Video search by multi-modal and clustering analysis

Authors:
Duy-Dinh Le;Fuminori Yamagishi;Shin'ichi Satoh
Affiliations:
National Institute of Informatics, Tokyo, Japan;National Institute of Informatics, Tokyo, Japan;National Institute of Informatics, Tokyo, Japan
Venue:
Proceedings of the 6th ACM international conference on Image and video retrieval
Year:
2007

Citing 1
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Abstract

We introduce a video search system using multi-modal and clustering analysis. In this system, users can make queries by keywords or by visual contents such as frames or rectangle regions within a frame, the retrieved results are then organized into clusters and only representative frames of these clusters are shown to users. Experiments on TRECVID datasets showed promising results.