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

Research output: Book chapter/Published conference paperConference paper

1 Citation (Scopus)

Abstract

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.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1905-1909
Number of pages5
ISBN (Electronic)9781509021758
ISBN (Print)9781509021765
DOIs
Publication statusPublished - 22 Feb 2018
Event2017 24th IEEE International Conference on Image Processing: ICIP 2017 - China National Convention Center , Beijing, China
Duration: 17 Sep 201720 Jul 2018
http://2017.ieeeicip.org/ (Conference website)

Conference

Conference2017 24th IEEE International Conference on Image Processing
CountryChina
CityBeijing
Period17/09/1720/07/18
Internet address

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  • Cite this

    Gao, P., Xiang, W., Rahaman, D. M. M., & Paul, M. (2018). Joint texture and depth map coding for error-resilient 3-D video transmission. In 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings (pp. 1905-1909). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICIP.2017.8296613