C
C.-C. Jay Kuo
Researcher at University of Southern California
Publications - 1070
Citations - 20283
C.-C. Jay Kuo is an academic researcher from University of Southern California. The author has contributed to research in topics: Computer science & Wavelet. The author has an hindex of 59, co-authored 955 publications receiving 16671 citations. Previous affiliations of C.-C. Jay Kuo include Ningbo University & Beihang University.
Papers
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Journal ArticleDOI
Image database TID2013
Nikolay Ponomarenko,Lina Jin,Oleg Ieremeiev,Vladimir V. Lukin,Karen Egiazarian,Jaakko Astola,Benoit Vozel,Kacem Chehdi,Marco Carli,Federica Battisti,C.-C. Jay Kuo +10 more
TL;DR: This paper describes a recently created image database, TID2013, intended for evaluation of full-reference visual quality assessment metrics, and methodology for determining drawbacks of existing visual quality metrics is described.
Journal ArticleDOI
Perceptual visual quality metrics: A survey
Weisi Lin,C.-C. Jay Kuo +1 more
TL;DR: A systematic, comprehensive and up-to-date review of perceptual visual quality metrics (PVQMs) to predict picture quality according to human perception.
Journal ArticleDOI
Audio content analysis for online audiovisual data segmentation and classification
T. Zhang,C.-C. Jay Kuo +1 more
TL;DR: A heuristic rule-based procedure is proposed to segment and classify audio signals and built upon morphological and statistical analysis of the time-varying functions of these audio features.
Proceedings Article
Color image database TID2013: Peculiarities and preliminary results
Nikolay N. Ponomarenko,Oleg Ieremeiev,Vladimir V. Lukin,Karen Egiazarian,Lina Jin,Jaakko Astola,Benoit Vozel,Kacem Chehdi,Marco Carli,Federica Battisti,C.-C. Jay Kuo +10 more
TL;DR: A new database of color images with various sets of distortions called TID2013 is presented that contains a larger number of images and seven new types and one more level of distortions are included.
Journal ArticleDOI
A new initialization technique for generalized Lloyd iteration
TL;DR: An efficient method is proposed to obtain a good initial codebook that can accelerate the convergence of the generalized Lloyd algorithm and achieve a better local minimum as well.