NDLI: Towards using semantic features for near-duplicate video detection

Content Provider	IEEE Xplore Digital Library
Author	Hyun-seok Min De Neve, W. Yong Man Ro
Copyright Year	2010
Description	Author affiliation: Image and Video Systems Lab, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, 305-732, Republic of Korea (Hyun-seok Min; De Neve, W.; Yong Man Ro)
Abstract	An increasing number of near-duplicate video clips (NDVCs) can be found on websites for video sharing. These NDVCs often infringe copyright or clutter search results. Consequently, a high need exists for techniques that allow identifying NDVCs. NDVC detection techniques represent a video clip with a unique set of features. Conventional video signatures typically make use of low-level visual features (e.g., color histograms, local interest points). However, low-level visual features are sensitive to transformations of the video content. In this paper, given the observation that transformations preserve the semantic information in the video content, we study the use of semantic features for the purpose of identifying NDVCs. Experimental results obtained for the MUSCLE-VCD-2007 dataset indicate that semantic features have a high level of robustness against transformations and different keyframe selection strategies. In addition, when relying on the temporal variation of semantic features, semantic video signatures are characterized by a high degree of uniqueness, even when a vocabulary with a low number of semantic concepts is in use (for a query video clip that is sufficiently long).
Starting Page	1364
Ending Page	1369
File Size	665712
Page Count	6
File Format	PDF
ISBN	9781424474912
ISSN	1945788X
e-ISBN	9781424474936
DOI	10.1109/ICME.2010.5583219
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-19
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantics Feature extraction Visualization Robustness Image color analysis Lighting Brightness video signature copy detection near-duplicate detection semantic concepts semantic features video fingerprint
Content Type	Text
Resource Type	Article

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