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The widespread utilization of digital visual media has motivated many research efforts towards efficient search and retrieval from large photo collections. Traditionally, SIFT feature-based methods have been widely used for matching photos taken at particular locations or places of interest. These methods are very time-consuming due to the complexity of the features and the large number of images typically contained in the image database being searched. In this paper, we propose a fast approachdoi:10.1109/icme.2010.5582565 dblp:conf/icmcs/ChenDL10 fatcat:ebpqckcx3ngs7cwr6qalgger6y