Title :
Enhancing coded video quality with perceptual foveation driven bit allocation strategy
Author :
Junyong You ; Xue-Cheng Tai
Author_Institution :
Christian Michelsen Res. AS, Bergen, Norway
Abstract :
Contrast sensitivity plays an important role in visual perception when viewing external stimuli, e.g., video, and it has been taken into account in development of advanced video coding algorithms. This paper proposes a perceptual foveation model based on accurate prediction of video fixations and modeling of contrast sensitivity function (CSF). Consequently, an adaptive bit allocation strategy in H.264/AVC video compression is proposed by considering visible frequency threshold of the human visual system (HVS). A subjective video quality assessment together with objective quality metrics have been performed and demonstrated that the proposed perceptual foveation driven bit allocation strategy can significantly improve the perceived quality of coded video compared with standard coding scheme and another visual attention guided coding approach.
Keywords :
data compression; video coding; visual perception; H.264/AVC video compression; adaptive bit allocation strategy; contrast sensitivity function; human visual system; objective quality metrics; perceptual foveation model; video coding algorithm; video fixation prediction; video quality assessment; visible frequency threshold; visual attention guided coding approach; visual perception; Abstracts; Indexes; PSNR; Standards; adaptive bit allocation; contrast sensitivity; perceptual foveation; video coding; visual attention;
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2013
Conference_Location :
Kuching
Print_ISBN :
978-1-4799-0288-0
DOI :
10.1109/VCIP.2013.6706373