Collaborative Browsing and Search in Video Archives with Mobile Clients

  • Claudiu Cobârzan
  • Manfred Del Fabro
  • Klaus Schoeffmann
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8936)


A system for collaborative browsing and search within video archives is proposed. It comprises of mobile clients and a back-end server. The server is responsible for inter-client communication as well as for archive partitioning according to the active client’s population. The participating clients employ a GUI designed and optimized for Nexus 7 tablets.


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  1. 1.
    Bouguet, J.-Y.: Pyramidal Implementation of the Affine Lucas Kanade Feature Tracker Description of the Algorithm. Intel Corporation 5, 1–10 (2001)Google Scholar
  2. 2.
    Cobârzan, C., Hudelist, M.A., Del Fabro, M.: Content-Based Video Browsing with Collaborating Mobile Clients. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N. (eds.) MMM 2014, Part II. LNCS, vol. 8326, pp. 402–406. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  3. 3.
    Del Fabro, M., Münzer, B., Böszörmenyi, L.: Smart Video Browsing with Augmented Navigation Bars. In: Li, S., et al. (eds.) MMM 2013, Part II. LNCS, vol. 7733, pp. 88–98. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  4. 4.
    Kasutani, E., Yamada, A.: The MPEG-7 color layout descriptor: a compact image feature description for high-speed image/video segment retrieval. In: Proceedings of 2001 International Conference on Image Processing. IEEE, Thessaloniki (2001)Google Scholar
  5. 5.
    Schoeffmann, K., Lux, M., Taschwer, M., Böszörmenyi, L.: Visualization of Video Motion in Context of Video Browsing. In: Proceedings of the IEEE International Conference on Multimedia and Expo (ICME). IEEE, New York (2009)Google Scholar
  6. 6.
    Smeaton, A.F., Over, P., Doherty, A.R.: Video shot boundary detection: Seven years of TRECVid activity. In: Computer Vision and Image Understanding, vol. 114 (2010)Google Scholar
  7. 7.
    Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Kauai (2001)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Claudiu Cobârzan
    • 1
  • Manfred Del Fabro
    • 1
  • Klaus Schoeffmann
    • 1
  1. 1.Alpen-Adria-Universität KlagenfurtKlagenfurtAustria

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