Graph grammar based object recognition for image retrieval

Abstract

In order to retrieve a set of intended images from an image archive, human beings think of special contents with respect to the searched scene. The necessity of a semantics-based retrieval leads to a content-based analysis and retrieval of images. From this point of view, our project Image Retrieval for Information Systems (IRIS) develops and combines methods and techniques of computer vision and knowledge representation in a new way in order to automatically generate textual content descriptions of images. IRIS retrieves the images using a conventional text retrieval system. This paper concentrates on the discussion of formalization knowledge for modeling concepts and on object recognition by graph grammars.