A histogram-based moment-preserving clustering algorithm for video segmentation

  • Authors:
  • Chi-Chun Lo;Shuenn-Jyi Wang

  • Affiliations:
  • Institute of Information Management, National Chiao-Tung University, 1001 Ta Hsueh Road, Hsinchu 30050, Taiwan;Institute of Information Management, National Chiao-Tung University, 1001 Ta Hsueh Road, Hsinchu 30050, Taiwan

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2003

Quantified Score

Hi-index 0.10

Visualization

Abstract

Video segmentation is the first step of creating video indices for a video retrieval system. A segmentation algorithm is used to identify shots from video data. In this paper, we propose a histogram-based moment-preserving (HBMP) clustering algorithm for segmenting video data. This algorithm is a hybrid of the shot change detection approach and the clustering approach. The computational results indicate that the proposed algorithm is both effective and efficient with respect to various types of video sequence.