Share Email Print
cover

Proceedings Paper

Audiovisual focus of attention and its application to Ultra High Definition video compression
Author(s): Martin Rerabek; Hiromi Nemoto; Jong-Seok Lee; Touradj Ebrahimi
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Using Focus of Attention (FoA) as a perceptual process in image and video compression belongs to well-known approaches to increase coding efficiency. It has been shown that foveated coding, when compression quality varies across the image according to region of interest, is more efficient than the alternative coding, when all region are compressed in a similar way. However, widespread use of such foveated compression has been prevented due to two main conflicting causes, namely, the complexity and the efficiency of algorithms for FoA detection. One way around these is to use as much information as possible from the scene. Since most video sequences have an associated audio, and moreover, in many cases there is a correlation between the audio and the visual content, audiovisual FoA can improve efficiency of the detection algorithm while remaining of low complexity. This paper discusses a simple yet efficient audiovisual FoA algorithm based on correlation of dynamics between audio and video signal components. Results of audiovisual FoA detection algorithm are subsequently taken into account for foveated coding and compression. This approach is implemented into H.265/HEVC encoder producing a bitstream which is fully compliant to any H.265/HEVC decoder. The influence of audiovisual FoA in the perceived quality of high and ultra-high definition audiovisual sequences is explored and the amount of gain in compression efficiency is analyzed.

Paper Details

Date Published: 25 February 2014
PDF: 12 pages
Proc. SPIE 9014, Human Vision and Electronic Imaging XIX, 901407 (25 February 2014); doi: 10.1117/12.2047850
Show Author Affiliations
Martin Rerabek, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Hiromi Nemoto, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Jong-Seok Lee, Yonsei Univ. (Korea, Republic of)
Touradj Ebrahimi, Ecole Polytechnique Fédérale de Lausanne (Switzerland)


Published in SPIE Proceedings Vol. 9014:
Human Vision and Electronic Imaging XIX
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Huib de Ridder, Editor(s)

© SPIE. Terms of Use
Back to Top