Semantic Segmentation Tree for image content representation. (14th February 2008)

• Record Type: Journal Article
• Authors: Al-Haj, Ruba; Al Aghbari, Zaher
• Is Part Of: International journal of virtual technology and multimedia. Volume 1:Number 1(2008)
• Page Start: 23
• Page End: 38
• Publication Date: 2008-02-14
• Subjects: image representation -- semantic segmentation tree -- spatio-visual grouping rules -- image content -- hill manipulation algorithm; Multimedia systems -- Periodicals; Computer simulation -- Periodicals; Virtual reality -- Periodicals; 006.705
• Languages: English
• ISSNs: 1741-1874

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.