Investigating visual feature extraction methods for image annotation

Authors:
Rukun Hu;Shuai Shao;Ping Guo
Affiliations:
Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China;Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China;Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China and The School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

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Abstract

Evolutionary multiobjective optimization (EMO) is an active research area in the field of evolutionary computation. EMO algorithms are designed to find a non-dominated solution set that approximates the entire Pareto front of a multiobjective optimization ...