高攀

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副教授 硕士生导师

招生学科专业:
计算机科学与技术 -- 【招收硕士研究生】 -- 计算机科学与技术学院
网络空间安全 -- 【招收硕士研究生】 -- 计算机科学与技术学院
电子信息 -- 【招收硕士研究生】 -- 计算机科学与技术学院

性别:男

学历:澳大利亚南昆士兰大学

学位:工学博士学位

所在单位:计算机科学与技术学院/人工智能学院/软件学院

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Texture-Distortion-Constrained Joint Source-Channel Coding of Multi-View Video plus Depth-Based 3D Video

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所属单位:计算机科学与技术学院/人工智能学院/软件学院

发表刊物:IEEE Trans Circuits Syst Video Technol

摘要: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. © 1991-2012 IEEE.

ISSN号:1051-8215

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发表时间:2019-11-01

合写作者:Xiang, Wei,梁栋 LIANG Dong

通讯作者:高攀