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Rate-Distortion Optimal joint texture and depth map coding for 3-D Video Streaming

IEEE TRANSACTIONS ON MULTIMEDIA 2020年第3期22卷 610-625页

作者： Gao, Pan Paul, Manoranjan Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China Nanjing Univ Aeronaut & Astronaut MIIT Key Lab Pattern Anal & Machine Intelligence Nanjing 211106 Peoples R China Charles Sturt Univ Sch Comp & Math Bathurst NSW 2795 Australia

For high compression efficiency, 3-D video coding usually employs a multimode methodology to exploit the dependencies between multiple views as well as between texture and depth. However, different coding modes will posses differentiating error propagation behaviour when the compressed 3-D video bit stream is transmitted over packet-switched networks, and thus lead to different amount of visual distortions. Further, the texture and depth distortions are combined in a highly complex fashion to produce the overall view synthesis distortion. To minimize the expected view synthesis distortion, this paper proposes an efficient rate-distortion optimized algorithm for joint selection of texture and depth modes. Firstly, a statistical model is developed to estimate the overall view synthesis distortion, in which the channel distortions caused by error propagation under different coding modes are analyzed. Then, joint optimization of texture and depth modes is derived within an operational rate-distortion framework using the Lagrange multiplier method. The adjacent block dependency caused by warping operation is explicitly considered in optimization, for which we develop a dynamic programming method to find the optimal solution. Finally, we extend the Lagrange minimization method to the more general variable-block-size prediction case, where the optimal quadtree tree structure and the combined coding modes are jointly determined using a multi-level dual trellis. Experimental results are presented for a wide range of packet loss rates to illustrate the effectiveness of the proposed algorithm.

关键词： Error resilience joint texture and depth map coding rate-distortion optimization variable-block-size prediction 3-D video transmission

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texture-Distortion-Constrained joint Source-Channel coding of Multi-View Video Plus depth-Based 3D Video

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2019年第11期29卷 3326-3340页

作者： Gao, Pan Xiang, Wei Liang, Dong Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Jiangsu Peoples R China Trinity Coll Dublin Sch Comp Sci & Stat Dublin D02 PN40 2 Ireland James Cook Univ Coll Sci & Engn Cairns Qld 4870 Australia

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.

关键词： joint source and channel coding joint texture and depth map coding texture distortion constraint 3D video transmission

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