%0 Journal Article %T AUTOMATIC IMAGE CATEGORIZATION AND ANNOTATION USING K-NN FOR COREL DATASET %A Patil M.P. and Kolhe S.R. %J Advances in Computational Research %D 2012 %I Bioinfo Publications %X The search of an image in image database using keywords is made powerful due to automatic image annotation. In this paper, an automatic image annotation using K- Nearest Neighbor (K-NN) is presented. The categorization based approach is presented for annotation. Images are first segmented using k-means clustering and then processed to form feature vector. Local features are extracted from the regions of the image. The feature vectors are experimented using K-NN. Our system is validated using ten categories from the COREL images. It is observed that in multiple instance learning using K-NN with color and texture features outperforms for all type of feature vectors. %K Automatic image annotation %K Color features %K Texture features %K K- Nearest Neighbor %K Multiple Instance Learning. %U http://bioinfopublication.org/viewhtml.php?artid=BIA0000305