Please use this identifier to cite or link to this item: https://doi.org/10.1145/1101149.1101209
Title: Using offline bitstream analysis for power-aware video decoding in portable devices
Authors: Huang, Y.
Chakraborty, S. 
Wang, Y. 
Keywords: Bitstream analysis
DVS
Metadata
Video decoding
Issue Date: 2005
Citation: Huang, Y.,Chakraborty, S.,Wang, Y. (2005). Using offline bitstream analysis for power-aware video decoding in portable devices. Proceedings of the 13th ACM International Conference on Multimedia, MM 2005 : 299-302. ScholarBank@NUS Repository. https://doi.org/10.1145/1101149.1101209
Abstract: Dynamic voltage/frequency scheduling algorithms for multimedia applications have recently been a subject of intensive research. Many of these algorithms use control-theoretic feedback techniques to predict the future execution demand of an application based on the demand in the recent past. Such techniques suffer from two major disadvantages: (i) they are computationally expensive, and (ii) it is difficult to give performance or quality-of-service guarantees based on these techniques (since the predictions can occasionally turn out to be incorrect). To address these shortcomings, in this paper we propose a completely new approach for dynamic voltage and frequency scaling. Our technique is based on an offline bitstream analysis of multimedia files. Based on this analysis, we insert metadata information describing the computational demand that will be generated when decoding the file. Such bitstream analysis and metadata insertion can be done when the multimedia file is being downloaded into a portable device from a desktop computer. In this paper we illustrate this technique using the MPEG-2 decoder application. We show that the amount of metadata that needs to be inserted is a very small fraction of the total size of the video clip and it can lead to significant energy savings. The metadata inserted will typically consist of the frequency value at which the processor needs to be run at different points in time during the decoding process. Lastly, in contrast to runtime prediction-based techniques, our scheme can be used to provide performance and quality-of-service guarantees and at the same time avoids any runtime computation overhead. Copyright © 2005 ACM.
Source Title: Proceedings of the 13th ACM International Conference on Multimedia, MM 2005
URI: http://scholarbank.nus.edu.sg/handle/10635/78418
ISBN: 1595930442
DOI: 10.1145/1101149.1101209
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