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Multiple Description Coding for Multi-view Video

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9386))

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Abstract

In this paper, a novel multiple description coding (MDC) scheme for multi-view video coding (MVC) is proposed that can deliver higher coding efficiency. This is achieved by separating one description into two subsequences and directly using the modes and prediction vectors computed during the encoding of one subsequence to the encoding process of the other subsequence from the same description. Such reuse strategy is made possible due to high correlation existing between the two subsequences that were generated from the input multi-view video sequence through the spatial polyphase subsampling and ‘cross-interleaved’ sample grouping. Due to the data reuse, the required representation bits for storage and transmission are greatly saved. Extensive simulation results experimented on the JMVC codec platform have shown that the performance of the proposed MDC scheme outperforms several state-of-the-art MDC methods for stereoscopic video and multi-view video.

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Correspondence to Canhui Cai .

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Chen, J., Cai, C., Wang, X., Zeng, H., Ma, KK. (2015). Multiple Description Coding for Multi-view Video. In: Battiato, S., Blanc-Talon, J., Gallo, G., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2015. Lecture Notes in Computer Science(), vol 9386. Springer, Cham. https://doi.org/10.1007/978-3-319-25903-1_75

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  • DOI: https://doi.org/10.1007/978-3-319-25903-1_75

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25902-4

  • Online ISBN: 978-3-319-25903-1

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