Fast and Accurate Home Photo Categorization for Handheld Devices using MPEG-7 Descriptors

Byonghwa Oh, Jungsoo Yu, Jihoon Yang, Jongho Nang, Sungyong Park


Home photo categorization has become an issue for practical use of photos taken with various devices. But it is a difficult task because of the semantic gap between physical images and human perception. Moreover, the object-based learning for overcoming this gap is hard to apply to handheld devices due to its computational overhead. We present an efficient image feature extraction method based on MPEG-7 descriptors and a learning structure constructed with multiple layers of Support Vector Machines for fast and accurate categorization of home photos. Experiments on diverse home photos demonstrate outstanding performance of our approach in terms of the categorization accuracy and the computational overhead.


machine learning, feature extraction, image classification, mobile computing, content based retrieval

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J.H. Lim, J.S.Jin, Unifying local and global content-based similarities for home photo re- trieval, Proceedings of 2004 International Conference on Image Processing, 4:2371-2374, 2004.

Y. Chen and J.Z. Yang, Image Categorization by Learning and Reasoning with Regions, The Journal of Machine Learning Research, 5:913-939, 2004.

S.J. Yang, S.K. Kim, K.S. Seo, Y.M. Ro, J.Y. Kim, Y.S. Seo, Semantic categorization of digital home photo using photographic region templates, Proceedings of 2005 Information retrieval research in Asia, 43(2):503-514, 2007.

J.M. Mart ́ınez, MPEG-7 Overview, ISO/IEC JTC1/SC29/WG11N6828, 2004.

C.J.C. Burges, A Tutorial on Support Vector Machines for Pattern Recognition, Data Mining and Knowledge Discovery, 2(2):121-167, 1998.

T. Mitchell, Machine Learning, McGraw Hill, 1998.

H. Eidenberger, Statistical analysis of content-based MPEG-7 descriptors for image retrieval, Multimedia Systems, 10:84-97, 2004.

J.S. Yu, J.H. Nang, An Optimization Method for Extraction of MPEG-7 Color Structure Descriptor and Dominant Color Descriptor, Proceedings of Korea Computer Congress 2009, 36(1A):320-321, 2009.

Institute for Integrated Circuits, Technische Universitt Munchen, MPEG-7 XM Software, Germany, 2003. Available (Online):

B. Fr ̈oba, A. Ernst, Face Detection with the Modified Census Transform, Sixth IEEE In- ternational Conference on Automatic Face and Gesture Recognition, 0:91-96, 2004.

B.H. Oh, J.H. Yang, Discovering Classification Rules using Genetic Algorithm, Proceedings of Korea Computer Congress 2009, 36(1C):480-485, 2009.

T.F. Wu, C.J. Lin, R.C. Weng, Probability Estimates for Multi-class Classification by Pairwise Coupling, Journal of Machine Learning Research, 5:975-1005, 2003.

C.C. Chang, C.J. Lin, LIBSVM : a library for support vector machines, 2001.

M.M. Jlasi, A. Douik, H. Messaoud, Objects Detection by Singular Value Decomposition Technique in Hybrid Color Space: Application to Football Images, International Journal of Computers Communications & Control, 5(2):193-204, 2010.

T. Barbu, An Automatic Face Detection System for RGB Images, International Journal of Computers Communications & Control, 6(1):21-32, 2011.


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