A low complexity mode decision approach for HEVC-based 3D video coding using a Bayesian method

Author

Tohidypour, Hamid Reza ; Pourazad, Mahsa T. ; Nasiopoulos, Panos

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada

fYear

2014

fDate

4-9 May 2014

Firstpage

895

Lastpage

899

Abstract

The 3D extension of High Efficiency Video Coding (HEVC) standard (3D-HEVC) aims at improving coding efficiency by introducing new and unique approaches for utilizing correlations between the different views of a scene. Reported coding efficiency, however, comes at the expense of increased computational complexity. For real-time applications, reducing the computational complexity of 3D-HEVC is very important. In this paper, we propose an adaptive fast mode assigning method based on a Bayesian classifier that reduces 3D-HEVC´s coding complexity by up to 51.95%, while maintaining the overall quality and bitrate.

Keywords

Bayes methods; computational complexity; data compression; image classification; video coding; 3D-HEVC coding complexity; Bayesian classifier; Bayesian method; HEVC-based 3D video coding; adaptive fast mode assigning method; computational complexity; high efficiency video coding; low complexity mode decision approach; Bit rate; Complexity theory; Encoding; Standards; Three-dimensional displays; Training; Video coding; 3D HEVC; Bayesian classifier; low complexity compression; video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on

Conference_Location

Florence

Type

conf

DOI

10.1109/ICASSP.2014.6853726

Filename

6853726