Defining image content with multiple regions-of-interest
- 20 January 2003
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
With the proliferation of multimedia, the web and digital imaging, there now exists a high demand for intelligent tools for image management; most importantly indexing and retrieval - commonly referred to as "query-by-image-content". Existing systems often make use of global attributes such as overall color distributions which ignore the actual composition of the image in terms of internal structures. In this paper we present an experimental image retrieval system designed and based on the principle that it is the user who is most qualified to specify the "content" in an image and not the computer. Consequently, the user is asked to provide salient "regions-of-interest" (ROIs) and to specify the importance of their relative spatial relationships in the query image. Our technique has lead to acceptable retrievals (equal if not better than global-based searches) and provides an intuitive user-interface and more flexibility in specifying image content.Keywords
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