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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Lili Meng Jie Liang Yao Zhao Huihui Bai Chunyu Lin Andre Kaup Institute of Information Science Beijing Jiaotong University Beijing China School of Engineering Science Simon Fraser University Burnaby BC Canada University of Erlangen-Nuremberg Erlangen Germany

ISBN: (纸本)9781479903573

This paper proposes an improved source-splitting-based two-rate M-channel multiple description coding scheme, where the source is split into M subsets. In each description, one subset is coded at a high rate, and others are predictively coded at a low rate. Uniform offsets among low-rate quantizers of different descriptions are achieved by employing unequal deadzones and by quantizing the predictions. When several descriptions are received, the optimal reconstruction of each subset is achieved by finding the intersection of all received quantization bins. The closed-form expression of the expected distortion is obtained. The proposed scheme is applied to lapped transform-based multiple description image coding and achieves improved performance. The optimal deadzone selection and its impact are also given in this paper.

关键词： quantizer multiple description coding offsets Closed-form solutions Subset

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Lattice-Based Robust Distributed Source coding for Three Correlated Sources

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IEEE TRANSACTIONS ON COMMUNICATIONS 2020年第7期68卷 4089-4103页

作者： Dumitrescu, Sorina Elzouki, Dania Chen, Jun McMaster Univ Dept Elect & Comp Engn Hamilton ON L8S 4K1 Canada

The problem of robust distributed source coding for three correlated sources is studied in this work. A lattice-based scheme is proposed and the analysis of its performance is provided in the high resolution regime. Special attention is paid to the degenerate case where the three sources are Gaussian and identical. In this case, our scheme is shown to achieve within an asymptotic gap of 0.069 bits in terms of rate per description from the information-theoretic limit of quadratic symmetric Gaussian multiple description coding with central and individual decoders, when the side distortion and the ratio between the central and side distortions both approach 0.

关键词： Lattices Decoding Robustness Source coding Distortion Indexes Correlated sources distributed source coding lattice quantization asymptotic performance analysis high resolution multiple description coding

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SCALABLE VS. multiple-description VIDEO coding FOR ADAPTIVE STREAMING OVER PEER-TO-PEER NETWORKS

SCALABLE VS. MULTIPLE-DESCRIPTION VIDEO CODING FOR ADAPTIVE ...

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20th IEEE International Conference on Image Processing (ICIP)

作者： Bagci, K. Tolga Gurler, C. Goktug Tekalp, A. Murat Koc Univ Coll Engn Istanbul Turkey

ISBN: (纸本)9781479923410

Both scalable video coding (SVC) and multiple description coding (MDC) have been evaluated in the literature for adaptive streaming over peer-to-peer (P2P) networks. However, these evaluations have used either unrealistic or too specific P2P topologies or omitted considering key video coding parameters such as compression efficiency and redundancy. In this study, we evaluate the performances of SVC, MDC and scalable multiple description coding (SMDC) with network-level adaptation schemes under varying peer bandwidth, average end-to-end delay, and peer exit ratio, as well as MDC redundancy levels. Extensive test results help us to reach conclusions regarding under which conditions SVC, MDC or SMDC should be preferred to achieve a reliable video service over mesh P2P overlays.

关键词： Peer-to-peer video streaming scalable video coding multiple description coding

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A Novel multiple description Video coding Based on Data Reuse

A Novel Multiple Description Video Coding Based on Data Reus...

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20th IEEE International Conference on Image Processing (ICIP)

作者： Dong, Meng Cai, Canhui Ma, Kai-Kuang Huaqiao Univ Sch Informat Sci & Technol Xiamen 361021 Peoples R China Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore

ISBN: (纸本)9781479923410

A novel H.264-based multiple description coding (MDC) framework, called data reuse MDC (DR-MDC), is proposed in this paper. The input video sequence is first down-sampled by a factor of two in both horizontal and vertical directions, respectively, on each frame to generate four sub-sequences, followed by grouping them into two descriptions via the quincunx manner. In each description, one sub-sequence is directly encoded by applying the H.264/AVC encoder, while the other is examined at each macroblock (MB) to determine whether the encoding of the current MB should be conducted or skipped completely based on the following criterion: If the MB is considered locating in a homogeneous or still background region, the encoding process will be skipped. Otherwise, the neighboring prediction algorithm will be used to predict the pixel values of this MB, and the resultant prediction errors will be further encoded and transmitted. Experimental results have shown that the proposed DR-MDC scheme is more error resilient and yields better reconstructed video than the existing state-of-the-art MDC methods.

关键词： H.264/AVC multiple description coding data reuse neighboring prediction

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LDGM-Based multiple description coding for Finite Alphabet Sources

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IEEE TRANSACTIONS ON COMMUNICATIONS 2012年第12期60卷 3671-3682页

作者： Zhang, Ying Dumitrescu, Sorina Chen, Jun Sun, Zhibin McMaster Univ Dept Elect & Comp Engn Hamilton ON L8S 4K1 Canada

This work presents an LDGM-based practical successive coding scheme for the multiple description (MD) problem for finite alphabet sources. The scheme, which targets the Zhang-Berger (ZB) rate-distortion region, is shown to be asymptotically optimal with joint typicality encoding, while as a practical encoding solution a message passing algorithm is adopted. We further discuss in more detail the application of the coding scheme in three cases of the MD problem with the Hamming distortion measure: 1) no excess sum-rate for binary sources, 2) successive refinement, and 3) no excess marginal rate for the uniform binary source. In the no excess sum-rate case some progress is made in the characterization of fundamental limits by deriving the analytical expression of the distortion region for general binary sources, and of the auxiliary variables needed to achieve its boundary. The exact expression of the Zhang-Berger upper bound to the central distortion is also provided for the case of no excess marginal rate for the uniform binary source. The proposed LDGM-based coding scheme is tested in practice for all three aforementioned cases. The experimental results show very good performance, demonstrating its ability to approach the theoretical rate-distortion limits or the available upper bounds.

关键词： Lossy source coding low-density generator matrix code message-passing algorithm multiple description coding

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multiple description video coding based on forward error correction within expanding windows

Multiple description video coding based on forward error cor...

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20th IEEE International Conference on Image Processing (ICIP)

作者： Lin, Chunyu Zhao, Yao Xiao, Jimin Tillo, Tammam Beijing Jiaotong Univ Inst Informat Sci Beijing Key Lab Adv Informat Sci & Network Beijing Peoples R China Univ Liverpool Dept Elect Engn & Elect Liverpool L69 3GJ Merseyside England Xian Jiaotong Liverpool Univ Dept Elect & Elect Engn Suzhou Peoples R China

ISBN: (纸本)9781479923410

In this paper, an MDC scheme based on forward error correction(FEC) within expanding windows is proposed. Firstly, the video sequence will be coded into source packets with/without slice group enabled. Secondly, the appropriate FEC packets are inserted according to the packet loss rate. Since the previous frames in a GOP is generally more important than the following frames in the GOP, an expanding window is exploited so that the FEC packets for the current frame will also protect the previous frames in the window. After this, the source packets with the inserted FEC packets will be divided into two descriptions and transmitted into two independent channels. When some packets in one description are lost, FEC decoding will try to recover the lost packets. Through this scheme, the source packets can get appropriate protection while the compression efficiency will not be degraded too much. The experimental results show that the proposed scheme outperforms the compared schemes up to 3dB.

关键词： Video coding multiple description coding forward error correction

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Region of Interest (ROI) based Scalable multiple description Image coding using MDSQ-SR

Region of Interest (ROI) based Scalable Multiple Description...

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9th IEEE International Conference on Emerging Technologies (ICET)

作者： Sumbal, Ruhma Majid, Muhammad Anwar, Syed Muhammad Univ Engn & Technol Taxila Dept Comp Engn Taxila 47050 Pakistan

ISBN: (纸本)9781479934560;9781479934577

In this paper a novel region of interest (ROI) based scalable multiple description image coding technique using multiple description scalar quantizer with successive refinement (MDSQ-SR) is proposed. Visual attention model using graph based visual saliency is used to find the region of interest in the image. ROI based scalable multiple descriptions are then generated by selecting different refinement layers of the side quantizer of MDSQ-SR for the interested and uninterested regions of the image. More number of refinement layers are selected for the interested part as compared to the uninterested part. However, the different refinement layer selection is performed in such a way that the rate distortion constraints of the multiple description coding are satisfied i.e. the joint decoding quality is better than the side decoding quality at particular rate. The proposed scheme is evaluated under lossless and lossy channel conditions. In lossless channels conditions, PSNR of the decoded image using region of interest based scalable multiple description image coding is increased by 0.6 dB when compared with scalable multiple description image coding using MDSQ-SR. The average PSNR improvement of the proposed scheme is almost 0.7dB under lossy channel conditions.

关键词： Region of interest multiple description coding scalability reliability

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ADAPTIVE ERROR CONCEALMENT FOR multiple description VIDEO coding USING ERROR ESTIMATION

ADAPTIVE ERROR CONCEALMENT FOR MULTIPLE DESCRIPTION VIDEO CO...

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Picture coding Symposium (PCS)

作者： Gadgil, Neeraj Comer, Mary L. Delp, Edward J. Purdue Univ Sch Elect & Comp Engn Video & Image Proc Lab VIPER W Lafayette IN 47907 USA

ISBN: (纸本)9781479902941

multiple description coding (MDC) is an error resilient video coding method suitable for real-time applications when retransmission is unacceptable. A four description MDC architecture is described with temporal and spatial error concealment capabilities at the decoder. In this paper, we present an adaptive error concealment method using error estimation. Experimental results demonstrate the efficacy of the proposed method.

关键词： multiple description coding adaptive error concealment error estimation

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Gaussian multiple description coding with Low-Density Generator Matrix Codes

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IEEE TRANSACTIONS ON COMMUNICATIONS 2012年第3期60卷 676-687页

作者： Chen, Jun Zhang, Ying Dumitrescu, Sorina McMaster Univ Dept Elect & Comp Engn Hamilton ON L8S 4K1 Canada

It is shown that the coding problem for an arbitrary point on the dominant face of an L-description El Gamal-Cover (EGC) region can be converted to that for a vertex of a K-description EGC region for some K <= 2L - 1, where the latter problem can be solved via successive coding. A practical scheme is proposed for the quadratic Gaussian case by reducing each step in successive coding to a Gaussian quantization operation and implementing such an operation using low-density generator matrix codes. The effectiveness of this scheme is verified through extensive simulation experiments.

关键词： Lossy source coding low-density generator matrix message-passing algorithm multiple description coding quantization splitting

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Flexible Adaptive multiple description coding for Video Transmission

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2012年第1期22卷 1-11页

作者： Kamnoonwatana, Nawat Agrafiotis, Dimitris Canagarajah, C. Nishan Univ Bristol Dept Elect & Elect Engn Bristol BS8 1UB Avon England

A channel adaptive multiple description video codec is presented with flexible redundancy allocation based on modeling and minimization of the end-to-end distortion. We employ a three-loop multiple description coding scheme for which we develop models that estimate the rate-distortion performance of the side encoders as well as the overall end-to-end distortion given channel statistics. A simple yet effective algorithm is formulated for determining appropriate levels of redundancy given a total bit rate and channel estimates in the form of packet error rates. The experimental results presented validate the proposed models over various channels conditions. The performance and adaptivity of the codec is evaluated through extensive simulations with a 2 x 2 wireless multiple input multiple output system. A gain of more than 10 dB can be achieved compared to a non-adaptive system and even larger gains can be had relative to typical single description transmissions.

关键词： MIMO systems multiple description coding rate allocation source-channel video coding

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