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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ja-Hwung Su Chun-Yen Wang Ting-Wei Chiu Ying, J.J.-C. Tseng, V.S. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Inf. Manage., Kainan Univ., Taoyuan, Taiwan (Ja-Hwung Su; Chun-Yen Wang; Ting-Wei Chiu) || Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan (Ying, J.J.-C.; Tseng, V.S.) |
| Abstract | Recently, advanced multimedia technologies enable a rapid growth of music data. It is accordingly a challenging issue to effectively retrieve the desired music pieces from a music collection. Traditional solutions for music retrieval can be divided into two types, namely text-based music retrieval and content-based music retrieval. However, it is difficult to satisfy both textual-percept and audio-content requirements from users. To tackle such problems, in this paper, we propose a new approach that retrieves music using fuzzy music-sense features and audio features. On one hand, the fuzzy music-sense features are adopted as auxiliary ones to increase the precision of content based music retrieval. On the other hand, the fuzzy music-sense features can also provide users with semantic music retrieval without precise query definitions. The experimental results reveal that, our proposed method can catch the relevant music accurately and semantically through effectively bridging music content to music sense. |
| Starting Page | 259 |
| Ending Page | 264 |
| File Size | 628632 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479954643 |
| DOI | 10.1109/GRC.2014.6982846 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-22 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | content-based text-based music sense Databases Instruments Semantics Music Feature extraction Content-based retrieval Vectors fuzzy Music retrieval |
| Content Type | Text |
| Resource Type | Article |
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