A relational vector space model using an advanced weighting scheme for image retrieval |
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| Authors: | Jean Martinet Yves Chiaramella Philippe Mulhem |
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| Institution: | 1. Laboratoire d’Informatique Fondamentale de Lille, Cité scientifique, Bâtiment M3, 59655 Villeneuve d’Ascq Cédex, France;2. Laboratoire d’Informatique de Grenoble, Bâtiment IMAG B, 385 avenue de la Bibliothèque, 38400 Saint Martin d’Hères, France |
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| Abstract: | In this paper, we lay out a relational approach for indexing and retrieving photographs from a collection. The increase of digital image acquisition devices, combined with the growth of the World Wide Web, requires the development of information retrieval (IR) models and systems that provide fast access to images searched by users in databases. The aim of our work is to develop an IR model suited to images, integrating rich semantics for representing this visual data and user queries, which can also be applied to large corpora. |
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| Keywords: | Information retrieval Vector space model Conceptual graph Image indexing Weighting scheme Evaluation |
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