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Title: Semantic Segmentation Tree for image content representation

Authors: Ruba Al-Haj, Zaher Al Aghbari

Addresses: Department of Computer Science, University of Sharjah, UAE. ' Department of Computer Science, University of Sharjah, UAE

Abstract: In this paper, we present a novel algorithm for representing image content by constructing a hierarchy of semantic image regions, called a Semantic Segmentation Tree (SSeg-tree). First, the hill-manipulation algorithm divides an image into several visually coherent segments (small regions), which form the leaves of the SSeg-tree. Then, the method groups these segments based on well-defined spatio-visual grouping rules to produce bigger and more semantic regions, which form the intermediate nodes of the SSeg-tree. The SSeg-tree is a region-based description of the image semantic content that could be useful in many applications such as CBIR and filtering unwanted objects.

Keywords: image representation; semantic segmentation tree; spatio-visual grouping rules; image content; hill manipulation algorithm.

DOI: 10.1504/IJVTM.2008.017108

International Journal of Virtual Technology and Multimedia, 2008 Vol.1 No.1, pp.23 - 38

Published online: 13 Feb 2008 *

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