DocumentCode
545425
Title
Abrupt shot boundary detection algorithm based on fuzzy clustering neural network
Author
Shen, Shujuan ; Cao, Jianchun
Author_Institution
Inf. Eng. Coll., Zhengzhou Univ., Zhengzhou, China
Volume
2
fYear
2011
fDate
11-13 March 2011
Firstpage
246
Lastpage
248
Abstract
A novel model of fuzzy clustering neural network is discussed, which synthesizes unsupervised fuzzy competitive learning algorithm and self-organized competitive network. Based on this model, an algorithm of abrupt video shot boundary detection is presented which is a two-stage clustering on a linear feature space. The experimental results obtained demonstrate that the algorithm is feasible and efficient.
Keywords
fuzzy set theory; neural nets; pattern clustering; unsupervised learning; video signal processing; abrupt shot boundary detection; abrupt video shot boundary detection; fuzzy clustering neural network; linear feature space; self-organized competitive network; two-stage clustering; unsupervised fuzzy competitive learning; Algorithm design and analysis; Artificial neural networks; Cameras; Clustering algorithms; Feature extraction; Histograms; Measurement; abrupt shot boundary detection; competitive learning algorithm; fuzzy clustering; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-61284-839-6
Type
conf
DOI
10.1109/ICCRD.2011.5764124
Filename
5764124
Link To Document