Abstract: Automatic image annotation is a process of assigning semantic keywords to images and these annotations are used to retrieve the unlabeled images from large image collections by using semantic query texts. We are proposing the AIAS (Automatic Image Annotation System), which provides a effective mechanism for Annotating images using an active learning framework. The visual features like color and shape gives a great evidence for representing image blobs and its usage for image annotation has been explored in this study. The extracted image feature vectors (color, shape) and training keywords are used by machine learning techniques to automatically apply annotations to new images. During training phase the SVM (Support Vector machine) generation process learns the correlations between image features and training keywords. The trained model provides the mapping between training image data set and semantic keywords and then the trained decision model can be used for the automatic image annotation process.
G. Suresh Kumar , R. Baskaran and A. Kannan , 2006. Automatic Image Annotation Using Binary Decision SVM-AN Integration Framework. Asian Journal of Information Technology, 5: 408-412.