ABSTRACT
This chapter focuses on image retrieval using keywords under the perspective of machine learning, by covering different aspects of the current research in the area. It focuses on image retrieval using keywords under the perspective of machine learning. The chapter discusses different aspects of the current research in this area, including low-level feature extraction, creation of training sets and development of machine learning methodologies. It presents the evaluation framework of automatic image annotation and discusses various methods and metrics utilized within it. Given the rapid growth of available digital images, image retrieval has attracted a lot of research interest. An extensive review of machine learning classifiers in image annotation is given in while the general principal of machine learning utilization is revisited. Automatic annotation of digital images with semantic labels is traditionally handled by utilizing machine learning emphasizing classification.
