NDLI: A content-based video copy detection method with randomly projected binary features

Content Provider	IEEE Xplore Digital Library
Author	Chenxia Wu Jianke Zhu Jiemi Zhang
Copyright Year	2012
Description	Author affiliation: College of Computer Science, Zhejiang University, China (Chenxia Wu; Jianke Zhu; Jiemi Zhang)
Abstract	Video copy detection has been actively studied in a wide range of multimedia applications. This paper presents a novel content-based video copy detection method using the randomly projected binary features. A very efficient sparse random projection method is employed to encode the image features while retaining their discrimination capability. By taking advantage of the extremely fast similarity computation of binary features using Hamming distance, we present a keyframe-based copy retrieval method that exhaustively searches the copy candidates from the large video database without indexing. Moreover, an effective scoring and localization algorithm is proposed to further refine the retrieved copies and accurately locate the video segments. The experimental evaluation has been performed to show the efficacy of the proposed randomly projected binary features. The promising results in the TRECVID2011 [14] content-based copy detection task demonstrated the effectiveness of our proposed approach.
Starting Page	21
Ending Page	26
File Size	295751
Page Count	6
File Format	PDF
ISBN	9781467316118
ISSN	21607508
e-ISBN	9781467316125
e-ISBN	9781467316101
DOI	10.1109/CVPRW.2012.6239256
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Histograms Hamming distance Feature extraction Indexing
Content Type	Text
Resource Type	Article

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