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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Novel Indexing Method of Relations between Salient Objects

Novel Indexing Method of Relations between Salient Objects
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Author(s): R. Chbeir (LISI-INSA de Lyon, France), Y. Amghar (LISI-INSA de Lyon, France)and A. Flory (LISI-INSA de Lyon, France)
Copyright: 2002
Pages: 3
Source title: Issues & Trends of Information Technology Management in Contemporary Organizations
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-930708-39-6.ch229
ISBN13: 9781930708396
EISBN13: 9781466641358


Since the last decade, image retrieval has been used in several application domains such as GIS, medicine, etc. Queries are formulated using different types of features such low-level features of images (histograms, color distribution, etc.), spatial and temporal relations between salient objects, semantic features, etc. In this paper, we propose a novel method for identifying and indexing several types of relations between salient objects. Spatial relations are used here to show how our method can provide high expressive power to relations in comparison to the traditional methods.

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