NDLI: An efficient content based video copy detection using the sample based hierarchical adaptive k-means clustering

Content Provider	Springer Nature Link
Author	Liao, Kaiyang Liu, Guizhong
Copyright Year	2014
Abstract	Content-based video copy detection (CBCD) is very important for video copyright protection in view of the growing popularity of video sharing websites, which deals with not only whether a copy occurs in a query video stream but also where the copy is located and where the copy is originated from. In this paper, we present a video copy detection scheme based on local features which can deal with very large databases both in terms of quality and speed. First, we propose a new clustering algorithm to build “visual words” efficiently. Since our CBCD framework performs indexing using tree structures of cluster centers, the proposed clustering algorithm can improve the quality of retrieval and greatly shrink the off-line training time. Then, we introduce a TF-IDF (term frequency–inverse document frequency) weighted BOF (bag-of-features) voting retrieval method for matching video frames, which is robust to significant video distortion and efficient in terms of memory usage and computation time. Furthermore, we present a verification step robustly inspecting the temporal consistency between the query video and the corresponding candidate videos to further improve the accuracy of retrieval. The experimental results show that the proposed video copy detection scheme achieves high localization accuracy, while achieving comparable performance compared with state-of-the-art copy detection methods.
Starting Page	133
Ending Page	158
Page Count	26
File Format	PDF
ISSN	09259902
Journal	Journal of Intelligent Information Systems
Volume Number	44
Issue Number	1
e-ISSN	15737675
Language	English
Publisher	Springer US
Publisher Date	2014-09-07
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Large-scale video indexing Content-based video copy detection Hierarchical clustering Information Storage and Retrieval Data Structures, Cryptology and Information Theory Artificial Intelligence (incl. Robotics) IT in Business Document Preparation and Text Processing
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Networks and Communications Information Systems Software Hardware and Architecture

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