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: Image and Video Retrieval, pp. 309–317.

DOI (Digital Object Identifier) Link:	https://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 or Workshop Item
ISSN:	0302-9743
Academic Unit/School:	Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID:	11996
Depositing User:	Users 8580 not found.
Date Deposited:	09 Oct 2008 11:13
Last Modified:	04 Oct 2016 10:14
URI:	http://oro.open.ac.uk/id/eprint/11996
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