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http://dx.doi.org/10.5762/KAIS.2011.12.6.2807

An Identification Method of Detrimental Video Images Using Color Space Features  

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)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.12, no.6, 2011 , pp. 2807-2814 More about this Journal
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.
Keywords
Detrimental video; 2-Dimensional Projection Maps; Color Histogram; Detrimental candidate frames; Similarity evaluation; Similarity calculation;
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Times Cited By KSCI : 1  (Citation Analysis)
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