Relevance feedback in conceptual image retrieval: a user evaluation

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2006

Autores

torres, j (Autor) Outra; reis, lp (Autor) FEUP

Ata de Conferência Internacional

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

Páginas: 755-770

1st Iberian Conference on Information Systems and Technologies

Ofir, PORTUGAL, JUN 21-23, 2006

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 16