WO2013143286A1 - 基于多描述视频编码、解码方法、装置及系统 - Google Patents
基于多描述视频编码、解码方法、装置及系统 Download PDFInfo
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- WO2013143286A1 WO2013143286A1 PCT/CN2012/084204 CN2012084204W WO2013143286A1 WO 2013143286 A1 WO2013143286 A1 WO 2013143286A1 CN 2012084204 W CN2012084204 W CN 2012084204W WO 2013143286 A1 WO2013143286 A1 WO 2013143286A1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/103—Selection of coding mode or of prediction mode
- H04N19/105—Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/132—Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/136—Incoming video signal characteristics or properties
- H04N19/137—Motion inside a coding unit, e.g. average field, frame or block difference
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/136—Incoming video signal characteristics or properties
- H04N19/137—Motion inside a coding unit, e.g. average field, frame or block difference
- H04N19/139—Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
- H04N19/172—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a picture, frame or field
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
- H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/30—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using hierarchical techniques, e.g. scalability
- H04N19/39—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using hierarchical techniques, e.g. scalability involving multiple description coding [MDC], i.e. with separate layers being structured as independently decodable descriptions of input picture data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/46—Embedding additional information in the video signal during the compression process
- H04N19/463—Embedding additional information in the video signal during the compression process by compressing encoding parameters before transmission
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
- H04N19/587—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal sub-sampling or interpolation, e.g. decimation or subsequent interpolation of pictures in a video sequence
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/65—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using error resilience
- H04N19/66—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using error resilience involving data partitioning, i.e. separation of data into packets or partitions according to importance
Definitions
- the present invention relates to the field of video codec technology, and in particular, to a multi-description video coding, decoding method, apparatus and system. Background technique
- Multi-description coding As a technique for improving the robustness of transmission on error-prone channels, multi-description coding has attracted more and more scholars' research. It can be assumed that there are many channels between the source and the sink, and it is impossible for all channels to be erroneous in one video frame at the same time. Multi-description coding is proposed on the basis of this assumption.
- a plurality of bit streams (referred to as descriptions) are generated at the source of the encoding end, and each bit stream has the same priority and is transmitted on a plurality of channels.
- each description can be independently decoded to reconstruct a video sequence that the user can receive quality; as the number of descriptions received increases, the quality of the reconstructed video sequence increases.
- This patent is primarily for the case of two channels. In the case of the usual two channels, the distortion generated by receiving all the two-way description is called center distortion, and the distortion generated by receiving a certain description is called single-channel distortion.
- a multi-description video encoding method comprising the steps of:
- the edge information of different modes is generated and encoded using the correlation of macroblock levels between different descriptions; channel transmission.
- the odd frame even frames are separated to generate an initial description and encoding, specifically parity frame separation, and the parity frames are respectively encoded using a standard encoding algorithm by describing intra-correlation.
- the standard coding algorithm is H.264 coding.
- the correlation within the description /? into the correlation coefficient of the motion compensation in the same description is the correlation coefficient between the current block and its previous motion compensation block
- Cov( H ) , 1 is the motion compensation block in frame k ⁇ , if
- the macroblocks in frame k, and the covariance are Cov(A, ), and their variances are, in turn, D(Bl);
- the three redundant allocation methods are as follows :
- the mode is defined as Mode l ;
- Mode 2 In This uses bidirectional motion estimation to find motion vectors in odd frames;
- the even frame estimation odd frame corresponds to the odd frame estimation even frame described above.
- a multi-description video encoding apparatus including: The odd-numbered frames are separated to generate an initial description and encoding module for separating the video sequences into parity frames, and the parity frames are respectively described for intra-correlation calculation and then subjected to standard encoding;
- a multi-description video decoding method is provided. If two channels are working normally, two bit streams can be decoded into two video subsequences, and then the two video subsequences can The central video sequence is reconstructed; if only one channel works normally, the single decoder will estimate the missing information according to different modes. In Mode l, the lost frame can be directly reconstructed by the MCI method.
- the MCI method uses bidirectional motion estimation, using / to represent the estimated frame between frame ⁇ and frame +1 , and 5) to represent the motion vector of the pixel moving position. In order to avoid the void in the reconstructed image, one can be calculated. Preliminary reconstruction of the frame as a background,
- forward motion compensation and backward motion compensation respectively correspond to frames
- a multi-description video decoding apparatus comprising: a standard decoder: for decoding;
- a multi-description video codec system comprising a multi-description video encoding device and a multi-description video decoding device.
- the odd frames of the odd-numbered frames are separated at the encoding end to produce an initial description, which guarantees compatibility with current codecs, such as the H.26x or MPEG series.
- the edge information of the different modes is generated by the correlation of the macroblock levels between the different descriptions. At the decoding end, these side information helps to better estimate the missing information for better decoding reconstruction quality.
- the flexible Skip mode is realized by describing the intra macroblock level correlation.
- FIG. 1 is a flow chart of an encoding method in accordance with one embodiment of the present invention.
- FIG. 2 is a block diagram of an encoding device in accordance with one embodiment of the present invention.
- Figure 3 is a block diagram of a system in accordance with one embodiment of the present invention
- Figure 4a and Figure 4b are diagrams of the "Mobile.qcif"sequence
- Figure 5a and Figure 5b show the effect of single-channel reconstruction for each frame
- Figure 6 is a sequence diagram of the "Paris.cif" sequence.
- a multi-description video coding method includes the following steps:
- the odd frame even frames are separated to generate an initial description and encoded
- a multi-description video encoding apparatus includes:
- the odd frame even frames are separated to generate an initial description and encoding module 1 for separating the video sequences into odd and even frames, and the parity frames are respectively described to describe the correlation and then perform standard encoding;
- the edge information of different modes is generated by using the correlation of macroblock levels between different descriptions and encoding module 2 for generating side information coding of different modes by calculating correlation between parity descriptions;
- the parity frame is separated first, and the original video sequence is divided into an odd frame and an even frame subsequence, so that each subsequence has broad compatibility.
- two video subsequences i.e., odd and even frames, can be treated as the original description.
- the original video sequence can be subjected to multiple time domain samples to produce multiple descriptions. This patent is primarily directed to the two described cases.
- the second step the generation of side information
- the macroblock-level correlation between the descriptions 21 is used to generate the side information.
- an odd frame is taken as an example.
- the task is to use the even frames at the decoder to generate some useful side information.
- MCI motion-compensated interpolation
- the macroblock in the even frame & is the macroblock in the estimated frame &.
- the three redundant allocation methods are as follows: If inte C3 ⁇ 4, it indicates that the correlation coefficient can well estimate the block in the lost even frame in single-reconstruction; Next, without additional insertion redundancy, this mode is defined as Mode l;
- the true motion vector of the macroblock in the even frame is considered to be important side information, which is defined as Mode 2, where the motion vector is found in the odd frame using bidirectional motion estimation.
- the introduced redundancy may affect the compression efficiency. Therefore, the redundancy inside each description should be effectively removed.
- a flexible Skip mode is proposed in this patent, which makes good use of the correlation 12, 14 describing the intra macroblock level.
- the correlation within the description (labeled / / intra ) depends on the correlation coefficient of motion compensation within the same description. Therefore, ⁇ is the correlation coefficient between the current block and its previous motion compensation block,
- the block ⁇ ⁇ can be encoded using the Skip mode. Therefore, the flexible Skip mode can be adapted to the correlation coefficients in the description. Compared with the fixed frequency Skip mode, the adaptive Skip mode can better maintain the temporal correlation between frames. If the information in the description is lost, the decoder can obtain a better error concealment method.
- Step 4 Standard coding
- Each of the video sequences of the current standard codec 13, 15 can be encoded into a bit stream.
- the H.264 encoder is chosen, and it is obvious that the proposed scheme has wide compatibility.
- the residuals that appear in Mode 3 can also be compressed with H.264 intra coding.
- the transmission channels 31, 32 are transmitted.
- Step 5 Video reconstruction on the decoder side
- the standard decoders 41, 42 are first decoded, and the side information reconstructions 43, 44, and the frame interlaces 51 are used to recover the video signal. If both channels are working properly, the two bitstreams can be decoded into two video subsequences, and then the two video subsequences can reconstruct the central video sequence.
- the adaptive Skip mode can offset the effects of a portion of the redundant side information due to the presence of intra-matrix level correlation. Therefore, the compression efficiency does not decrease rapidly as the redundancy increases. If only one channel is working properly, the single decoder will estimate the missing information according to different modes. In Mode 1, the missing frames can be reconstructed directly using the MCI method.
- the MCI method used here uses bidirectional motion estimation.
- the estimated frame between frame ⁇ and frame / +1 is represented by /, and the motion vector of the pixel moving position is represented by 5).
- a preliminary reconstructed frame can be computed as the background.
- forward motion compensation and backward motion compensation correspond to frame +1 +1 and frame ⁇ , respectively.
- the average of the overlapping pixels is used as motion compensation. Then, this preliminary background will be replaced by the pixels obtained in (4).
- Figure 4a and Figure 4b show the comparison of the single-channel and central reconstruction quality of the proposed "Mobile.qcif" sequence with the total bit rate from 100kbps to 800kbps.
- the traditional scheme here refers to the unprocessed The scheme of directly performing parity frame separation. Since the direct parity frame separation is used, the conventional scheme has poor single-channel reconstruction quality, as shown in Fig. 4a.
- the reference scheme refers to the document ' ⁇ . Bai, Y. Zhao, C. Zhu, A. Wang, “Multiple description video coding using joint frame duplication/interpolation," Computing and Informatics, vol. 29, pp. 1267-1282.
- FIG. 2010 proposed frame-level redundancy allocation scheme
- Figure 4b shows that the reference scheme has poor center reconstruction quality due to the use of frame-level redundancy allocation. It can be seen from Fig. 4a and Fig. 4b that the proposed scheme achieves better quality regardless of single-channel reconstruction or central reconstruction. This is just a PSNR value that takes into account the average of all videos. In fact, the proposed scheme has made more improvements in some frames.
- Figures 5a and 5b show the PSNR values for each frame from 200 to 300 frames for the proposed and reference schemes at a total bit rate of 400 kbps. It can be seen that the proposed scheme achieves a 10 10 dB gain compared to the reference scheme at 290 frames.
- Figure 6 shows the rate-distortion performance of the "Paris.cif" sequence in the range of 400kbps to 1800kbps. From the experimental results, the proposed scheme has a 0.5-1.7 dB quality compared to the single-channel reconstruction of the reference scheme. The improvement in center reconstruction has a 0.5-1 dB improvement.
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US14/385,801 US9538185B2 (en) | 2012-03-30 | 2012-11-07 | Multi-description-based video encoding and decoding method, device and system |
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CN102630012B (zh) * | 2012-03-30 | 2014-09-03 | 北京交通大学 | 基于多描述视频编码、解码方法、装置及系统 |
CN103501441B (zh) * | 2013-09-11 | 2016-08-17 | 北京交通大学长三角研究院 | 一种基于人类视觉系统的多描述视频编码方法 |
US9939253B2 (en) * | 2014-05-22 | 2018-04-10 | Brain Corporation | Apparatus and methods for distance estimation using multiple image sensors |
CN105024795B (zh) * | 2015-08-12 | 2018-03-06 | 西安电子科技大学 | 长期演进lte上行链路边信息间接传输方法 |
CN105657541A (zh) * | 2015-12-29 | 2016-06-08 | 华为技术有限公司 | 一种帧处理方法及装置 |
US10628165B2 (en) * | 2017-08-17 | 2020-04-21 | Agora Lab, Inc. | Gain control for multiple description coding |
CN107995493B (zh) * | 2017-10-30 | 2021-03-19 | 河海大学 | 一种全景视频的多描述视频编码方法 |
KR20220090493A (ko) * | 2019-08-06 | 2022-06-29 | 오피 솔루션즈, 엘엘씨 | 블록-기반 적응적 해상도 관리 |
CN113038126B (zh) * | 2021-03-10 | 2022-11-01 | 华侨大学 | 基于帧预测神经网络的多描述视频编码方法和解码方法 |
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CN101621690A (zh) * | 2009-07-24 | 2010-01-06 | 北京交通大学 | 基于Wyner-Ziv理论的两描述视频编码方法 |
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