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Interactive Exploration of Image Collections on Mobile Devices

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Active Media Technology (AMT 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7669))

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Abstract

Image collections are ever growing and hence visual information is becoming more and more important. Moreover, the classical paradigm of taking pictures has changed, first with the spread of digital cameras and, more recently, with mobile devices equipped with integrated cameras. Clearly, these image repositories need to be managed, and tools for effectively and efficiently searching image databases are highly sought after, especially on mobile devices where more and more images are being stored. In this paper, we present an image browsing system for interactive exploration of image collections on mobile devices. Images are arranged so that visually similar images are grouped together while large image repositories become accessible through a hierarchical, browsable tree structure, arranged on a hexagonal lattice. The developed system provides an intuitive and fast interface for navigating through image databases using a variety of touch gestures.

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References

  1. Rodden, K., Wood, K.: How do people manage their digital photographs? In: SIGCHI Conference on Human Factors in Computing Systems, pp. 409–416 (2003)

    Google Scholar 

  2. Heesch, D.: A survey of browsing models for content based image retrieval. Multimedia Tools and Applications 40, 261–284 (2008)

    Article  Google Scholar 

  3. Plant, W., Schaefer, G.: Visualisation and Browsing of Image Databases. In: Lin, W., Tao, D., Kacprzyk, J., Li, Z., Izquierdo, E., Wang, H. (eds.) Multimedia Analysis, Processing and Communications. SCI, vol. 346, pp. 3–57. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  4. Plant, W., Schaefer, G.: Visualising image databases. In: IEEE Int. Workshop on Multimedia Signal Processing, pp. 1–6 (2009)

    Google Scholar 

  5. Moghaddam, B., Tian, Q., Lesh, N., Shen, C., Huang, T.: Visualization and user-modeling for browsing personal photo libraries. Int. Journal of Computer Vision 56, 109–130 (2004)

    Article  Google Scholar 

  6. Keller, I., Meiers, T., Ellerbrock, T., Sikora, T.: Image browsing with PCA-assisted user-interaction. In: IEEE Workshop on Content-Based Access of Image and Video Libraries, pp. 102–108 (2001)

    Google Scholar 

  7. Rubner, Y., Guibas, L., Tomasi, C.: The earth mover’s distance, multi-dimensional scaling, and color-based image retrieval. In: Image Understanding Workshop, pp. 661–668 (1997)

    Google Scholar 

  8. Nguyen, G., Worring, M.: Interactive access to large image collections using similarity-based visualization. Journal of Visual Languages and Computing 19, 203–224 (2008)

    Article  Google Scholar 

  9. Krischnamachari, S., Abdel-Mottaleb, M.: Image browsing using hierarchical clustering. In: IEEE Symposium on Computers and Communications, pp. 301–307 (1999)

    Google Scholar 

  10. Chen, J., Bouman, C., Dalton, J.: Hierarchical browsing and search of large image databases. IEEE Trans. Image Processing 9, 442–455 (2000)

    Article  Google Scholar 

  11. Bartolini, I., Ciaccia, P., Patella, M.: Adaptively browsing image databases with PIBE. Multimedia Tools and Applications 31, 269–286 (2006)

    Article  Google Scholar 

  12. Gomi, A., Miyazaki, R., Itoh, T., Li, J.: CAT: A hierarchical image browser using a rectangle packing technique. In: 12th Int. Conference on Information Visualization, pp. 82–87 (2008)

    Google Scholar 

  13. Schaefer, G., Ruszala, S.: Image Database Navigation on a Hierarchical MDS Grid. In: Franke, K., Müller, K.-R., Nickolay, B., Schäfer, R. (eds.) DAGM 2006. LNCS, vol. 4174, pp. 304–313. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  14. Schaefer, G.: A next generation browsing environment for large image repositories. Multimedia Tools and Applications 47, 105–120 (2010)

    Article  Google Scholar 

  15. Chen, C., Gagaudakis, G., Rosin, P.: Similarity-based image browsing. In: Int. Conference on Intelligent Information Processing, pp. 206–213 (2000)

    Google Scholar 

  16. Heesch, D., Rüger, S.: NNk networks for content-based image retrieval. In: European Conference on Information Retrieval, pp. 253–266 (2004)

    Google Scholar 

  17. Dontcheva, M., Agrawala, M., Cohen, M.: Metadata visualization for image browsing. In: 18th Annual ACM Symposium on User Interface Software and Technology (2005)

    Google Scholar 

  18. Worring, M., de Rooij, O., van Rijn, T.: Browsing visual collections using graphs. In: Int. Workshop on Multimedia Information Retrieval, pp. 307–312 (2007)

    Google Scholar 

  19. Plant, W., Schaefer, G.: Navigation and browsing of image databases. In: Int. Conference on Soft Computing and Pattern Recognition, pp. 750–755 (2009)

    Google Scholar 

  20. Rodden, K.: Evaluating Similarity-Based Visualisations as Interfaces for Image Browsing. PhD thesis, University of Cambridge Computer Laboratory (2001)

    Google Scholar 

  21. Sangwine, J., Horne, R.: The Colour Image Processing Handbook. Chapman & Hall (1998)

    Google Scholar 

  22. Plant, W., Schaefer, G.: Image retrieval on the honeycomb image browser. In: 17th IEEE Int. Conference on Image Processing, pp. 3161–3164 (2010)

    Google Scholar 

  23. Sheridan, P., Hintz, T., Alexander, D.: Pseudo-invariant image transformations on a hexagonal lattice. Image and Vision Computing 18, 907–917 (2000)

    Article  Google Scholar 

  24. Schaefer, G., Stich, M.: UCID - An Uncompressed Colour Image Database. In: Storage and Retrieval Methods and Applications for Multimedia 2004. Proceedings of SPIE, vol. 5307, pp. 472–480 (2004)

    Google Scholar 

  25. Plant, W., Schaefer, G.: Evaluation and benchmarking of image database navigation tools. In: Int. Conference on Image Processing, Computer Vision, and Pattern Recognition, vol. 1, pp. 248–254 (2009)

    Google Scholar 

  26. Moving Picture Experts Group: Description of core experiments for MPEG-7 color/texture descriptors. Technical Report ISO/IEC JTC1/SC29/WG11/N2929 (1999)

    Google Scholar 

  27. Barthel, K.: Automatic image sorting using MPEG-7 descriptors. In: Workshop on Immersive Communication and Broadcast Systems (2005)

    Google Scholar 

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Schaefer, G., Tallyn, M., Felton, D., Edmundson, D., Plant, W. (2012). Interactive Exploration of Image Collections on Mobile Devices. In: Huang, R., Ghorbani, A.A., Pasi, G., Yamaguchi, T., Yen, N.Y., Jin, B. (eds) Active Media Technology. AMT 2012. Lecture Notes in Computer Science, vol 7669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35236-2_29

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  • DOI: https://doi.org/10.1007/978-3-642-35236-2_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35235-5

  • Online ISBN: 978-3-642-35236-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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