JICCE (Çѱ¹Á¤º¸Åë½ÅÇÐȸ)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
A Method for Identification of Harmful Video Images Using a 2-Dimensional Projection Map |
¿µ¹®Á¦¸ñ(English Title) |
A Method for Identification of Harmful Video Images Using a 2-Dimensional Projection Map |
ÀúÀÚ(Author) |
Chang-Geun Kim
Soung-Gyun Kim
Hyun-Ju Kim
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¿ø¹®¼ö·Ïó(Citation) |
VOL 11 NO. 01 PP. 0062 ~ 0068 (2013. 03) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
This paper proposes a method for identification of harmful video images based on the degree of harmfulness in the video content. To extract harmful candidate frames from the video effectively, we used a video color extraction method applying a projection map. The procedure for identifying the harmful video has five steps, first, extract the I-frames from the video and map them onto projection map. Next, calculate the similarity and select the potentially harmful, then identify the harmful images by comparing the similarity measurement value. The method estimates similarity between the extracted frames and normative images using the critical value of the projection map. Based on our experimental test, we propose how the harmful candidate frames are extracted and compared with normative images. The various experimental data proved that the image identification method based on the 2-dimensional projection map is superior to using the color histogram technique in harmful image detection performance.
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Å°¿öµå(Keyword) |
Harmful video
2-Dimensional projection maps
Color histogram
Harmful candidate frames
Similarity evaluation
Similarity calculation
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