Abstract | ||
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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 multiscale 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 C9116 ≈ 2.6 × 1017 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. |
Year | DOI | Venue |
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2012 | 10.1109/ICME.2012.17 | ICME |
Keywords | Field | DocType |
copyright,fusion,video signal processing,conditional entropy,band energy difference based feature,crucial issue,missed true positives,ccd database,audio-based copy detection framework,candidate feature set,trecvid 2011 content-based copy detection database,contented-based large scale web audio copy detection,result-based fusion strategy,conditional entropy based method,multi-scale information,robust feature combination,contend-based copy detection,audio,content-based copy detection,internet,trecvid,web videos,audio copy detection,copy detection,band energy difference,audio signal processing,contented-based large scale web,image information,multiscale information,robustness,feature extraction,entropy,indexing | Pattern recognition,Ordinal number,Computer science,TRECVID,Search engine indexing,Feature extraction,Robustness (computer science),Artificial intelligence,Conditional entropy,Audio signal processing,Exponential growth | Conference |
ISSN | ISBN | Citations |
1945-7871 | 978-1-4673-1659-0 | 7 |
PageRank | References | Authors |
0.51 | 7 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lezi Wang | 1 | 12 | 2.67 |
Yuan DONG | 2 | 139 | 25.66 |
Hongliang Bai | 3 | 152 | 18.48 |
Jiwei Zhang | 4 | 15 | 3.77 |
Chong Huang | 5 | 13 | 2.34 |
Wei Liu | 6 | 8 | 1.88 |