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A Technique to Select Key-Frame for Identifying Harmful Video Images  

Kim, Seong-Gyun (국립 경상대학교 컴퓨터과학과)
Park, Myeong-Chul (국립 경상대학교 컴퓨터과학과)
Ha, Seok-Wun (국립 경상대학교 컴퓨터과학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.10, no.10, 2006 , pp. 1822-1828 More about this Journal
Abstract
A key-frame should be efficiently selected to distinguish bad information from the videos. A previous technique selecting a key-frame mostly consists of the transformation scene-centered. In the case of harmful videos containing the quaility of continuous changes, the technique makes the total rate be reduced by an unnecessary key-frame. This thesis suggests the technique selecting a key-frame, an entry of the distinguishing system by using the quality of changes between the frames. In the experiment of this technique, it was proved that over 90% of the bad information was distinguished by the selected key frame, and also time efficiency was proved by showing 68% of decrement compared to the numbers I-frame. Therefore, This technique makes the system efficient to distinguish bad information, and efficiently can contribute to the distribution of the healthy movie information.
Keywords
Select Key-frame; Harmful Video Images; GOP; Similarity;
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