Title :
Complexity modeling of scalable video decoding
Author :
Ma, Zhan ; Wang, Yao
Author_Institution :
Dept. of ECE, Polytech. Univ., Brooklyn, OH
fDate :
March 31 2008-April 4 2008
Abstract :
This paper addresses the computational complexity of scalable video decoding using emerging scalable extension of H- 264/AVC (SVC) standard compliant decoder. Scalable functionalities provided by SVC standard encompass temporal, spatial, quality enhancements and their combinations. The complexity model for decoding a bit stream with only temporal, spatial, or quality scalability are developed first. We then extend to a more general model for decoding a bit stream with arbitrarily combined scalability. Comparison with the number of clock cycles used in SVC decoding on a PC shows that the proposed model is very accurate.
Keywords :
computational complexity; decoding; image enhancement; video coding; H.264-AVC SVC standard compliant decoder; bit stream; complexity modeling; computational complexity; quality enhancements; scalable video decoding; Automatic voltage control; Computational complexity; Computational modeling; Decoding; Energy consumption; Frequency estimation; High definition video; Scalability; Static VAr compensators; Streaming media; Computational complexity; complexity modeling; scalable video decoding;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4517812