Efficient search: the informedia video retrieval system

Authors:
Alexander G. Hauptmann;Jonathan J. Wang;Wei-Hao Lin;Jun Yang;Michael Christel
Affiliations:
Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA
Venue:
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Year:
2008

Citing 2
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Abstract

We introduce an interface for efficient video search that exploits the human ability to quickly scan visual content, after an automatic system has done its best to arrange the images in order of relevance. While extreme video retrieval is taxing to the human, it has also been shown to be very effective. The system will demonstrate several ways to rapidly scan images, change search queries, and employ different types of relevance feedback.