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Video retrieval by feature learning in key frames

Pickering, Marcus J.; Rüger, Stefan and Sinclair, David (2002). Video retrieval by feature learning in key frames. In: 1st International Conference on Image and Video Retrieval (CIVR 2002), 18–19 July 2002, London, UK, pp. 309–317.

DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1007/3-540-45479-9_33
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Abstract

We evaluate the application of feature-vector based image retrieval methods to the problem of video retrieval. A vast number of primitive features is calculated for each of the key frames generated by a segmentation process, and we examine the use of three methods for retrieving video segments using the features — a vector space model, a learning method using the AdaBoost algorithm, and a k-nearest neighbour approach.

Item Type: Conference Item
ISSN: 0302-9743
Academic Unit/Department: Knowledge Media Institute
Item ID: 11996
Depositing User: Users 8580 not found.
Date Deposited: 09 Oct 2008 11:13
Last Modified: 27 Sep 2011 08:22
URI: http://oro.open.ac.uk/id/eprint/11996
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