한국전자통신학회논문지 (The Journal of the Korea institute of electronic communication sciences)

한국전자통신학회 (Korea Institute of Electronic Communication Science)
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온톨로지를 이용한 이미지 내 객체사이의 의미 정보 추론

Semantic Information Inference among Objects in Image Using Ontology

  • 김지원 (호남대학교 컴퓨터공학과) ;
  • 김철원 (호남대학교 컴퓨터공학과)
  • 투고 : 2020.03.17
  • 심사 : 2020.06.15
  • 발행 : 2020.06.30
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초록

웹 페이지에는 방대한 양의 멀티미디어 자료가 있으며 정확한 검색을 위하여 낮은 수준의 시각 정보에서 의미 정보를 추출하는 방법에 대한 연구가 이루어지고 있다. 그러나 이러한 기술들은 대부분 한 장의 이미지에 하나의 정보를 추출하므로 이미지 내에 여러 객체가 조합되어 있는 경우 의미 정보를 추출하기 어렵다. 본 논문에서는 이미지내의 여러 객체와 배경 등을 추출하기 위하여 우선 각각의 저수준 특징을 추출하고, 이를 SVM을 이용하여 미리 정의해 놓은 배경과 객체로 나눈다. 이렇게 나눈 객체와 배경은 온톨로지로 구축하고, 위치와 연관 관계의 의미 정보를 추론엔진을 이용하여 추론한다. 이는 이미지 내의 여러 객체들 사이에 의미 정보 추론이 가능하고, 좀 더 복잡하고 다양한 고수준의 의미 정보를 추론하는 방법을 제안한다.

There is a large amount of multimedia data on the web page, and a method of extracting semantic information from low level visual information for accurate retrieval is being studied. However, most of these techniques extract one of information from a single image, so it is difficult to extract semantic information when multiple objects are combined in the image. In this paper, each low-level feature is extracted to extract various objects and backgrounds in an image, and these are divided into predefined backgrounds and objects using SVM. The objects and backgrounds divided in this way are constructed with ontology, infer the semantic information of location and association using inference engine. It's possible to extract the semantic information. We propose this method process the complex and high-level semantic information in image.

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참고문헌

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