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Product Images Classification with Mul-tiple Features Combination
Proceedings of the 2010 International Conference on E-Business Intelligence
Visual-based automatic product image classification is a great need and challenge work for e-commerce field. Previous work tested few number product categories with one or two descriptors. For the task of product classification over large number categories, we employed kernel-based SVM classifier combining multiple features, including one global descriptor and three complimentary local descriptors. Furthermore, we investigate four ways to combine discriminative features for SVM classifier.doi:10.2991/icebi.2010.66 fatcat:xgzuhislpbakpgqoe6vkt6amsu