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Automatic Image Annotation using Colour Entropy and Region Contours

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4 Author(s)
G. Sureshkumar ; Department of Information Technology Easwari Engineering College Chennai, India. ; R. Baskaran ; M. Sathya ; M. Deivamani

Semantic Image Annotation is a difficult task in Annotation Based Image Retrieval (ABIR) systems. Several techniques proposed in the past were lagging in efficiency and robustness. In this paper we are proposing a novel technique for automatically annotating multi-object images with higher accuracy. The colour entropy is used to eliminate the image background, and then we applied normalized cut principle for object separation. Our experimental results proved that the multi-class n-SVM performs better with colour feature extracted using histogram and shape feature extracted using Region Contours.

Published in:

Advance Computing Conference, 2009. IACC 2009. IEEE International

Date of Conference:

6-7 March 2009