Abstract
Due to the increasing number of photos taken by mobile phone, how to improve the efficiency of re-finding personal photos becomes an important research issue. Based on the survey of the current methods to re-find expected photos in mobile phones, this paper proposes a photo classification strategy based on specific events. We firstly discover the relationship of shooting time and shooting location to specific events, and propose a method to classify personal photos based on them. Because there is no existing data set for experiment, we collect several representative photo collections of different people as experimental data sets, and the experiments show the efficiency of our method. We implement an album system based on our method and compare it with other existing classification ones, and the results show that our strategy can improve the efficiency of re-finding photos.
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Acknowledgements
This research was supported by Natural Science Foundation of Tianjin (No.15JCYBJC46500), the Training plan of Tianjin University Innovation Team (No.TD13-5025), the Major Project of Tianjin Smart Manufacturing (No.15ZXZNCX00050).
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Geng, M., Li, Y., Liu, F. (2018). Classifying Personal Photo Collections: An Event-Based Approach. In: U, L., Xie, H. (eds) Web and Big Data. APWeb-WAIM 2018. Lecture Notes in Computer Science(), vol 11268. Springer, Cham. https://doi.org/10.1007/978-3-030-01298-4_18
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DOI: https://doi.org/10.1007/978-3-030-01298-4_18
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