M-MUSICS: Mobile content-based music retrieval system

Byeong Jun Han; Eenjun Hwang; Seungmin Rho; Minkoo Kim

doi:10.1145/1291233.1291345

M-MUSICS: Mobile content-based music retrieval system

Byeong Jun Han^*
, Eenjun Hwang
, Seungmin Rho
, Minkoo Kim

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Accurate voice humming transcription and efficient indexing schemes are essential for a large-scale humming-based music retrieval system. Although many researches have been done to develop such schemes, their performances are not still satisfactory. In our previous works, we proposed (i) a new voice query transcription scheme [4], (ii) a popularity-adaptive indexing structure called FAI [6] for fast retrieval, and (iii) a semisupervised relevance feedback and query reformulation scheme based on a genetic algorithm [7] in order to improve retrieval efficiency. In this demonstration, we extend our efforts to a mobile environment and develop a prototype mobile music retrieval system called M-MUSICS. Our focus in this implementation includes versatile user interface for easy querying and browsing on a typical mobile device such as PDA phone and satisfactory performance in a wireless mobile environment. We report some of the results.

Original language	English
Title of host publication	Proceedings of the Fifteenth ACM International Conference on Multimedia, MM'07
Pages	469-470
Number of pages	2
DOIs	https://doi.org/10.1145/1291233.1291345
Publication status	Published - 2007
Event	15th ACM International Conference on Multimedia, MM'07 - Augsburg, Bavaria, Germany Duration: 2007 Sept 24 → 2007 Sept 29

Publication series

Name	Proceedings of the ACM International Multimedia Conference and Exhibition

Other

Other	15th ACM International Conference on Multimedia, MM'07
Country/Territory	Germany
City	Augsburg, Bavaria
Period	07/9/24 → 07/9/29

Keywords

Content-based music retrieval
Mobile platform
Query by humming
Relevance feedback

ASJC Scopus subject areas

General Computer Science

Access to Document

10.1145/1291233.1291345

Cite this

M-MUSICS: Mobile content-based music retrieval system. / Han, Byeong Jun; Hwang, Eenjun; Rho, Seungmin et al.
Proceedings of the Fifteenth ACM International Conference on Multimedia, MM'07. 2007. p. 469-470 (Proceedings of the ACM International Multimedia Conference and Exhibition).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Han, BJ, Hwang, E, Rho, S & Kim, M 2007, M-MUSICS: Mobile content-based music retrieval system. in Proceedings of the Fifteenth ACM International Conference on Multimedia, MM'07. Proceedings of the ACM International Multimedia Conference and Exhibition, pp. 469-470, 15th ACM International Conference on Multimedia, MM'07, Augsburg, Bavaria, Germany, 07/9/24. https://doi.org/10.1145/1291233.1291345

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title = "M-MUSICS: Mobile content-based music retrieval system",

abstract = "Accurate voice humming transcription and efficient indexing schemes are essential for a large-scale humming-based music retrieval system. Although many researches have been done to develop such schemes, their performances are not still satisfactory. In our previous works, we proposed (i) a new voice query transcription scheme [4], (ii) a popularity-adaptive indexing structure called FAI [6] for fast retrieval, and (iii) a semisupervised relevance feedback and query reformulation scheme based on a genetic algorithm [7] in order to improve retrieval efficiency. In this demonstration, we extend our efforts to a mobile environment and develop a prototype mobile music retrieval system called M-MUSICS. Our focus in this implementation includes versatile user interface for easy querying and browsing on a typical mobile device such as PDA phone and satisfactory performance in a wireless mobile environment. We report some of the results.",

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AB - Accurate voice humming transcription and efficient indexing schemes are essential for a large-scale humming-based music retrieval system. Although many researches have been done to develop such schemes, their performances are not still satisfactory. In our previous works, we proposed (i) a new voice query transcription scheme [4], (ii) a popularity-adaptive indexing structure called FAI [6] for fast retrieval, and (iii) a semisupervised relevance feedback and query reformulation scheme based on a genetic algorithm [7] in order to improve retrieval efficiency. In this demonstration, we extend our efforts to a mobile environment and develop a prototype mobile music retrieval system called M-MUSICS. Our focus in this implementation includes versatile user interface for easy querying and browsing on a typical mobile device such as PDA phone and satisfactory performance in a wireless mobile environment. We report some of the results.

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KW - Relevance feedback

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ER -

M-MUSICS: Mobile content-based music retrieval system

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Keywords

ASJC Scopus subject areas

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