Name
Abstract | ||
|---|---|---|
This paper proposed a framework to assist highlighting and annotating music utilization situation automatically within videos, further to supervise and protect music copyrights. Nowadays, music copyrighters pay attention to their rights increasingly, thus music embedded in TV channel videos should be validated to avoid infringing. Our framework supports Music Copyrighter Society of China(MCSC) to do statistic works to protect the copyright owners. In our framework, through AV separation, feature extractor, classification and assemblage functions, music positioning could be confirmed effectively. Then applying music fingerprint retrieving, music could be annotated automatically with high accuracy. Moreover, our framework is a closed loop self-adaptation system as it can be re-trained regularly to expand annotation database and enhance classifier's efficiency. The system based on our framework has been implemented in MCSC and its effectiveness has been evaluated in a real-life scenario. The results, on experiments of the real-life TV stations and comparisons of former works, show that the music positioning and annotation completed automatically by our system have significant improvement about over 30 times enhancement on the working efficiency. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2671188.2749324 | ICMR |
Keywords | Field | DocType |
Music retrieving, automatic annotation, classification | Annotation,Statistic,Computer science,Communication channel,Fingerprint,Extractor,Classifier (linguistics),Multimedia | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gang Yang | 1 | 32 | 9.38 |
| JiePing Xu | 2 | 45 | 9.72 |
| Xirong Li | 3 | 1191 | 68.62 |