Adaptive rate-distortion optimization using perceptual hints

Chun Jen Tsai, Chih Wei Tang, Ching Ho Chen, Ya Hui Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Scopus citations


A novel video coding approach that performs adaptive rate-distortion optimization guided by perceptual hints is proposed in this paper. The key idea is to adoptively adjust the Lagrange multipliers of the RDO coder control module based on visual attention analysis. The observation is that human vision is sensitive to movement of well structured objects while tolerates large distortion in moving areas with random structure (texture-wise and motion-wise). The proposed algorithm analyzes permissible perceptual distortions and, accordingly, assigns larger Lagrange multipliers to regions that are perceptually less sensitive to distortion so that rate-reduction is weighted more than distortion reduction in these regions. Experiments show that this scheme achieves bit-rate saving of 5-7% with virtually same perceptual quality and is very promising for practical systems.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Multimedia and Expo (ICME)
Number of pages4
StatePublished - 2004
Event2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, Taiwan
Duration: 27 Jun 200430 Jun 2004

Publication series

Name2004 IEEE International Conference on Multimedia and Expo (ICME)


Conference2004 IEEE International Conference on Multimedia and Expo (ICME)


Dive into the research topics of 'Adaptive rate-distortion optimization using perceptual hints'. Together they form a unique fingerprint.

Cite this