Imagination: Exploiting Link Analysis for Accurate Image Annotation

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Imagination: Exploiting Link Analysis for Accurate Image Annotation
Abstract. The advent of digital photography calls for effective techniques for managing growing amounts of color images. Systems that only rely on low-level image features are nowadays limited by the semantic gap problem, which leads to a mismatch between the user subjective notion of similarity and the one adopted by a system. A possible way to reduce the semantic gap is to (semi-)automatically assign meaningful terms to images, so as to enable a high-level, concept-based, retrieval. In this paper we explore the opportunities offered by graph-based link analysis techniques in the development of a semi-automatic image captioning system. The approach we propose is appealing since the predicted terms for an image are in variable number, depending on the image content, t correlated terms, and can also describe abstract concepts. We present preliminary results on our prototype system and discuss possible extensions.
Ilaria Bartolini, Paolo Ciaccia
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where AMR
Authors Ilaria Bartolini, Paolo Ciaccia
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