Abstract
This paper describes CAPIRE, a service for Points Of Interest (POI) recognition from mobile user-generated photos to provide relevant touristic information. The goal is achieved through the combination of positioning information with image processing and Content-Based Image Retrieval (CBIR) techniques. The system shows to be flexible and fast in learning new classes and robust when more instances of known classes are added to the reference database. No a-priori information or model is considered, but only user-generated photos, which are incrementally added to the knowledge base.
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Antonelli, M., Dellepiane, S., Goccia, M.: Design and implementation of web-based systems for image segmentation and CBIR. IEEE Transaction on Instrumentation and Measurement 55(6), 1869–1877 (2006)
Licciardi, C.A., et al.: A Platform For Enabling Context Aware Telecommunication Services. In: Proc. of 3rd Workshop on Context Awareness for Proactive Systems, Guildford, UK (2007)
Goix, L.W., et al.: E-tourism: Applying New Network Technologies to Support National Tourism Sector. In: Notiziario Tecnico Telecom Italia, vol. 1, pp. 22–41 (2009)
Mallat, S.G.: A Wavelet Tour of Signal Processing. Academic Press, London (1998)
Fritz, G., Seifert, C., Paletta, L.: A Mobile Vision System for Urban Object Detection with Informative Local Descriptors. In: Proc. of IEEE 4th Int. Conf. on Comp. Vision Systems (2006)
Datta, R., et al.: Image Retrieval: Ideas, Influences, and Trends of the New Age. In: ACM Computing Surveys (CSUR), vol. 40, pp. 1–60 (2008)
Chen, T., Wu, K., Yap, K., Li, Z., Tsai, F.S.: A Survey on Mobile Landmark Recognition for Information Retrieval. In: Proc. of 10th Int. Conf. on Mobile Data Management: Systems, Services and Middleware (2009)
Haritaoglu, I.: Infoscope: Link from Real World to Digital Information Space. In: Abowd, G.D., Brumitt, B., Shafer, S. (eds.) UbiComp 2001. LNCS, vol. 2201, pp. 247–255. Springer, Heidelberg (2001)
Mai, W., Dodds, G., Tweed, C.: A PDA-Based System for Recognizing Buildings from User-Supplied Images. In: Crestani, F., Dunlop, M.D., Mizzaro, S. (eds.) Mobile HCI International Workshop 2003. LNCS, vol. 2954, pp. 143–157. Springer, Heidelberg (2004)
Chevallet, J.P., Lim, J.H., Leong, M.K.: Object Identification and Retrieval from Efficient Image Matching: Snap2Tell with the STOIC dataset. Information Processing and Management 43(2), 515–530 (2007)
Souissi, A., Tabout, H., Sbihi, A.: MIR System for Mobile Information Retrieval by Image Querying. IJCSNS International Journal of Computer Science and Network Security 8(4) (2008)
Amlacher, K., Luley, P., Fritz, G., Almer, A., Paletta, L.: Mobile Object Recognition Using Multi-Sensor Information Fusion in Urban Environments. In: IEEE Int. Conf. on Image Processing, ICIP 2008, San Diego, CA (2008)
Zhang, W., Kosecka, J.: Localization Based on Building Recognition. In: Proc. of the 2005 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, CVPR (2005)
Lowe, D.: Distinctive Image Features from Scale-Invariant Key-Points. Int. Journal of Computer Vision 60(2), 91–110 (2004)
Fritz, G., Seifert, C., Paletta, L.: A Mobile Vision System for Urban Object Detection with Informative Local Descriptors. In: Proc. IEEE 4th Int. Conf. on Computer Vision Systems, ICVS, New York (2006)
Torralba, A., Murphy, K.P., Freeman, W.T., Rubin, M.A.: Context-Based Vision System for Place and Object Recognition. In: Proc. of 9th Int. Conf. on Computer Vision (2003)
Zheng, Y.-T., et al.: Tour the World: Building a Web-Scale Landmark Recognition Engine. In: Proc. of ICCV, Miami, Florida, U.S.A. (2009)
Quiao, Y.L., Lu, Z.M.: Spline Wavelets Based Texture Feature for Image Retrieval. Int. Journal of Innovative Computing, Information and Control 2(3) (2006)
Huang, P.W., Dai, S.K.: Image Retrieval by Texture Similarity. Pattern Recognition 36(3), 665–679 (2003)
Do, M.N., Vetterli, M.: Wavelet-Based Texture Retrieval Using Generalized Gaussian Density and Kullback-Leibler Distance. IEEE Transactions on Image Processing 11(2) (2002)
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Minetti, I., Dellepiane, S., Valla, M. (2010). CAPIRE: A Context-Aware Points of Interest REcognition System Using a CBIR Approach. In: Zeadally, S., Cerqueira, E., Curado, M., Leszczuk, M. (eds) Future Multimedia Networking. FMN 2010. Lecture Notes in Computer Science, vol 6157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13789-1_11
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DOI: https://doi.org/10.1007/978-3-642-13789-1_11
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