Texture-distortion-constrained joint source-channel coding of multi-view video plus depth-based 3D video

Gao, Pan, Xiang, Wei, and Liang, Dong (2019) Texture-distortion-constrained joint source-channel coding of multi-view video plus depth-based 3D video. IEEE Transactions on Circuits and Systems for Video Technology, 29 (11). pp. 3326-3340.

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Abstract

A novel joint source and channel coding scheme tailored to 3D video is proposed in this paper to minimize the end-to-end view synthesis distortion within a given total bit rate for both texture and depth as well as a maximum tolerable distortion constraint for texture. First, we formulate a joint texture and depth coding mode selection strategy for error-resilient source coding of multi-view video plus depth-based 3D video through using the Lagrange multiplier method. Then, by considering the effect of residual errors after channel coding, we evolve to a more general formulation that jointly optimizes error-resilient source coding and channel coding in an integrated manner for unequal error protection between texture and depth, for which a theoretic solution using a proposed dual-trellis is derived. Finally, we extend the general formulation by including the texture distortion constraint. We show how to optimize the view synthesis quality while simultaneously catering to the texture quality constraint. Experimental results demonstrate the proposed algorithm has much better performance than existing related work.

Item ID: 61083
Item Type: Article (Research - C1)
ISSN: 1558-2205
Keywords: Joint source and channel coding, joint texture and depth map coding, texture distortion constraint, 3D video transmission
Copyright Information: © 2018 IEEE.
Date Deposited: 27 Nov 2019 07:43
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified @ 100%
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