Thinking of a System for Image Retrieval

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Thinking of a System for Image Retrieval
Increasing applications are demanding effective and efficient support to perform retrieval in large collections of digital images. The work presented here is an early stage research focusing on the integration between text-based and contentbased image retrieval. The main objective is to find a valid solution to the problem of reducing the so called semantic gap, i.e. the lack of coincidence existing between the visual information contained in an image and the interpretation that a user can give of it. To address the semantic gap problem, we intend to use a combination of several approaches. Firstly, a linking between low-level features and text description is obtained by a semi-automatic annotation process, which makes use of shape prototypes generated by clustering. Precisely, the system indexes objects based on shape and groups them into a set of clusters, with each cluster represented by a prototype. Then, a taxonomy of objects that are described by both visual ontologies and textu...
Giovanna Castellano, Gianluca Sforza, Maria Alessa
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2010
Where IIR
Authors Giovanna Castellano, Gianluca Sforza, Maria Alessandra Torsello
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