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Photo Mosaic Smartphone Application in Client-Server Based Large-Scale Image Databases

Authors: Jinho Kim, Sang-Hun Lee, Bum-Soo Kim, Yang-Sae Moon


In this paper we present a photo mosaic smartphone application in client-server based large-scale image databases. Photo mosaic is not a new concept, but there are very few smartphone applications especially for a huge number of images in the client-server environment. To support large-scale image databases, we first propose an overall framework working as a client-server model. We then present a concept of image-PAA features to efficiently handle a huge number of images and discuss its lower bounding property. We also present a best-match algorithm that exploits the lower bounding property of image-PAA. We finally implement an efficient Android-based application and demonstrate its feasibility.

Keywords: Data Mining, Similarity Search, Smartphone Applications, photo mosaic, large-scale image databases

Digital Object Identifier (DOI):

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