영상구성 파라미터 기반 지능형 OST 매칭 프로그램 개발 연구
A Study on the Development of Intelligent OST Matching Program Based on Image Composition Parameters
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초록
본 연구에서는 영상에 어울리는 배경음악을 자동으로 찾아주는 ‘지능형 OST 매칭 프로그램’을 개발하였다. 이것을 가능하게 하기 위하여 영상의 구성요소를 ‘감성’, ‘색체’, ‘픽셀의 움직임’으로 선정하였고, 음악의 구성요소를 ‘조성’, ‘템포’, ‘음고’로 선정하여 비교할 수 있도록 하였다. 프로그램에서는 사전에 ‘배경음악 라이브러리’를 만들어 다양한 음악을 분류해 두었다. 그리고 입력된 영상을 분석하고 구성요소를 ‘배경음악 라이브러리’에 저장된 음악들의 분석결과와 비교하여 최대한 일치하는 음악을 선정할 수 있게 하였다. 최종적으로 ‘선정 민감도’, ‘배경음악과 비디오-소리의 비율’ 등을 설정하여 출력할 수 있도록 하였다. 이와 같이 제작된 프로그램은 개인 영상제작자들의 창작활동에 적절히 활용될 수 있기를 희망하는 바이다.
Abstract
In this study, an ‘intelligent OST matching program’ was developed to find background music using image recognition methods. To make this possible, convergence content was created by selecting scene analysis elements as ‘emotion,’ ‘color,’ and ‘pixel motion speed,’ and music components as ‘pitch,’ ‘tempo,’ and ‘dynamics.’ In the program, a ‘BGM library’ was created in advance and various music was classified. In addition, it was possible to select music that matches as much as possible by analyzing the input video and comparing the components with the analysis results of the music stored in the ‘BGM library’. In this process, a radial pentagonal graph was used to make it easier to see the comparison process between video and background music. Finally, it was possible to select ‘BGM Choice Sensitivity’ and ‘The Ratio of Background Music to Video Sound,’ and if a matching background music could not be found, music selected in advance could be used. I hope that the program produced in this way can be appropriately used for the creative activities of individual video producers.
참고문헌 (9)
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