@inproceedings{1f40122e226240aca73c257d01d2da98,
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.",
keywords = "Content-based music retrieval, Mobile platform, Query by humming, Relevance feedback",
author = "Han, {Byeong Jun} and Eenjun Hwang and Seungmin Rho and Minkoo Kim",
year = "2007",
doi = "10.1145/1291233.1291345",
language = "English",
isbn = "9781595937025",
series = "Proceedings of the ACM International Multimedia Conference and Exhibition",
pages = "469--470",
booktitle = "Proceedings of the Fifteenth ACM International Conference on Multimedia, MM'07",
note = "15th ACM International Conference on Multimedia, MM'07 ; Conference date: 24-09-2007 Through 29-09-2007",
}