Shot Change Detection

Chun-Rong Huang1, Huai-Ping Lee2, and Chu-Song Chen1

1. Institute of Information Science, Academia Sinica, Taipei, Taiwan
2. Department of Computer Science, University of North Carolina at Chapel Hill

nckuos AT iis.sinica.edu.tw, lhp AT cs.unc.edu, song AT iis.sinica.edu.tw

shot change

Introduction

Shot change detection is an essential step in video content analysis. However, automatic shot change detection often suffers high false detection rates when there are camera or object movements. In this paper, we propose an approach to solve this problem based on local keypoint matching of the video frames. Experimental results show that the proposed algorithm is effective for all kinds of shot changes.

Publications

  1. Chun-Rong Huang, Huai-Ping Lee, and Chu-Song Chen. Shot Change Detection via Local Keypoint Matching. IEEE Transactions on Multimedia, 2008 (accepted).
  2. Chun-Rong Huang, Huai-Ping Lee, and Chu-Song Chen. A Local Keypoint Matching Technique for Transition Detection. Proceedings of IAPR Conference on Machine Vision Applications, MVA2007, May 2007.

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