The Journal of the Convergence on Culture Technology (문화기술의 융합)

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
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Rotation Invariant Color-Shape Description Method using Complex Color Model

복소 색상 모델을 이용한 회전 불변 색상-모양 기술 방법

  • Minseok CHoi (Div. of A.I Convergence, Sahmyook University)
  • 최민석 (삼육대학교 인공지능융합학부)
  • Received : 2024.09.15
  • Accepted : 2024.11.01
  • Published : 2024.11.30
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Abstract

The spread of various digital devices, the development of communication and network technologies, and the spread of personal media services have led to an explosive increase in the production and distribution of multimedia content. Recognition and search of multimedia data such as images and videos requires a content-based recognition and search method that analyzes and quantifies the physical characteristics of the data and compares them. In content-based search of images, color and shape become important visual features. In this paper, a method to describe and search the spatial distribution of color regardless of image rotation using the complex color model to intergrate color and shape features is proposed. It was confirmed through experiments that by applying a rotation-invariant shape descriptor to a complex color image converted according to a complex color model, color-shape could be expressed and recognized regardless of rotation.

다양한 디지털 장비의 보급과 통신 및 네트워크 기술의 발전, 그리고 개인형 미디어 서비스의 확산은 멀티미디어 콘텐츠의 생산 및 유통을 폭발적으로 증가시켰다. 이미지나 동영상 같은 멀티미디어 데이터의 인식 및 검색은 데이터의 물리적인 특징들을 분석하여 정량화하고 이를 비교하는 내용 기반 인식 및 검색 방법이 요구된다. 이미지의 내용 기반 검색에서는 색상과 모양이 중요한 시각적 특징이 된다. 본 논문에서는 색상 특징과 모양 특징을 통합하여 표현하기 위해 제안된 복소 색상 모델을 사용하여 색상이 공간적으로 분포된 모양을 이미지의 회전과 무관하게 표현하고 인식하는 방법을 제안한다. 복소 색상 모델에 따라 변환된 복소 색상 이미지에 대하여 회전 불변 모양 기술자를 적용하면 회전과 무관하게 색상-모양을 표현하고 인식할 수 있음을 실험을 통하여 확인하였다.

Keywords

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