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Total-variation based picture reconstruction in multiple description image and video coding

SIGNAL PROCESSING-IMAGE COMMUNICATION 2012年第2期27卷 126-139页

作者： Zhu, Shuyuan Yeung, Siu-Kei Au Zeng, Bing Wu, Jiying Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Kowloon Hong Kong Peoples R China

This paper studies how to reconstruct pictures with the best possible quality upon receiving more than one description at the decoder side of a multiple description coding (MDC) system, assuming that an MDC encoder has been fixed at the encoder side to generate multiple descriptions. To this end, we formulate the problem into a total variation (TV) regularized optimization in which all received descriptions are regarded as targets to form multiple fidelity terms. Two solutions are then developed. First, we solve a standard Lagrange-type optimization involving multiple Lagrange multipliers, and this approach is applicable to any MDC encoder. Second, when multiple quantizers with different step-sizes or dead-zones are used to generate individual descriptions, we make use of the intersection of the overlapped quantization intervals (in the transform domain) in all received descriptions. Both solutions are demonstrated to offer a quality gain (subjective as well as objective) over what can be achieved in the existing methods. In particular, the second approach is found to offer the best gain consistently when a large number of descriptions are needed. (C) 2011 Elsevier B.V. All rights reserved.

关键词： multiple description coding Joint decoding multiple description scalar quantization Total variation

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Redundancy controllable scalable unbalanced multiple description bitstream generation for peer-to-peer video streaming

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SIGNAL PROCESSING-IMAGE COMMUNICATION 2012年第5期27卷 496-512页

作者： Majid, Muhammad Abhayaratne, Charith Univ Sheffield Dept Elect & Elect Engn Sheffield S1 3JD S Yorkshire England

In peer-to-peer video streaming, the robustness to peer and packet losses is regarded very important in order to enjoy a good quality of experience. multiple description coding (MDC) schemes are known to provide high robustness to packet losses. In peer-to-peer streaming in addition to high robustness, efficient controllability of data rate and redundancy among the data streams from peers is also vital. In this paper, a novel framework for scalable multiple description coding scheme for peer-to-peer video streaming is presented by addressing these requirements. The proposed MDC solution is based on the multiple description scalar quantization (MDSQ) by addressing the joint decoding of unbalanced descriptions and addition of jointly decodable successive refinement layers to side descriptions. Firstly, the design conditions for MDSQ with constrained successive refinement to obtain scalable multiple description streams where the bit streams can be truncated at any point to obtain lower quality spatial temporal descriptions are firstly proposed. Then the design conditions for joint decoding of two or more side descriptions from different multiple description scalar quantizers, originating from various bin spread factors leading to controllable redundancy are proposed. These design conditions enable joint redundancy and data rate control for streams coming from different peers, thereby, enabling high robustness to packet losses as well as peer losses with the adaptability of redundancy levels and truncation of scalable streams. The proposed design constraints are used within the motion compensated temporal filtering (MCTF) framework to demonstrate its advancement in robust peer-to-peer video streaming. The results show significant improvements over conventional MDC based on simple MSDQ and over single description scalable video. (C) 2012 Elsevier B.V. All rights reserved.

关键词： Peer-to-peer networks Robust video streaming Scalable video multiple description coding multiple description scalar quantization

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A Total Variation Based Approach for Composing Better Pictures in multiple description Coding

A Total Variation Based Approach for Composing Better Pictur...

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Conference on Visual Communications and Image Processing (VCIP)

作者： Zhu, Shuyuan Zeng, Bing Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9780819482341

One of the important issues in multiple description coding (MDC) for image and video signals is to compose pictures of the "best" quality when more than one description is received at the decoder side. To this goal, a transform-domain overlapping technique combined with some necessary translations in the transform domain is proposed in the popular MDC schemes with staggered quantizers. However, the achievable gain is rather limited. In this paper, we formulate this enhancement problem as a total variation (TV) regularized optimization constrained by the knowledge of the quantization intervals of the DCT coefficients of each composed picture. In this TV-based approach, the transform-domain overlapping technique is used to find the more accurate quantization intervals in which the true DCT coefficients will fall while receiving more than one description. Simulation results demonstrate that such a TV-based enhancement yields a higher quality gain in both objective (e.g. PSNR-based) and subjective (i.e. visual perception) evaluations than using the transform-domain overlapping technique.

关键词： multiple description coding multiple description scalar quantization staggered quantizers total variation

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DCT-Domain Translation for Composing Better Pictures in the MDSQ-based multiple description Video Coding

DCT-Domain Translation for Composing Better Pictures in the ...

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IEEE International Conference on Wireless Communications, Networking and Information Security (WCNIS)

作者： Zhu, Shuyuan Yeung, Siu-Kei Au Zeng, Bing Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781424458516

multiple description coding (MDC) is an effective technique for transmission of image and video signals over error-prone channels. Naturally, a good MDC system needs to guarantee a quality gain when more descriptions are received. To this goal, a transform-domain overlapping technique can be used in the popular multiple description scalar quantization (MDSQ) scheme. However, this overlapping technique often becomes inapplicable in multiple description video coding (MDVC) because different reference frames are used in different descriptions at the motion-compensation stage. In this paper, we introduce a DCT-domain translation to solve this problem, i.e., after the translation, the overlapping technique can be applied to all predictive frames. We demonstrate that frames with a better quality can be composed upon receiving more descriptions. In particular, a remarkable objective quality gain (in terms of PSNR) has been observed.

关键词： multiple description coding multiple description scalar quantization overlapping technique translation

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MULTI LEVEL multiple descriptionS

MULTI LEVEL MULTIPLE DESCRIPTIONS

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AIAA 47th Aerospace Sciences Meeting and Exhibit

作者： Beery, Tal A. Zamir, Ram Tel Aviv Univ Sch Elect Engn Tel Aviv Israel

ISBN: (纸本)9781424424818

multiple description (MD) source coding is a method to overcome unexpected information loss in a diversity system such as the internet, or a wireless network. While classic MD coding handles the situation where the rate in some channels drops to zero temporarily, thus causing unexpected packet-loss, it fails to accommodate more subtle changes in link rate such as rate reduction. In such case, a classic scheme can't use the link capacity left for information transfer, causing even minor rate reduction to be considered as link failure. In order to accommodate such a frequent situation, we propose a more modular design for transmitting over a diversity system, which can handle unexpected reduction in link's rate, by downgrading the original description into a more coarse description, so it would fit to the new link's rate. The method is analyzed theoretically, and performance results are presented.

关键词： Source Coding multiple description Coding Successive Refinement lossy packet network multiple description scalar quantization

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MULTI LEVEL multiple descriptionS

MULTI LEVEL MULTIPLE DESCRIPTIONS

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19th Data Compression Conference

作者： Beery, Tal A. Zamir, Ram Tel Aviv Univ Sch Elect Engn Tel Aviv Israel

ISBN: (纸本)9780769535920

multiple description (MD) source coding is a method to overcome unexpected information loss in a diversity system such as the internet, or a wireless network. While classic MD coding handles the situation where the rate in some channels drops to zero temporarily, thus causing unexpected packet-loss, it fails to accommodate more subtle changes in link rate such as rate reduction. In such a case, a classic scheme can not use the link capacity left for information transfer, causing even minor rate reduction to be considered as link failure. In order to accommodate such a frequent situation, we propose a more modular design for transmitting over a diversity system, which can handle unexpected reduction in link's rate, by downgrading the original description into a more coarse description, so it would fit to the new link's rate. The method is analyzed theoretically, and performance results are presented.

关键词： Source Coding multiple description Coding Successive Refinement lossy packet network multiple description scalar quantization

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DCT-Domain Translation for Composing Better Pictures in the MDSQ-based multiple description Video Coding

DCT-Domain Translation for Composing Better Pictures in the ...

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2010 IEEE International Conference Conferenhce on Wireless Communications,Networking and Information Security(2010 IEEE 无线通信、网络技术与信息安全国际会议 WCNIS)

作者： Shuyuan Zhu Siu-Kei Au Yeung Bing Zeng Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong China

ISBN: (纸本)9781424458509

关键词： multiple description coding multiple description scalar quantization overlapping technique translation

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