Evaluation of automatic shot boundary detection on a large video test suite

  • Authors:

  • Colin O'Toole;Alan Smeaton;Noel Murphy;Sean Marlow

  • Affiliations:

  • School of Computer Applications, Dublin City University, Dublin, Ireland;School of Computer Applications, Dublin City University, Dublin, Ireland;School of Electronic Engineering, Dublin City University, Dublin, Ireland;School of Electronic Engineering, Dublin City University, Dublin, Ireland

  • Venue:
  • IM'99 Proceedings of the 1999 international conference on Challenge of Image Retrieval
  • Year:
  • 1999

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Abstract

The challenge facing the indexing of digital video information in order to support browsing and retrieval by users, is to design systems that can accurately and automatically process large amounts of heterogeneous video. The segmentation of video material into shots and scenes is the basic operation in the analysis of video content. This paper presents a detailed evaluation of a histogram-based shot cut detector based on eight hours of TV broadcast video. Our observations are that the selection of similarity thresholds for determining shot boundaries in such broadcast video is difficult and necessitates the development of systems that employ adaptive thresholding in order to address the huge variation of characteristics prevalent in TV broadcast video.