Automatic image annotation (AIA) is a technique to provide semantic image retrieval. In AIA, the image contents are automatically labelled with a pre-defined set of keywords which are exploited to represent the image semantics. This paper proposes an Automatic image annotation method using MPEG-7 features. The feature vectors are provided for training the KNNclassifier. When a query image is provided by the user, the extracted features are provided to the trained KNN -classifier for annotation. The system also compares the results of different combinations of mpeg 7 descriptors. The Automatic image annotation proposed in this paper is on fruit images. This system has several applications like automatic labeling and price computing of fruits and vegetables in a grocery store, morphological analysis of fruits, for scientific studies, enhanced learning for kids and Down syndrome patients using fruits pattern recognition.
M. P.Gangan and R. Karthi, “Automatic Image Annotation by Classification Using Mpeg-7 Features”, International Journal of Scientific and Research Publications (IJSRP), vol. 2, no. 9, 2012.