Abstract
With an increasing number of smartphone user, people can easily take a hundreds of daily photos with their smartphone. However the growth of taken photos cause problems that the user are hard to browse, search and manage them. In this paper, we describe our spatial clustering method to enhance photo management in smartphone with considering perceptual color distribution. We address how to group nearly identical photos(NIP) taking duplicate photos in order to get a better quality photo. To measure perceptual differences between two photos, we conduct the CIELAB color metric and the optimal matching by dominant colors and specific colors. Also, we try to investigate the key features of NIP such as the similarity threshold and the number of dominant colors and specific colors. The result of experiments shows that our method enable to classify NIP groups similar to manual operation result and the average accuracy is 0.95.
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Lab color space, http://en.wikipedia.org/wiki/Lab_color_space
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Kim, K., Kim, SH., Cho, HG. (2011). A Fast Summarization Method for Smartphone Photos Using Human-Perception Based Color Model. In: Kim, Th., et al. Multimedia, Computer Graphics and Broadcasting. MulGraB 2011. Communications in Computer and Information Science, vol 263. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27186-1_12
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DOI: https://doi.org/10.1007/978-3-642-27186-1_12
Publisher Name: Springer, Berlin, Heidelberg
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