EMIF: Towards a scalable and effective indexing framework for large scale music retrieval

Jialie Shen, Tao Mei, Dacheng Tao, Xuelong Li, Yong Rui

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedings

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 languageEnglish
Title of host publicationICMR 2015 - Proceedings of the 2015 ACM International Conference on Multimedia Retrieval
Place of PublicationShanghai; China
PublisherAssociation for Computing Machinery, Inc
Pages543-546
Number of pages4
ISBN (Electronic)9781450332743
DOIs
Publication statusPublished - Jun 2015
Externally publishedYes
Event5th ACM International Conference on Multimedia Retrieval, ICMR 2015 - Shanghai, China
Duration: 23 Jun 201526 Jun 2015

Conference

Conference5th ACM International Conference on Multimedia Retrieval, ICMR 2015
CountryChina
CityShanghai
Period23/06/1526/06/15

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  • Cite this

    Shen, J., Mei, T., Tao, D., Li, X., & Rui, Y. (2015). EMIF: Towards a scalable and effective indexing framework for large scale music retrieval. In ICMR 2015 - Proceedings of the 2015 ACM International Conference on Multimedia Retrieval (pp. 543-546). Association for Computing Machinery, Inc. https://doi.org/10.1145/2671188.2749346