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

Muhammad Shafique; Bruno Zatt; Sergio Bampi; Jörg Henkel

doi:10.1109/PCS.2010.5702506

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

Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jörg Henkel

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	28th Picture Coding Symposium, PCS 2010
Pages	350-353
Number of pages	4
DOIs	https://doi.org/10.1109/PCS.2010.5702506
State	Published - 2010
Event	28th Picture Coding Symposium, PCS 2010 - Nagoya, Japan Duration: Dec 8 2010 → Dec 10 2010

Publication series

Name	28th Picture Coding Symposium, PCS 2010

Conference

Conference	28th Picture Coding Symposium, PCS 2010
Country/Territory	Japan
City	Nagoya
Period	12/8/10 → 12/10/10

ASJC Scopus subject areas

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

Access to Document

10.1109/PCS.2010.5702506

Cite this

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title = "Power-aware complexity-scalable multiview video coding for mobile devices",

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.",

author = "Muhammad Shafique and Bruno Zatt and Sergio Bampi and J{\"o}rg Henkel",

year = "2010",

doi = "10.1109/PCS.2010.5702506",

language = "English (US)",

isbn = "9781424471348",

series = "28th Picture Coding Symposium, PCS 2010",

pages = "350--353",

booktitle = "28th Picture Coding Symposium, PCS 2010",

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TY - GEN

T1 - Power-aware complexity-scalable multiview video coding for mobile devices

AU - Shafique, Muhammad

AU - Zatt, Bruno

AU - Bampi, Sergio

AU - Henkel, Jörg

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

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U2 - 10.1109/PCS.2010.5702506

DO - 10.1109/PCS.2010.5702506

M3 - Conference contribution

AN - SCOPUS:79951778689

SN - 9781424471348

T3 - 28th Picture Coding Symposium, PCS 2010

SP - 350

EP - 353

BT - 28th Picture Coding Symposium, PCS 2010

T2 - 28th Picture Coding Symposium, PCS 2010

Y2 - 8 December 2010 through 10 December 2010

ER -

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

Abstract

Publication series

Conference

ASJC Scopus subject areas

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