CLUSTERING METHOD FOR FAST CONTENTBASED IMAGE RETRIEVAL
Dmitry Kinoshenko, Vladimir Mashtalir, Elena Yegorova · Kluwer Academic Publishers eBooks · 2006
When very large image families are involved in query processes, methods of content-based image retrieval must be optimized with a goal function determining a computing complexity. A clustering method which at the image retrieval stage ensure minimal number of comparisons of a query image and images from image database is proposed. Clustering can be fulfilled in feature or signal space. Pointwise set maps are used as the tools to find required partitions.