The Open UniversitySkip to content

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:
Google Scholar: Look up in Google Scholar


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: 22 Mar 2016 16:47
Share this page:


Scopus Citations

▼ Automated document suggestions from open access sources

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340