A user-centered approach to rushes summarisation via highlight-detected keyframes

  • Authors:
  • Daragh Byrne;Peter Kehoe;Hyowon Lee;Ciarán Ó. Conaire;Alan F. Smeaton;Noel E. O'Connor;Gareth J.F. Jones

  • Affiliations:
  • Dublin City University, Dublin, Ireland;Dublin City University, Dublin, Ireland;Dublin City University, Dublin, Ireland;Dublin City University, Dublin, Ireland;Dublin City University, Dublin, Ireland;Dublin City University, Dublin, Ireland;Dublin City University, Dublin, Ireland

  • Venue:
  • Proceedings of the international workshop on TRECVID video summarization
  • Year:
  • 2007

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Abstract

We present our keyframe-based summary approach for BBC Rushes video as part of the TRECVid Summarisation benchmark evaluation carried out in 2007. We outline our approach to summarisation that uses video processing for feature extraction and is informed by human factors considerations for summary presentation. Based on the performance of our generated summaries as reported by NIST, we subsequently undertook detailed failure analysis of our approach. The findings of this investigation as well as recommendations for alterations to our keyframe-based summary generation method, and the evaluation methodology for Rushes summaries in general, are detailed within this paper.