Scene classification using saliency based segmentation

For a better expression of images, we propose a Bag of Words approach which is position aware and uses saliency based segmentation to build vocabularies of their own segment. We also apply pLSA algorithm to find hidden topics in each scene image. The experiments show that the separate representation of the regions found by a rough segmentation increase the classification performance.