Joint texture and depth map coding for error-resilient 3-D video transmission

Gao, Pan, Xiang, Wei, Rahaman, D.M. Motiur, and Paul, Manoranjan (2017) Joint texture and depth map coding for error-resilient 3-D video transmission. In: Proceedings of the IEEE International Conference on Image Processing. pp. 1905-1909. From: ICIP 2017: IEEE International Conference on Image Processing, 17-20 September 2017, Beijing, China.

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This paper addresses the problem of error-resilient source coding for 3-D video transmitted over packet-loss networks. The approach jointly optimizes the texture coding mode and the depth coding mode for each macroblock in the reference views. Firstly, a distortion model is developed to capture the effect of the texture distortion and depth distortion on the synthesized view. Then, joint optimization of texture and depth coding modes is derived within an operational rate-distortion framework using Lagrange multiplier method. In particular, a dual trellis-based algorithm is introduced in order to overcome the macroblock interdependencies of texture and depth map in the optimization procedure. Simulation results demonstrate that consistent gains can be achieved over currently used techniques.

Item ID: 52429
Item Type: Conference Item (Research - E1)
ISBN: 978-1-5090-2175-8
Keywords: texture coding mode, depth coding mode, error-resilient coding, 3-D video transmission
Date Deposited: 01 Mar 2018 03:18
Downloads: Total: 3
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