Paper Info
Title
Perception-oriented video coding based on foveated JND model
Abstract
The ultimate goal of video compression is to provide best visual quality of the video source by using minimum bit budget. To achieve this target, spatial, temporal and perceptual redundancies should be exploited and removed such that the video source could be compressed efficiently. In this paper, we present how to improve the video compression performance by using a foveated just-noticeable-distortion model. Since the perceptual acuity decreases with the increased eccentricity, a foveation model is developed to exploit the global perceptual redundancy in addition to the spatial and temporal just-noticeable-distortion models. The foveated just-noticeable-distortion model is incorporated into the H.264/AVC video coding system. As demonstrated in the subjective tests, applying the proposed model in video coding can improve visual quality.
Year
DOI
Venue
2009
10.1109/PCS.2009.5167387
PCS
Keywords
Field
DocType
h.264/avc,perception-oriented video coding,just-noticeable distortion,global perceptual redundancy,video compression performance,avc video,foveated just-noticeable-distortion model,video compression,data compression,foveation model,perception-oriented video,video coding,temporal just-noticeable-distortion model,video source,foveated jnd model,visual quality,layout,entropy coding,frequency,visualization,pixel,visual system,sensitivity
Computer vision,Entropy encoding,Computer science,Motion compensation,Multiview Video Coding,Coding (social sciences),Redundancy (engineering),Video tracking,Artificial intelligence,Pixel,Data compression
Conference
ISBN
Citations 
PageRank 
978-1-4244-4594-3
5
0.55
References 
Authors
11
2
Name
Order
Citations
PageRank
Zhenzhong Chen11244101.41
Christine Guillemot21286104.25