Automatic image annotation /
Mohamed Sami Ismail Abdulhammed
Automatic image annotation / الإستدلال التلقائي للصور Mohamed Sami Ismail Abdulhammed ; Supervised AboulElla Hassanien - Cairo : Mohamed Sami Ismail Abdulhammed , 2012 - 79 Leaves : charts , facsimiles ; 30cm
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
Automatic image annotation Image retrieval Optimization
Automatic image annotation / الإستدلال التلقائي للصور Mohamed Sami Ismail Abdulhammed ; Supervised AboulElla Hassanien - Cairo : Mohamed Sami Ismail Abdulhammed , 2012 - 79 Leaves : charts , facsimiles ; 30cm
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
Automatic image annotation Image retrieval Optimization