Detection of semantic objects using description graphs

This paper presents a technique to detect instances of classes (objects) according to their semantic definition in the form of a Description Graph. Classes are defined as combinations of instances of lower level semantic classes and allow the definition of a Semantic Tree that organizes classes in semantic levels. At the bottom level of the Semantic Tree, classes are defined by a perceptual model containing a list of low-level descriptors. The proposed detection algorithm follows a bottom-up/top-down approach, building Semantic Trees on a region-based representation of the media. The flexibility of the approach is assessed on different examples of planar objects, such as frontal faces, groups of islands, flags and traffic signs.

• Type: Conference
• Year: 2005
• Where: ICIP
• Authors: Ferran Marqués, Xavier Giro
• Keywords: Building Semantic Trees, ICIP 2005, Image Processing, Level Semantic Classes, Semantic Definition, Semantic Levels, Semantic Tree