Abstract
Personalized navigation of 3D large scale geo-referred scenes has a tremendous impact in digital cultural heritage. This is a result of the recent progress in digitization technology which leads to the creation of massive digital geographic libraries. However, an efficient personalized 3D geo-referred architecture requires intelligent and on-line learning strategies able to dynamically capture user’s preferences dynamics. In this paper, we propose an adaptive spectral learning framework towards 3D navigation of geo-referred scenes. Spectral clustering presents advantages compared to traditional center-based partitioning methods, such as the k-means; it effectively categorize non-Gaussian, complex distributions, present invariability to shapes and densities and it does not depend on the similarity metric used since learning is performed through similarity matrices by exploiting pair-wise comparisons. The main difficulty, however, in incorporating spectral learning in a 3D navigation architecture is its static implementation. To handle this difficulty, we propose in this paper an adaptive framework through the use of adaptive spectral learning which tailors 3D navigation to user’s current needs.
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References
Chen, C., Hsu, M., Lee, Y., Sun, K., Lin, Y., Lee, W.: Applying Augmented Reality to visualize the history of traditional architecture in Taiwan. In: Proceedings of XXII CIPA Symposium, Kyoto, Japan, pp. 11–15 (October 2009)
Pecchioli, L., Carrozzino, M., Mohamed, F., Bergamasco, M., Kolbe, T.H.: ISEE: Information access through the navigation of a 3D interactive environment. Journal of Cultural Heritage 12, 287–294 (2011)
V-CITY, The Virtual City Project, http://vcity.diginext.fr
Doulamis, N., Doulamis, A.: Evaluation of Relevance Feedback Schemes in Content-based in Retrieval Systems. Signal Processing: Image Comm. 21, 334–357 (2006)
Nadi, S., Delavar, M.R.: Multi-citeria, personalized route planning using quantifier-guided ordered weighted averaging operators. International Journal of Applied Earth Observation and Geoinformation 13, 322–3358 (2011)
Rui, Y., Huang, T.S., Ortega, M., Mehrotra, S.: Relevance feedback: A power tool for interactive content-based image retrieval. IEEE Trans. on CSVT 8, 644–655 (2008)
Doulamis, N., Doulamis, A., Varvarigou, T.: Adaptive Algorithms for Interactive Multimedia. IEEE Multimedia Magazine 10, 38–47 (2003)
Niaraki, S.A., Kim, K.: Ontology based personalized route planning system using a multi-criteria decision making approach. Expert Systems with Applications, Science Direct 36(2), 2250–2259 (2009)
Yiakoumenttis, C., Doulamis, N., Miaoulis, G., Ghazanfarpour, D.: Active Learning of User’s Preferences Estimation Towards a Personalised 3D Navigation of Georeferenced Scenes. Submitted to the Journal of Geoinformatica (2012)
Cohen, W., Schapire, R., Singer, Y.: Learning to Order Things. Journal of Artificial Intelligence Research 10, 243–270 (1999)
Bach, F.R., Jordan, M.I.: Learning spectral clustering. In: Thrun, S., Saul, L., Schoelkopf, B. (eds.) Advances in Neural Information Processing Systems (NIPS) 16, (long version) (2004)
Wagstaff, K., Cardie, C., Rogers, S., Schrodl, S.: Constrained K-means clustering with background knowledge. In: ICML (2001)
Luxburg, U.: A tutorial on Spectral Clustering. Journal Statistics and Computing 17, 395–416 (2007)
Ning, H., Xu, W., Chi, Y., Gong, Y., Huang, T.: Incremental spectral clustering with application to monitoring of evolving blog communities. In: SIAM Int. Conf. on Data Mining (2007)
Shi, J., Malik, J.: Normalized cut and image segmentation. IEEE Trans. PAMI 22(8), 888–905 (2000)
Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill Book Company, New York (1982)
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Doulamis, N., Yiakoumettis, C., Miaoulis, G. (2012). On-line Spectral Learning in Exploring 3D Large Scale Geo-Referred Scenes. In: Ioannides, M., Fritsch, D., Leissner, J., Davies, R., Remondino, F., Caffo, R. (eds) Progress in Cultural Heritage Preservation. EuroMed 2012. Lecture Notes in Computer Science, vol 7616. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34234-9_11
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DOI: https://doi.org/10.1007/978-3-642-34234-9_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34233-2
Online ISBN: 978-3-642-34234-9
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