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|Title:||A novel approach to video copy detection using audio fingerprints and PCA|
Ram Mohana Reddy, Guddeti
|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.|
|Appears in Collections:||2. Conference Papers|
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