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Ȩ Ȩ > ¿¬±¸¹®Çå > ¿µ¹® ³í¹®Áö > JIPS (Çѱ¹Á¤º¸Ã³¸®ÇÐȸ)

JIPS (Çѱ¹Á¤º¸Ã³¸®ÇÐȸ)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) A Lightweight and Effective Music Score Recognition on Mobile Phones
¿µ¹®Á¦¸ñ(English Title) A Lightweight and Effective Music Score Recognition on Mobile Phones
ÀúÀÚ(Author) Tam Nguyen   Gueesang Lee  
¿ø¹®¼ö·Ïó(Citation) VOL 11 NO. 03 PP. 0438 ~ 0449 (2015. 09)
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(Korean Abstract)
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(English Abstract)
Recognition systems for scanned or printed music scores that have been implemented on personal computers have received attention from numerous scientists and have achieved significant results over many years. A modern trend with music scores being captured and played directly on mobile devices has become more interesting to researchers. The limitation of resources and the effects of illumination, distortion, and inclination on input images are still challenges to these recognition systems. In this paper, we introduce a novel approach for recognizing music scores captured by mobile cameras. To reduce the complexity, as well as the computational time of the system, we grouped all of the symbols extracted from music scores into ten main classes. We then applied each major class to SVM to classify the musical symbols separately. The experimental results showed that our proposed method could be applied to real time applications and that its performance is competitive with other methods.
Å°¿öµå(Keyword) Mobile Camera   Music Score   SVM   Symbol Classification  
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