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Robust multiple description distributed video coding using optimized zero-padding

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Abstract

Distributed video coding (DVC) arouses high interests due to its property of low-complexity encoding. This paper proposes a robust multiple description DVC (MDDVC) under the constraint of low-complexity encoding. In MDDVC, zeros are padded to each frame and the resulting big-size video is divided into multiple descriptions. Then, each description is compressed by a hybrid DVC (HDVC) codec and transmitted over different channel. When one channel does not work, the lost HDVC description is estimated by the received from other channel, which guarantees the robustness of the system; MDDVC moves the complex motion estimation totally to the decoder so it features low-complexity encoding. In the pre-processing, an optimized zero-padding is also proposed to improve the performance. Experimental results exhibit that the proposed MDDVC scheme achieves better rate-distortion performance and robustness than the referenced especially when packet-loss rate is high.

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Authors and Affiliations

  1. Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China

    AnHong Wang, Yao Zhao & HuiHui Bai

  2. Taiyuan University of Science and Technology, Taiyuan, 030024, China

    AnHong Wang

Authors
  1. AnHong Wang
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  2. Yao Zhao
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  3. HuiHui Bai
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Correspondence to AnHong Wang.

Additional information

Supported in part by the National Natural Science Foundation of China (Grant Nos. 60776794 and 90604032), the National Basic Research Program of China (973 program) (Grant No. 2006CB303104), the National High-tech Research & Development Program of China (863 program) (Grant No. 2007AA01Z175), Program for Changjiang Scholars and Innovative Research Team in University (Grant No. IRT0707), and Specialized Research Foundation of BJTU, Youth Science Technology Research Foundation of Shanxi Province (Grant No. 2008021020)

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Wang, A., Zhao, Y. & Bai, H. Robust multiple description distributed video coding using optimized zero-padding. Sci. China Ser. F-Inf. Sci. 52, 206–214 (2009). https://doi.org/10.1007/s11432-009-0037-5

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  • DOI: https://doi.org/10.1007/s11432-009-0037-5

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