19KS1100, Intelligent Micro-Identification Technology for Music and Video Monitoring,
Park Jee Hyun
Abstract
Fingerprint matching accuracy is essential in deploying a music search service. This paper deals with a method to improve fingerprint matching accuracy by utilizing an auxiliary information which is called power weight. Power weight is an expected robustness of each hash bit. While the previous power mask binarizes the expected robustness into strong and weak bits, the proposed method utilizes a real-valued function of the expected robustness as weights for fingerprint matching. As a countermeasure to the increased storage cost, we propose a compression method for the power weight which has strong temporal correlation. Experiments on the publicly-available music datasets confirmed that the proposed power weight is effective in improving fingerprint matching performance.
KSP Keywords
Compression method, Fingerprint matching, Matching accuracy, Matching performance, Music search, Real-valued, Storage Cost, Temporal Correlation, auxiliary information
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