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Automatic Image Annotation by Classification Using Mpeg-7 Features

Publication Type : Journal Article

Publisher : IJSRP

Source : International Journal of Scientific and Research Publications (IJSRP), Volume 2, Issue 9 (2012)

Url : http://www.ijsrp.org/research-paper-0912.php?rp=P09175

Campus : Coimbatore

School : School of Engineering

Department : Computer Science

Year : 2012

Abstract : 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.

Cite this Research Publication : 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.

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