Complexity modeling of scalable video decoding

Zhan Ma, Yao Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages1125-1128
Number of pages4
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: Mar 31 2008Apr 4 2008

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
CountryUnited States
CityLas Vegas, NV
Period3/31/084/4/08

Keywords

  • Complexity modeling
  • Computational complexity
  • Scalable video decoding

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Ma, Z., & Wang, Y. (2008). Complexity modeling of scalable video decoding. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 1125-1128). [4517812] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2008.4517812