Title
Toward Domain Transfer for No-Reference Quality Prediction of Asymmetrically Distorted Stereoscopic Images.
Abstract
We have presented a no-reference quality prediction method for asymmetrically distorted stereoscopic images, which aims to transfer the information from source feature domain to its target quality domain using a label consistent K-singular value decomposition classification framework. To this end, we construct a category-deviation database for dictionary learning that assigns a label for each ster...
Year
DOI
Venue
2018
10.1109/TCSVT.2016.2628082
IEEE Transactions on Circuits and Systems for Video Technology
Keywords
Field
DocType
Stereo image processing,Dictionaries,Databases,Training,Visualization,Distortion,Three-dimensional displays
Semantic framework,Computer vision,Quality Score,Dictionary learning,Pattern recognition,Stereoscopy,Computer science,Visualization,Pooling,Artificial intelligence,Distortion
Journal
Volume
Issue
ISSN
28
3
1051-8215
Citations 
PageRank 
References 
3
0.36
17
Authors
5
Name
Order
Citations
PageRank
Feng Shao160372.75
Zhuqing Zhang230.36
Qiuping Jiang314822.19
Weisi Lin45366280.14
Gangyi Jiang56111.75