Discriminative reference-based scene image categorization

作者：Li Qun^*; Xu Ding; An Le

来源：IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2014, E97D(10): 2823-2826.

DOI：10.1587/transinf.2014EDL8118

• Affinity propagation
• Discriminative reference-set
• Reference-based scheme
• Scene categorization
• Scene image

A discriminative reference-based method for scene image categorization is presented in this letter. Reference-based image classification approach combined with K-SVD is approved to be a simple, efficient, and effective method for scene image categorization. It learns a subspace as a means of randomly selecting a reference-set and uses it to represent images. A good reference-set should be both representative and discriminative. More specifically, the reference-set subspace should well span the data space while maintaining low redundancy. To automatically select reference images, we adapt affinity propagation algorithm based on data similarity to gather a reference-set that is both representative and discriminative. We apply the discriminative reference-based method to the task of scene categorization on some benchmark datasets. Extensive experiment results demonstrate that the proposed scene categorization method with selected reference set achieves better performance and higher efficiency compared to the state-of-the-art methods.

• 出版日期2014
• 单位university of california; 南京邮电大学; University of California