ITEMS: intelligent travel experience management system

ABSTRACT

An intelligent travel experience management system, abbreviated as ITEMS, is proposed to help tourists organize and present the digital travel contents in an automatic and efficient manner. Readily available metadata are adopted to reduce the overhead of user intervention and manual annotation. Robust image similarity metrics are also incorporated to utilize the powerful searching capability of WWW search engines. The proposed system automatically identifies the inherent geo-information of personal media, and accordingly integrates media with map and text-based schedule to facilitate travel experience management and presentation. We show several prototype systems in two application scenarios and demonstrate the effectiveness of the proposed methodology.

References

1. Flickr, http://www.flickr.com
2. Picasa, http://picasa.google.com/
3. Yeh, T., Tollmar, K., and Darrell, T. Searching the web with mobile images for location recognition. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, 2004, 76--81.
4. Wang, C., Jing, F., Zhang, L., and Zhang, H.-J. Scalable search-based image annotation of personal images. In Proceedings of ACM SIGMM International Workshop on Multimedia Information Retrieval, 2006, 269--277.
5. Wang, X.-J., Zhang, L., Jing, F., and Ma, W.-Y. AnnoSearch: image auto-annotation by search. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, 2006, 1483--1490.
6. Platt, J.C., Czerwinski, M., Field, B.A. PhotoTOC: automating clustering for browsing personal photographs. In Proceedings of IEEE Pacific Rim Conference on Multimedia, pp. 6--10, 2003.
7. Cheng, P.-J., and Chien, L.-F. Effective image annotation for searches using multilevel semantics. International Journal of Digital Library, vol. 4, 2004, 258--271.
8. Joshi, D., Wang, J.Z., and Li, J. The story picturing engine--a system for automatic text illustration. ACM Transactions on Multimedia Computing, Communications and Applications, vol. 2, no. 1, 2006, 68--89.
9. Lowe, D. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, vol. 20, 2003, 91--110.
10. GeoNames, http://www.geonames.org/
11. Toyama, K., Logan, R., Roseway, A., Anandan, P. Geographic location tags on digital images. In Proceedings of ACM Multimedia, 2003, 156--166.
12. Ahern, S., Naaman, M., Nair, R., Yang, J. World explorer: visualizing aggregate data from unstructured text in geo-referenced collections. In Proceedings of International Conference on Digital Libraries, 2007, 1--10.
13. Snavely, N., Seitz, S.M., and Szeliski, R. Photo tourism: exploring photo collections in 3D. ACM Transactions on Graphics, vol. 25, no. 3, 2006, 835--846.
14. Cemerlang, P., Lim, J.-H., You, Y., Zhang, J., and Chevallet, J.-P. Towards automatic mobile blogging. In Proceedings of IEEE International Conference on Multimedia and Expo, 2006, 2033--2036.
15. Chen, J.-C., Chu, W.-T., Kuo, J.-H., Weng, C.-Y., and Wu, J.-L. Tiling slideshow. In Proceedings of ACM Multimedia Conference, 2006, 25--34.
16. SIFT++: A lightweight C++ implementation of SIFT, http://vision.ucla.edu/~vedaldi/code/siftpp/siftpp.html

Index Terms

• Human-centered computing

  • Collaborative and social computing

    • Collaborative and social computing systems and tools

      • Synchronous editors

• Information systems

  • Information retrieval

    • Retrieval models and ranking

  • Information systems applications

    • Collaborative and social computing systems and tools

      • Synchronous editors