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컴퓨터 게임을 위한 음악 기호의 변화에 강인한 악보인식 시스템

The Music Score Recognition System of the Robust Music Symbols Distortion for Computer Games

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초록

Introduce the score-recognition method. E.g The note, beat and other symbols for the play music. Usually, the score-recognition is using the template matching or statistical model. This paper suggest the new method that is using the template matching and feature of pixel pattern for computer games. Typically, the morphology of general music symbol are independent on the change of font. For instance the head and line of note, staccato, crescendo, decrescendo and so on. But some music symbol aren’t keep their morphology. For instance the beat of the note, chord and beam note. This paper applying the template matching at the general music symbol and applying the feature of pixel pattern analysis method at the some music symbol. So this paper can get great accuracy of score-recognition. This paper can recognize the Whole, Half, Quarter, Eighth and Sixteenth note and rest, Seminote, Staccato, Crescendo, Decrescendo, Key signature and Clef

Abstract

Introduce the score-recognition method. E.g The note, beat and other symbols for the play music. Usually, the score-recognition is using the template matching or statistical model. This paper suggest the new method that is using the template matching and feature of pixel pattern for computer games. Typically, the morphology of general music symbol are independent on the change of font. For instance the head and line of note, staccato, crescendo, decrescendo and so on. But some music symbol aren’t keep their morphology. For instance the beat of the note, chord and beam note. This paper applying the template matching at the general music symbol and applying the feature of pixel pattern analysis method at the some music symbol. So this paper can get great accuracy of score-recognition. This paper can recognize the Whole, Half, Quarter, Eighth and Sixteenth note and rest, Seminote, Staccato, Crescendo, Decrescendo, Key signature and Clef

참고문헌 (8)

  1. 장진범, "게임 콘텐츠 개발을 위한 손금 인식 기술 연구", 한국컴퓨터게임학회논문지, 26(4), pp.187~193 (2013), (사)한국컴퓨터게임학회
  2. 유재권, "인식 기반의 멀티모달 인터페이스를 이용한 체감형 태보 게임", 한국컴퓨터게임학회논문지, 24(3), pp.109~117 (2011), (사)한국컴퓨터게임학회
  3. 안재성, "EEG 방향 인식 패턴을 이용한 게임 인터페이스 설계", 한국컴퓨터게임학회논문지, 3(21), pp.161~166 (2010), (사)한국컴퓨터게임학회
  4. 이진선, "컴퓨터 게임을 위한 패턴인식기술 사례연구", 한국컴퓨터게임학회논문지, 2(20), pp.125~133 (2010), (사)한국컴퓨터게임학회
  5. Isaac Lee, "Music Score Recognition System Using Line Tracking and Template Matching", Proceeding of Korea Information Science Society, 34(1(C)), pp.417~421 (2007)
  6. Sungkee Lee, "Recognition of Music Scores using Neural Networks", Journal of Korea Information Science Society, 21(7), pp.1358~1366 (1994)
  7. Otsu N., "A threshold selection method from gray-level histograms", IEEE Transaction on Systems, Man and Cybernetics, 9(1), pp.62~66 (1979)
  8. 박건희, "휴대폰 카메라로 촬영한 악보 영상 인식을 위한의사트리 알고리즘", 한국콘텐츠학회 논문지, 8(6), pp.16~25 (2008), 한국콘텐츠학회

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