A multi-level dynamic complexity reduction scheme for multiview video coding

Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel

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

Abstract

In this paper, we propose a novel scheme for dynamically reducing the computational complexity of MVC. Our scheme exploits the coding mode correlation available in the 3D-neighborhood (i.e., spatial, temporal, and view) along with the rate-distortion properties of the neighboring Macroblocks. Our scheme incorporates a multi-level mode decision process based on a mode-ranking mechanism that categorizes more-probable and less-probable coding modes. In order to react to the changing bitrates, our scheme deploys Quantization Parameter based threshold equations which are formulated using an offline statistical analysis. Compared to the exhaustive Rate-Distortion-Optimized Mode Decision (RDO-MD), our scheme achieves a complexity reduction of up to 80% (68% on average) with an average PSNR loss of 0.075 dB. Compared to state-of-the-art fast RDO-MD, our scheme achieves a complexity reduction of up to 34% with an average PSNR gain of 0.007 dB.

Original languageEnglish (US)
Title of host publicationICIP 2011
Subtitle of host publication2011 18th IEEE International Conference on Image Processing
Pages749-752
Number of pages4
DOIs
StatePublished - 2011
Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
Duration: Sep 11 2011Sep 14 2011

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2011 18th IEEE International Conference on Image Processing, ICIP 2011
CountryBelgium
CityBrussels
Period9/11/119/14/11

Keywords

  • Complexity Reduction
  • Fast Mode Decision
  • Multiview Video coding
  • MVC
  • Video Coding

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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