Fast mode assignment for quality scalable extension of the high efficiency video coding (HEVC) standard: a Bayesian approach

Authors:
H. R. Tohidypour;H. Bashashati;M. T. Pourazad;P. Nasiopoulos
Affiliations:
Univ. of British Columbia, Vancouver, Canada;Univ. of British Columbia, Vancouver, Canada;Univ. of British Columbia, Vancouver, Canada;Univ. of British Columbia, Vancouver, Canada
Venue:
Proceedings of the 6th Balkan Conference in Informatics
Year:
2013

Citing 3
Cited 0

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Abstract

The new compression standard, known as the High Efficiency Video Coding (HEVC), aims at significantly improving the compression efficiency compared to previous standards. There has been significant interest in developing a scalable version of this standard. As expected, the HEVC scalable video version, which is called SHVC, increases the complexity of the codec compared to the non-scalable counterpart. In this paper, we propose an adaptive fast mode assigning method based on a Bayesian classifier that reduces SHVC's coding complexity by up to 68.55%, while maintaining the overall quality and bit-rates.