Power-aware complexity-scalable multiview video coding for mobile devices

Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jörg Henkel

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

Abstract

We propose a novel power-aware scheme for complexity-scalable multiview video coding on mobile devices. Our scheme exploits the asymmetric view quality which is based on the binocular suppression theory. Our scheme employs different quality-complexity classes (QCCs) and adapts at run time depending upon the current battery state. It thereby enables a run-time tradeoff between complexity and video quality. The experimental results show that our scheme is superior to state-of-the-art and it provides an up to 87% complexity reduction while keeping the PSNR close to the exhaustive mode decision. We have demonstrated the power-aware adaptivity between different QCCs using a laptop with battery charging and discharging scenarios.

Original languageEnglish (US)
Title of host publication28th Picture Coding Symposium, PCS 2010
Pages350-353
Number of pages4
DOIs
StatePublished - 2010
Event28th Picture Coding Symposium, PCS 2010 - Nagoya, Japan
Duration: Dec 8 2010Dec 10 2010

Publication series

Name28th Picture Coding Symposium, PCS 2010

Conference

Conference28th Picture Coding Symposium, PCS 2010
CountryJapan
CityNagoya
Period12/8/1012/10/10

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Power-aware complexity-scalable multiview video coding for mobile devices'. Together they form a unique fingerprint.

Cite this