A Method for Identification of Harmful Video Images Using a 2-Dimensional Projection Map

A Method for Identification of Harmful Video Images Using a 2-Dimensional Projection Map

초록

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.

키워드

Harmful video2-Dimensional projection mapsColor histogramHarmful candidate framesSimilarity evaluationSimilarity calculation
제목
A Method for Identification of Harmful Video Images Using a 2-Dimensional Projection Map
제목 (타언어)
A Method for Identification of Harmful Video Images Using a 2-Dimensional Projection Map
저자
김창근김성균김현주Member, KIICE
DOI
10.6109/jicce.2013.11.1.062
발행일
2013
저널명
Journal of Information and Communication Convergence Engineering
11
1
페이지
62 ~ 68