, and then merged with various parameters and outputted after packing. The decode integrating method comprises that code stream data is received, the main signal is gained by decoding after unpacking and analyzing, and the main signal or the processed main signal is outputted. The present invention can fully exert the ascendancy of various individualized multimedia coder, and meet the requirements of subjective feeling characteristics and different channels.

According to embodiments, point cloud data transmission method may include encoding point cloud data, encapsulating a bitstream that includes the encoded point cloud data and signaling data into a file, and transmitting the file, the bitstream is stored either in a single track or in multiple tracks of the file, the signaling data include at least one parameter set, and the encoded point cloud data include a geometry bitstream containing geometry data and an attribute bitstream containing attribute data.

An encoding apparatus is provided. The encoding apparatus includes: a low density parity check (LDPC) encoder configured to generate an LDPC codeword formed of 16200 bits by performing LDPC encoding based on a parity check matrix, wherein the parity check matrix includes an information word sub-matrix and a parity sub-matrix, the information word sub-matrix being formed of a plurality of column groups each including 360 columns and being defined as a table indicating a position of one (1) present in each 360-th column.

A method of encoding and decoding using an LDPC code is disclosed, by which encoding and decoding performance can be enhanced and which can be effectively applied to a communication system employing a variable data rate. In encoding or decoding an input data using a parity check matrix H, the present invention is characterized in that the parity check matrix H has a configuration of H=[H_dI H_p] (H is (n−k)×n dimensional, k is a bit number of the input data, and n is a bit number of a codeword), wherein the parity check matrix H includes a first part having a column weight of wc and a second part having a column weight of W_c+W_a (W_a/W_c≠0).

An encoding apparatus is provided. The encoding includes a low density parity check (LDPC) encoder which performs LDPC encoding on input bits based on a parity-check matrix to generate an LDPC codeword formed of 64,800 bits, in which the parity-check matrix includes an information word sub-matrix and a parity sub-matrix, the information word sub-matrix is formed of a group of a plurality of column blocks each including 360 columns, and the parity-check matrix and the information word sub-matrix are defined by various tables which represent positions of value one (1) present in every 360-th column.

A system, method and computer program product for improving video codec performance, including a pre-processing stage configured for downscaling by a variable amount an uncompressed video signal before sending such downscaled, uncompressed video signal to an input of a video codec; and a complimentary post-processing stage configured for upscaling the decompressed video signal received from an output of the video codec back to its original resolution before transmitting the decompressed video signal. The system, method and computer program product provides improved rate-distortion performance compared to direct use of the video codec alone.

A method of encoding and decoding using an LDPC code is disclosed, by which a memory for storing a parity check matrix necessary for the encoding or decoding using the LDPC code and calculation amount and complexity necessary for the encoding or decoding can be reduced. The present invention includes a step of encoding an input data using a parity check matrix H having a configuration of H=[H_d|H_p] (H_d is (n−k)×k dimensional, H_p is (n−k)×(n−k) dimensional, k is a bit number of the input data, and n is a bit number of a codeword), wherein if the H_d comprises a plurality of sub-matrices, each of the sub-matrices has predetermined regularity in a row or column weight.

The invention provides a network model training method, an image processing method and related equipment, and relates to the technical field of images. The network model training method comprises the steps: obtaining a first training image pair; training an initial generator by using the first training image pair to obtain an intermediate generator; obtaining a second training image pair; and training an initial network model by using the first training image pair and the second training image pair to obtain a first target network model. A deep learning method is utilized, demosaicing, noise reduction and super-resolution are carried out in a combined mode, and in the process of converting the image of an RAW domain into the image of an RGB domain, the purposes of reducing noise, reducing ghosting and improving the definition of the image are achieved.

The embodiment of the invention discloses a training method and device of an interpolation filter, a video image coding and decoding method, and a codec. According to the method, a traditional interpolation filter is employed for interpolation to obtain a first sub-pixel image as label data, so as to train a second interpolation filter, so the second interpolation filter obtained by training can be directly used for interpolation to obtain the pixel value of the first sub-pixel position, the label data is more accurate, and the encoding and decoding performance of the video image is improved.According to the coding method, in an inter-frame prediction process; a target interpolation filter for the current coded image block is determined from a candidate interpolation filter set, so the encoder selects the proper interpolation filter to perform interpolation operation according to the content of the current encoded image block, so that the obtained prediction block predicts the prediction block with higher accuracy, the code stream is reduced, and the compression ratio of the video image is improved.

The invention discloses a method, system and module for self-adaptive hardware coding and decoding. According to the method, the hardware coding and decoding devices of embedded equipment is called for coding and decoding; the method comprises the following steps: one or more coding and decoding plug-in units are stored in advance, each hardware coding and decoding device corresponds to one coding and decoding plug-in unit, and all the coding and decoding plug-in units abide by a predefined interface; the coding and decoding plug-in units are introduced, and corresponding hardware coding and decoding devices are loaded; data streams are coded or decoded. According to the invention, by dynamically loading the plug-in units, the problem of complex management and low compatibility of different platforms is solved; by reasonably dispatching the hardware coding and decoding devices in an embedded chip, the capability of coding and decoding of a system can be enhanced, and accordingly, the quality of videos is improved.

[Object] To moderate a dependent relationship between blocks and thus improve encoding or decoding performance.

[Solution] Provided is an image processing device including: a search unit configured to search for an intra-prediction mode for each prediction block included in an image to be encoded; and a control unit configured to determine whether a chroma format is 4:2:2 and to limit a search range of intra-prediction modes of the search unit to a predetermined range in which no upper reference pixels are referred to with respect to a prediction block of chrominance components in a case where the chroma format is determined to be 4:2:2.