Model-based complexity-aware coding for multiview video plus depth

Viet Anh Nguyen, Minh N. Do

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an efficient complexity-aware coding method for the popular 3-D video format, multiview video plus depth (MVD). Specifically, we propose a complexity-rate-distortion (C-R-D) model for the synthesized view. The proposed C-R-D model is then utilized to efficiently allocate the scarce computational resource for the texture and depth encoders to achieve the optimal quality of the synthesized view. Experimental results show the effectiveness of the proposed model and complexity allocation solution. Compared with the straightforward complexity allocation method with a fixed 1:1 ratio, the proposed method provided 0.2-0.9 dB gain in the peak-signal-to-noise ratio (PSNR) of the synthesized view quality.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Pages2192-2196
Number of pages5
DOIs
StatePublished - Dec 1 2013
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: Sep 15 2013Sep 18 2013

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Other

Other2013 20th IEEE International Conference on Image Processing, ICIP 2013
CountryAustralia
CityMelbourne, VIC
Period9/15/139/18/13

Keywords

  • 3D video
  • complexity-aware
  • distortion model
  • resource allocation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Nguyen, V. A., & Do, M. N. (2013). Model-based complexity-aware coding for multiview video plus depth. In 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (pp. 2192-2196). [6738452] (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings). https://doi.org/10.1109/ICIP.2013.6738452