Genetic algorithm-based relevance feedback for image retrieval using local similarity patterns
Information Processing and Management: an International Journal
An Efficient Voice Transcription Scheme for Music Retrieval
MUE '07 Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering
Music Information Retrieval Using a GA-based Relevance Feedback
MUE '07 Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering
FMF: Query adaptive melody retrieval system
Journal of Systems and Software
Intelligent mobile content-based retrieval from digital music libraries
Intelligent Decision Technologies
Music emotion classification and context-based music recommendation
Multimedia Tools and Applications
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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 semi-supervised 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.