Video information retrieval using objects and ostensive relevance feedback

Authors:
Paul Browne;Alan F. Smeaton
Affiliations:
Dublin City University, Glasnevin, Dublin, Ireland;Dublin City University, Glasnevin, Dublin, Ireland
Venue:
Proceedings of the 2004 ACM symposium on Applied computing
Year:
2004

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Abstract

In this paper, we present a brief overview of current approaches to video information retrieval (IR) and we highlight its limitations and drawbacks in terms of satisfying user needs. We then describe a method of incorporating object-based relevance feedback into video IR which we believe opens up new possibilities for helping users find information in video archives. Following this we describe our own work on shot retrieval from video archives which uses object detection, object-based relevance feedback and a variation of relevance feedback called ostensive RF which is particularly appropriate for this type of retrieval.