Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology

This thesis presents four image annotation approaches. The first two presented approaches are based on the optimization of feature weighting for each class using genetic algorithm and particle swarm optimization techniques. For classification and annotation, a multi-calss support vector machine and k-means with key nearest nighbor machine learning classifiers have been applied

Issued also as CD