Paper Info
Title
An Incremental Clustering based codebook construction in video copy detection
Abstract
The quality of codebook is the determinant factor in BoW-based copy detection strategies. However, most of the adopted codebook construction algorithms are derived from image retrieval or object recognition, which neglect the robustness in partitioning original features and copy features (especially those with serious transformations) into the same group. To deal with this problem, we have developed an Incremental Clustering algorithm to construct a robust codebook. Unlike many existing algorithms which need loading the entire data into memory, our algorithm process data incrementally and improve the quality by transferring data from a global view. In addition, we propose a codebook evaluation scheme by simulating copy and non-copy pairs. Our experimental results show that our approach attains a high precision in copy pairs, which demonstrates the robustness of our codebook.
Year
DOI
Venue
2012
10.1109/SSIAI.2012.6202489
SSIAI
Keywords
Field
DocType
noncopy pairs,cbcd systems,content-based copy detection systems,pattern clustering,bow,incremental clustering,bow-based copy detection strategies,copy features,video copy detection,codebook construction,copy pairs,codebook evaluation scheme,codebook quality,image retrieval,video coding,object detection,object recognition,determinant factor,incremental clustering based codebook construction,video retrieval,feature extraction,visualization,databases,robustness,clustering algorithms
Object detection,Computer vision,Linde–Buzo–Gray algorithm,Pattern recognition,Computer science,Image retrieval,Feature extraction,Robustness (computer science),Video copy detection,Artificial intelligence,Cluster analysis,Codebook
Conference
ISBN
Citations 
PageRank 
978-1-4673-1829-7
1
0.36
References 
Authors
2
4
Name
Order
Citations
PageRank
Huamin Ren1445.62
Heri Ramampiaro215420.46
Yongdong Zhang372.20
Shouxun Lin496356.20