JOURNAL ARTICLE

Complexity scalable video encoding for power-aware applications

Serdar SolakFabrice Labeau

Year: 2010 Journal:   International Conference on Green Computing Pages: 443-449

Abstract

Mobile multimedia application design has taken precedence in the field of wireless communications due to the growing demand for mobile devices to perform multimedia functions. To sustain such high complexity and power hungry functions on battery-powered devices, power-aware concepts should be employed in the design of mobile multimedia applications. An effective power-aware design should serve two functions. The first is to lower overall power consumption with minimum impact on performance and the second is to adjust its power consumption rate to extend the battery life of its platform. In this paper, we tackle one of the most up-and-coming multimedia functions, video compression, by introducing a novel complexity-scalable video encoding framework for power-aware applications. The proposed video encoder embodies both functions of power-aware design. The complexity-scalability is maintained efficiently through a single control-parameter; and significant complexity reduction rates are achieved through a novel prediction scheme. The performance of the proposed design is demonstrated and compared with some of the existing complexity reduction and complexity scalability techniques.

Keywords:
Computer science Scalability Encoder Encoding (memory) Wireless Reduction (mathematics) Mobile device Computational complexity theory Multimedia Data compression Energy consumption Real-time computing Embedded system Telecommunications Artificial intelligence Algorithm Engineering

Metrics

5
Cited By
1.58
FWCI (Field Weighted Citation Impact)
13
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Multimedia Communication and Technology
Social Sciences →  Social Sciences →  Sociology and Political Science
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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