Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Shot Change Detection Using Fuzzy Clustering Method on MPEG Video Frames

퍼지 클러스터링 기법을 이용한 MPEG 비디오의 장면 전환 검출

  • Lim, Seong-Jae (Dept. of Computer Engineering, Chonnam National University) ;
  • Kim, Woon (Dept. of Computer Engineering, Chonnam National University) ;
  • Lee, Bae-Ho (Dept. of Computer Engineering, Chonnam National University)
  • 임성재 (전남대학교 컴퓨터공학과) ;
  • 김운 (전남대학교 컴퓨터공학과) ;
  • 이배호 (전남대학교 컴퓨터공학과)
  • Published : 2000.11.01
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Abstract

In this paper, we propose an efficient method to detect shot changes in compressed MPEG video data by using reference features among video frames. The reference features among video frames imply the similarities among adjacent frames by prediction coded type of each frame. A shot change is detected if the similarity degrees of a frame and its adjacent frames are low. And the shot change detection algorithm is improved by using Fuzzy c-means (FCM) clustering algorithm. The FCM clustering algorithm uses the shot change probabilities evaluated in the mask matching of reference ratios and difference measure values based on frame reference ratios.

Keywords