Abstract
This article presents a novel indexing framework called EMIF (Effective Music Indexing Framework) to facilitate scalable and accurate content based music retrieval. EMIF system architecture is designed based on a "classification-and-indexing" principle and consists of two main functionality layers: 1) a novel semantic-sensitive classification to identify input music's category and 2) multiple indexing structures - one local indexing structure corresponds to one semantic category. EMIF's layered architecture not only enables superior search accuracy but also reduces query response time significantly. To evaluate the system, a set of comprehensive experimental studies have been carried out using large test collection and EMIF demonstrates promising performance over state-of-theart approaches.
Original language | English |
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Title of host publication | ICMR 2015 - Proceedings of the 2015 ACM International Conference on Multimedia Retrieval |
Place of Publication | Shanghai; China |
Publisher | Association for Computing Machinery, Inc |
Pages | 543-546 |
Number of pages | 4 |
ISBN (Electronic) | 9781450332743 |
DOIs | |
Publication status | Published - Jun 2015 |
Externally published | Yes |
Event | 5th ACM International Conference on Multimedia Retrieval, ICMR 2015 - Shanghai, China Duration: 23 Jun 2015 → 26 Jun 2015 |
Conference
Conference | 5th ACM International Conference on Multimedia Retrieval, ICMR 2015 |
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Country/Territory | China |
City | Shanghai |
Period | 23/06/15 → 26/06/15 |