Ofer Hadar

Senior Academic

Weighted-MSE based on Saliency map for assessing video quality of H.264 video streams

H. Boujut, J. Benois-Pineau, O. Hadar, T. Ahmed, P. Bonnet

Human vision system is very complex and has been studied for many years specifically for purposes of efficient encoding of visual, e.g. video content from digital TV. There have been physiological and psychological evidences which indicate that viewers do not pay equal attention to all exposed visual information, but only focus on certain areas known as focus of attention (FOA) or saliency regions. In this work, we propose a novel based objective quality assessment metric, for assessing the perceptual quality of decoded video sequences affected by transmission errors and packed loses. The proposed method weights the Mean Square Error (MSE), Weighted-MSE (WMSE), according to the calculated saliency map at each pixel. Our method was validated trough subjective quality experiments.

Publication language English
Publication status Published - 25.02.2011
78670X

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering
Access to Document
10.1117/12.876471
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Link to publication in Scopus