Relevance feedback in conceptual image retrieval: a user evaluation

• Type: Article in International Conference Proceedings Book
• Date: 2006

Authors

torres, j (Author) Other; reis, lp (Author) FEUP

Conference proceedings International

Title: ACTAS DA 1A CONFERENCIA IBERICA DE SISTEMAS E TECNOLOGIAS DE INFORMACAO, VOL I

Pages: 755-770

1st Iberian Conference on Information Systems and Technologies

Ofir, PORTUGAL, JUN 21-23, 2006

Indexing

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Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-004-NSP

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 16