ESVD: An Integrated Energy Scalable Framework for Low-Power Video Decoding Systems
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Research Article ESVD: An Integrated Energy Scalable Framework for Low-Power Video Decoding Systems Wen Ji,1 Min Chen,2 Xiaohu Ge,3 Peng Li,1 and Yiqiang Chen1 1 Institute
of Computing Technology, CAS, Beijing 100190, China of Electrical and Computer Engineering, University of British Columbia, vancouver, BC, Canada V6T 1Z4 3 Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 234131, China 2 Department
Correspondence should be addressed to Xiaohu Ge, [email protected] Received 1 April 2010; Accepted 6 June 2010 Academic Editor: Liang Zhou Copyright © 2010 Wen Ji et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Video applications using mobile wireless devices are a challenging task due to the limited capacity of batteries. The higher complex functionality of video decoding needs high resource requirements. Thus, power efficient control has become more critical design with devices integrating complex video processing techniques. Previous works on power efficient control in video decoding systems often aim at the low complexity design and not explicitly consider the scalable impact of subfunctions in decoding process, and seldom consider the relationship with the features of compressed video date. This paper is dedicated to developing an energyscalable video decoding (ESVD) strategy for energy-limited mobile terminals. First, ESVE can dynamically adapt the variable energy resources due to the device aware technique. Second, ESVD combines the decoder control with decoded data, through classifying the data into different partition profiles according to its characteristics. Third, it introduces utility theoretical analysis during the resource allocation process, so as to maximize the resource utilization. Finally, it adapts the energy resource as different energy budget and generates the scalable video decoding output under energy-limited systems. Experimental results demonstrate the efficiency of the proposed approach.
1. Introduction With the growing popularity of portable video applications, such as portable video smart phones, mobile video terminals such as PDA, and vehicle DVD devices energy consumption of video decoders becomes an important design requirement. Lots of compression codecs are issued for the several major video code standards, including MPEG4/2, H.264/3, and AVS. Generally, decoders focus on the performance while rarely support dynamic decoding process to meet the variable energy resources. However, most portable video application devices operate on batteries with limited-energy supply. The capacity of battery in portable devices is limited, as well as the usable capacity of the battery declines with using time. Thus, power should be used economically to provide longer service time. Then, how to make the video decoder adapt resource in handheld devices? How to maximum v
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