An Identification Method of Detrimental Video Images Using Color Space Features
컬러공간 특성을 이용한 유해 동영상 식별방법에 관한 연구

Soung-Gyun Kim, Chang-Geun Kim, Dae-Yul Jeong
2011 Journal of the Korea Academia-Industrial cooperation Society  
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
more » ... d 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.
doi:10.5762/kais.2011.12.6.2807 fatcat:byseo3cx6fgzxovhuofaugs5iq