Coherent bag-of audio words model for efficient large-scale video copy detection
Proceedings of the ACM International Conference on Image and Video Retrieval
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In this paper, a two-stage audio retrieval algorithm based on perceptual hash is proposed. In the firststage, the n-gram algorithm is used to index the perceptual hash values and filter the irrelevant candidates. In the second stage, the Bit Error Rate (BER) is computed for exact searching. Experimental results demonstrate the effectiveness of the two-stage coarse-to-fine method with high precision and recal lvalues