University of Oxford video retrieval system

Authors:
James Philbin;Andrew Zisserman
Affiliations:
University of Oxford, Oxford, United Kngdm;University of Oxford, Oxford, United Kngdm
Venue:
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Year:
2008

Citing 1
Cited 0

Video Google: A Text Retrieval Approach to Object Matching in Videos

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2

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Abstract

Fast multimedia retrieval in large video datasets remains an extremely challenging problem. This system explores how novel techniques from Computer Vision can be used to search in cases where the subtitle text is uninformative (e.g. actions, particular objects).