Relevance Feedback in Conceptual Image Retrieval: A User Evaluation
| dc.creator | Torres, Jose | |
| dc.creator | Reis, Luis Paulo | |
| dc.date | 2008-09-28 | |
| dc.date.accessioned | 2026-07-07T10:06:04Z | |
| dc.date.available | 2026-07-07T10:06:04Z | |
| dc.description | The Visual Object Information Retrieval (VOIR) system described in this paper implements an image retrieval approach that combines two layers, the conceptual and the visual layer. It uses terms from a textual thesaurus to represent the conceptual information and also works with image regions, the visual information. The terms are related with the image regions through a weighted association enabling the execution of concept-level queries. VOIR uses region-based relevance feedback to improve the quality of the results in each query session and to discover new associations between text and image. This paper describes a user-centred and task-oriented comparative evaluation of VOIR which was undertaken considering three distinct versions of VOIR: a full-fledge version; one supporting relevance feedback only at image level; and a third version not supporting relevance feedback at all. The evaluation performed showed the usefulness of region based relevance feedback in the context of VOIR prototype. | |
| dc.description | 15 Pages, 20 References | |
| dc.identifier | https://arxiv.org/abs/0809.4834 | |
| dc.identifier | http://arxiv.org/abs/0809.4834 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/170201 | |
| dc.subject | Information Retrieval | |
| dc.title | Relevance Feedback in Conceptual Image Retrieval: A User Evaluation | |
| dc.type | text |