Paper Info
Title
Perceptually-friendly H.264/AVC video coding
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.
Year
DOI
Venue
2009
10.1109/ICIP.2009.5413867
ICIP
Keywords
Field
DocType
h.264/avc,foveated just-noticeable-distortion,perceptual h.264,optimisation,just-noticeable distortion,avc video,perceptual redundancy,perceptual acuity decrease,foveated just-noticeable-distortion model,rate-distortion optimization algorithms,bit allocation,foveation model,foveated model,h.264-avc video coding,rate-distortion optimization,video coding,temporal just-noticeable-distortion model,avc video coding,bit allocation optimization algorithms,foveated jnd model,perceptually-friendly h.264,encoding,visualization,rate distortion optimization,pixel,psnr
Computer vision,Visualization,Computer science,Coding (social sciences),Redundancy (engineering),Bit allocation,Pixel,Artificial intelligence,Perception,Rate–distortion optimization,Encoding (memory)
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-5655-0
978-1-4244-5655-0
8
PageRank 
References 
Authors
0.67
13
2
Name
Order
Citations
PageRank
Zhenzhong Chen11244101.41
Christine Guillemot21286104.25