Skip to Main Content
Shape-based image retrieval has demonstrated encouraging results in retrieving images based on their content. A large body of research in this area has focused on finding effective shape descriptors to search for query images. Nevertheless, the boundless image content variation makes it impossible for a particular choice of descriptor and an algorithm to be effective for all types of images. It is therefore reasonable to approach the problem by combining a group of descriptors and algorithms. Since the effectiveness of an algorithm/descriptor is image dependent, we maintain that for this strategy to achieve its intended goal, the combination scheme must be dynamic as a function of the query context. This paper proposes a context-based fusion algorithm to integrate several shape-based retrieval techniques. Query context is used to determine the most appropriate technique or combination that yields optimal performance. In testing the proposed algorithm, several experiments were conducted.
Date of Conference: June 30 2008-July 3 2008