DocumentCode :
2375855
Title :
Power-aware/real-time H.264 video decoding with control theoretic approach
Author :
Moayyed, Miead Tehrani ; Moghadam, Amir Masoud Eftekhari
Author_Institution :
Dept. of Electron., Comput. & Biomed. Eng., Islamic Azad Univ., Qazvin, Iran
fYear :
2013
fDate :
27-29 Aug. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Due to an increasing trend of mobile multimedia services, consideration of power is crucial since portable devices have limited battery power. In this paper we have proposed a power adaptive decoding scheme which use of scalable video codec as a complexity scalable decoder. The proposed decoding scheme has a novel ability to either decode all layers or a few layers depending on the available computation ability of hardware platform according to power management mode. The experimental results demonstrate that the proposed scheme is able to decode video in power-aware manner.
Keywords :
computational complexity; decoding; mobile computing; multimedia systems; power aware computing; video codecs; video coding; complexity scalable decoder; computation ability; control theoretic approach; hardware platform; limited battery power; mobile multimedia services; portable devices; power adaptive decoding; power management mode; power-aware H.264 video decoding; real-time H.264 video decoding; scalable video codec; CSD (Complexity Scalable Decoding); Power-Aware; Realtime Video Decoding; SVC (Scalable Video Codec);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (IFSC), 2013 13th Iranian Conference on
Conference_Location :
Qazvin
Print_ISBN :
978-1-4799-1227-8
Type :
conf
DOI :
10.1109/IFSC.2013.6675689
Filename :
6675689
Link To Document :
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