Video cut detection using frame windows

  • Authors:
  • S. M. M. Tahaghoghi;Hugh E. Williams;James A. Thom;Timo Volkmer

  • Affiliations:
  • RMIT University, Melbourne, Australia;RMIT University, Melbourne, Australia;RMIT University, Melbourne, Australia;RMIT University, Melbourne, Australia

  • Venue:
  • ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
  • Year:
  • 2005

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Abstract

Segmentation is the first step in managing data for many information retrieval tasks. Automatic audio transcriptions and digital video footage are typically continuous data sources that must be pre-processed for segmentation into logical entities that can be stored, queried, and retrieved. Shot boundary detection is a common low-level video segmentation technique, where a video stream is divided into shots that are typically composed of similar frames. In this paper, we propose a new technique for finding cuts --- abrupt transitions that delineate shots --- that combines evidence from a fixed size window of videow frames. We experimentally show that our techniques are accurate using the well-known TREC experimental testbed.