期刊论文详细信息
Sensors
Energy Efficient Image/Video Data Transmission on Commercial Multi-Core Processors
Sungju Lee2  Heegon Kim2  Yongwha Chung1 
[1] Department of Computer Information Science, Korea University, Sejong KS002, Korea;
关键词: video sensor network;    energy efficiency;    multi-core processors;   
DOI  :  10.3390/s121114647
来源: mdpi
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【 摘 要 】

In transmitting image/video data over Video Sensor Networks (VSNs), energy consumption must be minimized while maintaining high image/video quality. Although image/video compression is well known for its efficiency and usefulness in VSNs, the excessive costs associated with encoding computation and complexity still hinder its adoption for practical use. However, it is anticipated that high-performance handheld multi-core devices will be used as VSN processing nodes in the near future. In this paper, we propose a way to improve the energy efficiency of image and video compression with multi-core processors while maintaining the image/video quality. We improve the compression efficiency at the algorithmic level or derive the optimal parameters for the combination of a machine and compression based on the tradeoff between the energy consumption and the image/video quality. Based on experimental results, we confirm that the proposed approach can improve the energy efficiency of the straightforward approach by a factor of 2∼5 without compromising image/video quality.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.

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