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https://idr.l3.nitk.ac.in/jspui/handle/123456789/7044
Title: | A novel approach to video copy detection using audio fingerprints and PCA |
Authors: | Roopalakshmi, R. Ram Mohana Reddy, Guddeti |
Issue Date: | 2011 |
Citation: | Procedia Computer Science, 2011, Vol.5, , pp.149-156 |
Abstract: | In 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. |
URI: | http://idr.nitk.ac.in/jspui/handle/123456789/7044 |
Appears in Collections: | 2. Conference Papers |
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