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

This paper addresses the problem of error-resilient source coding for 3-D video transmission over packet-loss networks. The proposed 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 ca...

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Bibliographic Details
Published in:2017 IEEE International Conference on Image Processing (ICIP) pp. 1905 - 1909
Main Authors: Gao, Pan, Xiang, Wei, Rahaman, D. M. Motiur, Paul, Manoranjan
Format: Conference Proceeding
Language:English
Published: IEEE 01.09.2017
Subjects:
3-D video transmission
depth coding mode
Distortion
Encoding
error-resilient coding
Optimization
Packet loss
Rate-distortion
Texture coding mode
Video coding
ISSN:2381-8549
Online Access:Get full text
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Summary:This paper addresses the problem of error-resilient source coding for 3-D video transmission over packet-loss networks. The proposed 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 based upon 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 significant and consistent gains can be achieved over currently used techniques.
ISSN:2381-8549
DOI:10.1109/ICIP.2017.8296613