Paper Info
Title
A fuzzy logic method of feature representation for shot boundary detection
Abstract
Unlike most approaches reported in the literature, our proposed algorithm is characterized by using the fuzzy logic method for feature representation of shot detection. Firstly, novel features are extracted in the compressed domain. Secondly, a fuzzy logic method is used to implement feature representation. Thirdly, multiple Support Vector Machines (SVMs) are constructed for further verification using features generated from the fuzzification process in step two. Our algorithm combines the merits of the generalization ability of the SVM and the comprehensibility of the fuzzy logic. We have carried out extensive experiments using the data from TRECVID07. Our proposed algorithm achieved very good detection results compared with TRECVID07 algorithms and its run-speed is 4 times faster than real-time video play.
Year
DOI
Venue
2009
10.1109/ICIP.2009.5413644
ICIP
Keywords
Field
DocType
fuzzy logic method,shot boundary detection,trecvid07 algorithm,video signal processing,fuzzification process,feature representation,shot detection,good detection result,trecvid07,novel feature,mpeg videos,extensive experiment,fuzzy logic,feature extraction,vector machines,proposed algorithm,support vector machines,compressed domain video processing,algorithm design and analysis,real time systems,transform coding,real time,support vector machine,video processing
Computer vision,Algorithm design,Fuzzy classification,Pattern recognition,Fuzzy set operations,Computer science,Support vector machine,Fuzzy logic,Transform coding,Fuzzy set,Feature extraction,Artificial intelligence
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-5655-0
978-1-4244-5655-0
5
PageRank 
References 
Authors
0.48
10
3
Name
Order
Citations
PageRank
Juan Chen150.48
Stan Ipson2122.03
Jianmin Jiang398581.39