Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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An Identification Method of Detrimental Video Images Using Color Space Features

컬러공간 특성을 이용한 유해 동영상 식별방법에 관한 연구

  • Kim, Soung-Gyun (Dept. of Business Adminstration, Graduate School, Gyeongsang National University) ;
  • Kim, Chang-Geun (Dept. of Computer Engineering, College of Fusion Technology Engineering, Gyeongnam National University of Science and Technology) ;
  • Jeong, Dae-Yul (Dept. of MIS, College of Business Adminstration, Gyeongsang National University)
  • 김성균 (경상대학교 대학원 경영학과) ;
  • 김창근 (경남과학기술대학교 융합기술공과대학 컴퓨터융합공학과) ;
  • 정대율 (경상대학교 경영대학 경영정보학과)
  • Received : 2011.04.06
  • Accepted : 2011.06.09
  • Published : 2011.06.30
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Abstract

This paper proposes an identification algorithm that detects detrimental digital video contents based on the color space features. In this paper, discrimination algorithm based on a 2-Dimensional Projection Maps is suggested to find targeted video images. First, 2-Dimensional Projection Maps which is extracting the color characteristics of the video images is applied to extract effectively detrimental candidate frames from the videos, and next estimates similarity between the extracted frames and normative images using the suggested algorithm. Then the detrimental candidate frames are selected from the result of similarity evaluation test which uses critical value. In our experimental test, it is suggested that the results of the comparison between the Color Histogram and the 2-Dimensional Projection Maps technique to detect detrimental candidate frames. Through the various experimental data to test the suggested method and the similarity algorithm, detecting method based on the 2-Dimensional Projection Maps show more superior performance than using the Color Histogram technique in calculation speed and identification abilities searching target video images.

본 논문은 컬러공간 특성을 이용하여 유해동영상을 식별하는 알고리즘을 개발하고, 실험을 통하여 알고리즘의 효율성을 검증한다. 유해동영상 식별 알고리즘은 2차원 투영맵에 기초하고 있다. 비디오 이미지의 컬러특성을 추출하는데 있어 2차원 투영맵은 후보 프레임을 효과적으로 추출하는데 적용되어진다. 본 연구에서는 제시된 유사도 계산 알고리즘을 이용하여 추출된 프레임과 기준 이미지 간의 유사도를 먼저 계산하고, 유사도 평가를 통하여 유해동영상 후보프레임을 식별해 내고 임계치를 적용하여 최종 판단을 내린다. 제시된 알고리즘을 적용한 실험결과, 유해동영상을 찾는데 있어 컬러히스토그램보다 본 연구에서 제안한 2차원 투영맵을 이용한 기법이 계산속도와 식별능력 면에서 더 우수함을 입증하였다.

Keywords

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