Perceptually-friendly H.264/AVC video coding

Author

Chen, Zhenzhong ; Guillemot, Christine

Author_Institution

Nanyang Technol. Univ., Singapore, Singapore

fYear

2009

fDate

7-10 Nov. 2009

Firstpage

3417

Lastpage

3420

Abstract

This paper presents a perceptual H.264/AVC video coding method based on a foveated just-noticeable-distortion (JND) model. Since the perceptual acuity decreases with the increased eccentricity, a foveation model is adopted to further explore the perceptual redundancy in addition to the spatial and temporal just-noticeable-distortion models. Bit allocation and rate-distortion optimization algorithms based on the foveated model are addressed. The performance of the foveated JND model is assessed with subjective visual tests. Applying the proposed model in H.264/AVC video coding can achieve better visual quality.

Keywords

optimisation; video coding; H.264-AVC video coding; bit allocation optimization algorithms; foveated just-noticeable-distortion model; rate-distortion optimization algorithms; Automatic voltage control; Bit rate; Compression algorithms; Distortion; Humans; Rate-distortion; Retina; Testing; Video coding; Visual system; H.264/AVC; Just-noticeable distortion; bit allocation; foveation model; rate-distortion optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2009 16th IEEE International Conference on

Conference_Location

Cairo

ISSN

1522-4880

Print_ISBN

978-1-4244-5653-6

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2009.5413867

Filename

5413867