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Scene Classification Using Bag-of-Regions Representations
2007
2007 IEEE Conference on Computer Vision and Pattern Recognition
This paper describes our work on classification of outdoor scenes. First, images are partitioned into regions using one-class classification and patch-based clustering algorithms where one-class classifiers model the regions with relatively uniform color and texture properties, and clustering of patches aims to detect structures in the remaining regions. Next, the resulting regions are clustered to obtain a codebook of region types, and two models are constructed for scene representation: a
doi:10.1109/cvpr.2007.383375
dblp:conf/cvpr/GokalpA07
fatcat:kxb5oecqmngypeplj6acjm7epu