Successful approaches in the TREC video retrieval evaluations

  • Authors:

  • Alexander G. Hauptmann;Michael G. Christel

  • Affiliations:

  • Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • Proceedings of the 12th annual ACM international conference on Multimedia
  • Year:
  • 2004

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Abstract

This paper reviews successful approaches in evaluations of video retrieval over the last three years. The task involves the search and retrieval of shots from MPEG digitized video recordings using a combination of automatic speech, image and video analysis and information retrieval technologies. The search evaluations are grouped into interactive (with a human in the loop) and non-interactive (where the human merely enters the query into the system) submissions. Most non-interactive search approaches have relied extensively on text retrieval, and only recently have image-based features contributed reliably to improved search performance. Interactive approaches have substantially outperformed all non-interactive approaches, with most systems relying heavily on the user's ability to refine queries and reject spurious answers. We will examine both the successful automatic search approaches and the user interface techniques that have enabled high performance video retrieval.