Contented-Based Large Scale Web Audio Copy Detection
Lezi Wang, Yuan Dong, Hongliang Bai, Jiwei Zhang, Chong Xing Huang, Wei Liu · 2012
The exponential growth of web videos brings content based copy detection into a crucial issue. Besides the image information, audio also plays an important role in copy detection. In this paper, the audio-based copy detection framework is introduced. Three contributions are presented: (1) the band energy difference based feature is improved by adding multi-scale information, which extends the candidate feature sets, (2) a conditional entropy based method is used to select 16 ordinal relations to generate a more compact and robust feature combination among the random $C_{91}^{16}\approx2.6\times10^{17}$ combinations, (3) the result-based fusion strategy is introduced to recall the missed true positives. The proposed algorithm outperforms the traditional coarse fingerprints, shown by experiments conducted in the TRECVID 2011 Content-based Copy Detection (CCD) database.