Abstract
The information of location for digital photos is important for users to recall memory and retrieve photos with interested events. Geotagging is the process of identifying geographical metadata to digital photos. Since a large number of images may be generated in a journey or trip, traditional manual spatial annotation is time consuming and infeasible for personal collecting. In this paper, GPS signals on photographic devices and images of websites, or photo-sharing social media web are adopted to automatically identify geo-location of personal photos. We study and compare the effectiveness of two individual approaches and the combination approach. The results show that geographical coordinates are the most influential component for resolving geo-location. The geotagging process using sharing photos on social media service is also revealed and discussed.
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References
Jeon, J., Lavrenko, V., Manmatha R.: Automatic image annotation and retrieval using cross-media relevance models. In: the 26th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 119–126 (2003)
Carneior, G., Chan, A.B., Moreno, P.J., Vasconcelos, N.: Supervised Learning of Semantic Class for Image Annotation and Retrieval. IEEE Trans. on Pat. Anal. and Mach. Intell. 29, 394–410 (2007)
Luo, J., Joshi, D., Yu, J., Gallagher, A.: Geotagging in Multimedia and Computer Vision—A Survey. Multimedia Tools and App. 51(1), 187–211 (2011)
Hays, J., Efros, A.A.: IM2GPS: estimating geographic information from a single image. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–8 (2008)
Toyama, K., Logan, R., Roseway, A.: Geographic location tags on digital images. In: the Eleventh ACM International Conference on Multimedia, pp. 156–166 (2003)
Naaman, M., Song, Y.J., Paepcke, A., Garcia-Molina, H.: Automatic organization for digital photographs with geographic coordinates. In: Joint ACM/IEEE Conference on Digital Libraries, pp. 53–62. IEEE (2004)
Hauff, C.: A study on the accuracy of Flickr’s geotag data. In: the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1037–1040 (2013)
Moxley, E., Kleban, J., Manjunath, B.S.: Spirittagger: a geo-aware tag suggestion tool mined from Flickr. In: the 1st ACM International Conference on Multimedia Information Retrieval, pp. 24–30 (2008)
Ivanov, I., Vajda, P., Lee, J.S., Goldmann, L., Ebrahimi, T.: Geotag Propagation in Social Networks based on User Trust Model. Multimedia Tools and App. 56(1), 155–177 (2012)
Abbasi, R., Grzegorzek, M., Staab, S.: Large scale tag recommendation using different image representations. In: Chua, T.-S., Kompatsiaris, Y., Mérialdo, B., Haas, W., Thallinger, G., Bailer, W. (eds.) SAMT 2009. LNCS, vol. 5887, pp. 65–76. Springer, Heidelberg (2009)
de Figueirêdo, H.F., Lacerda, Y.A., de Paiva, A.C., Casanova, M.A., de Souza Baptista, C.: PhotoGeo: A Photo Digital Library with Spatial-Temporal Support and Self-annotation. Multimedia Tools and App. 59(1), 279–305 (2012)
Wang, X.J., Zhang, L., Li, X., Ma, W.Y.: Annotation Images by Mining Image Search Result. IEEE Trans. of Pat. Analy. and Mach. Intell. 30(11), 1919–1932 (2008)
Jaffe, A., Naaman, M., Tassa, T., Davis, M.: Generating summaries and visualization for large collections of geo-referenced photographs. In: the 8th ACM International Workshop on Multimedia Information Retrieval, pp. 89–98 (2006)
Chatzichristofis, S.A., Boutalis, Y.S.: CEDD: color and edge directivity descriptor: a compact descriptor for image indexing and retrieval. In: Gasteratos, A., Vincze, M., Tsotsos, J.K. (eds.) ICVS 2008. LNCS, vol. 5008, pp. 312–322. Springer, Heidelberg (2008)
Chatzichristofis, S.A., Boutalis, Y.S.: Fcth: fuzzy color and texture histogram a low level feature for accurate image retrieval. In: 9th International Workshop on Image Analysis for Multimedia Interactive Services, Klagenfurt, Austria, pp. 191–196 (2008)
Huang, J., Kumar, S.R., Mitra, M., Zhu, W.J., Zabih, R.: Image indexing using color correlograms. In: Conference on Computer Vision and Pattern Recognition, San Juan, Puerto Rico, pp. 762–768 (1997)
Wallace, G.K.: The JPEG Still Picture Compression Standard. Comm. of the ACM 34, 30–44 (1991)
Geonames. http://www.geonames.org
Ku, C.W.: A Hybrid Framework for Automatic Image Annotation. Master Thesis, National University of Tainan, Taiwan (2013)
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Chien, BC., Shi, HT., Fu, CH., Chen, RM. (2015). Automatic Geotagging for Personal Photos with Sharing Images on Social Media Networks. In: Wang, L., Uesugi, S., Ting, IH., Okuhara, K., Wang, K. (eds) Multidisciplinary Social Networks Research. MISNC 2015. Communications in Computer and Information Science, vol 540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48319-0_41
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DOI: https://doi.org/10.1007/978-3-662-48319-0_41
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