Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/7044
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dc.contributor.authorRoopalakshmi, R.-
dc.contributor.authorRam Mohana Reddy, Guddeti-
dc.date.accessioned2020-03-30T09:58:27Z-
dc.date.available2020-03-30T09:58:27Z-
dc.date.issued2011-
dc.identifier.citationProcedia Computer Science, 2011, Vol.5, , pp.149-156en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/7044-
dc.description.abstractIn Content-Based Copy detection (CBCD) literature, numerous state-of-the-art techniques are primarily focusing on visual content of video. Exploiting audio fingerprints for CBCD problem is necessary, because of following rea-sons: audio content constitutes an indispensable information source; transformations on audio content is limited compared to visual content. In this paper, a novel CBCD approach using audio features and PCA is proposed, which includes two stages: first, multiple feature vectors are computed by utilizing MFCC and four spectral descriptors; second, features are further processed using PCA, to provide compact feature description. The results of experiments tested on TRECVID-2007 dataset, demonstrate the efficiency of proposed method against various transformations. � 2011 Published by Elsevier Ltd.en_US
dc.titleA novel approach to video copy detection using audio fingerprints and PCAen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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