Pickering, Marcus J.; Rüger, Stefan and Sinclair, David
(2002).
| DOI (Digital Object Identifier) Link: | https://doi.org/10.1007/3-540-45479-9_33 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
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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