| dc.contributor.author | WILSON, SIMON PAUL | |
| dc.date.accessioned | 2009-09-18T17:04:03Z | |
| dc.date.available | 2009-09-18T17:04:03Z | |
| dc.date.issued | 2006 | |
| dc.date.submitted | 2006 | en |
| dc.identifier.citation | S.P. Wilson and Georgios Stefanou `Improving CBIR by modelling the search process: a Bayesian approach? in Proceedings of the European Signal Processing Conference, Firenze, Italy, 2006, pp 1-4 | en |
| dc.identifier.other | N | |
| dc.identifier.other | N | en |
| dc.description | PRESENTED | en |
| dc.description.abstract | In this paper we look at a simple image retrieval with relevance
feedback scenario where we model simple properties
of the search process. A content-based image retrieval
method based on Bayesian inference is proposed that infers
these search properties, as well as providing relevant images,
from relevance feedback data. The approach is evaluated by
performing searches for categories of image that invoke different
emotional reactions. | en |
| dc.description.sponsorship | The images of paintings are courtesy of the Bridgeman
Art Library, London (www.bridgeman.co.uk).
This work has been made possible by the Network
of Excellence MUSCLE, contract number FP6-507752
(www.muscle-noe.org), funded by the European
Union. | en |
| dc.format.extent | 1-4 | en |
| dc.format.extent | 201048 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en |
| dc.rights | Y | en |
| dc.subject | Statistics | en |
| dc.title | Improving CBIR by modelling the search process: a Bayesian approach | en |
| dc.type | Conference Paper | en |
| dc.type.supercollection | scholarly_publications | en |
| dc.identifier.peoplefinderurl | http://people.tcd.ie/swilson | |
| dc.identifier.uri | http://hdl.handle.net/2262/32986 | |
