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CANDELA – Storage, Analysis and Retrieval of Video Content in Distributed Systems

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Adaptive Multimedia Retrieval: User, Context, and Feedback (AMR 2005)

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Abstract

Although many different types of technologies for information systems have evolved over the last decades (such as databases, video systems, the Internet and mobile telecommunication), the integration of these technologies is just in its infancy and has the potential to introduce ”intelligent” systems. The CANDELA project, which is part of the European ITEA program, focuses on the integration of video content analysis in combination with networked delivery and storage technologies. To unleash the full potential of such integration, adaptive video-content analysis and retrieval techniques are being explored by developing several pilot applications.

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References

  1. Petkovic, M., Jonker, W.: Content-Based Video Retrieval, A Database Perspective. In: Multimedia Systems and Applications, vol. 25. Springer, Heidelberg (2003)

    Google Scholar 

  2. http://www.solidtech.com/library/AutonomicDataManagement.pdf

  3. van Gelder, R.E., et al.: Computed tomographic colonography compared with colonoscopy in patients at increased risk for colorectal cancer. Gastroenterology 27(1), 41–48 (2004)

    Article  Google Scholar 

  4. Medved, M., et al.: Segmentation and segment connection of obstructed colon. In: Proc. of the SPIE - Medical Imaging 2004, February 2004, vol. 5370 (2004)

    Google Scholar 

  5. de Vries, A.H., et al.: Feasibility of automatic prone-supine matching in ct-colonography: precision and practical use. In: Proc. of 5th Int. Symp. on Virtual Colonoscopy (October 2004)

    Google Scholar 

  6. Florie, J.: Automatic cleansing for ct colonography using a three material transition model. In: Proc. of 5th Int. Symp. on Virtual Colonoscopy (October 2004)

    Google Scholar 

  7. Nappi, J., Yoshida, H.: Feature-guided analysis for reduction of false positives in cad of polyps for computed tomographic colonography. Med. Phys. 30(7), 1592–1601 (2003)

    Article  Google Scholar 

  8. Jerebko, A.K., et al.: Computer-assisted detection of colonic polyps with ct colonography using neural networks and binary classification trees. Med. Phys. 30(1), 52–60 (2003)

    Article  Google Scholar 

  9. Gokturk, S.B., et al.: A statistical 3-d pattern processing method for computer-aided detection of polyps in ct colonography. IEEE Trans. Med. Imaging 20(12), 1251–1260 (2001)

    Article  Google Scholar 

  10. Merkus, P., et al.: Candela - integrated storage, analysis and distribution og video content for intelligent information system. In: Proc. of the Euro. Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies, EWIMT, November 2004, pp. 25–26 (2004)

    Google Scholar 

  11. Desurmont, X., et al.: Image analysis architectures and techniques for intelligent surveillance systems. In: IEE Proc. - Vision, Image and Signal Processing (2005)

    Google Scholar 

  12. Desurmont, X., et al.: Performance evaluation of real-time video content analysis systems in the candela project. In: Proc. of the SPIE - Real-Time Imaging IX (January 2005)

    Google Scholar 

  13. Shim, C.B., Chang, J.W.: Spatiotemporal compression techniques for moving point objects. In: Bertino, E., Christodoulakis, S., Plexousakis, D., Christophides, V., Koubarakis, M., Böhm, K., Ferrari, E. (eds.) EDBT 2004. LNCS, vol. 2992, pp. 765–782. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  14. Keogh, E.J., Pazzani, M.J.: A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases. In: PADKK 2000: Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications, pp. 122–133. Springer, Heidelberg (2000)

    Google Scholar 

  15. Deng, S., Yang, Y., Wang, X.: A calibration method using only one plane for 3d machine vision. In: 16th International Symposium on Electronic Imaging, Storage and Retrieval Methods and Applications for Multimedia, SPIE 2004 (January 2004)

    Google Scholar 

  16. Renno, J.R., Orwell, J., Jones, G.A.: Learning surveillance tracking models for the self-calibrated ground plane. In: The 13th British Machine Vision Conference, September 2002, pp. 607–616 (2002)

    Google Scholar 

  17. Nesvadba, J., et al.: Face related features in consumer electronic (ce) device environments. In: Proc. IEEE Int. Conf. on Systems, Man, and Cybernetics, October 2004, pp. 641–648 (2004)

    Google Scholar 

  18. Nesvadba, J., et al.: Comparison of shot boundary detectors. In: Int. Conf. for Multimedia and Expo., ICME (June 2005) (submitted for publication)

    Google Scholar 

  19. Nesvadba, J., et al.: Low-level cross-media statistical approach for semantic partitioning of audio-visual content in a home multimedia environment. In: Proc. IEEE Int. Workshop on Systems, Signals and Image Processing, September 2004, pp. 235–238 (2004)

    Google Scholar 

  20. European ITEA program, Candela Deliverable D1.1B, State-of-the-art Report, Appendix: AV corpus (March 2004), www.extra.research.philips.com/euprojects/candela/deliverables/candelawp1-d1-signoff.pdf

  21. de Lange, F., Nesvadb, J.: A Hardware/Software Framework for the Rapid Prototyping of Multimedia Analysis Systems. In: Proc. of the Workshop of Image Analysis for Multimedia Interactive Systems (April 2005) (submitted for publication)

    Google Scholar 

  22. Yanagisawa, Y., Akahani, J., Satoh, T.: Shape-based similarity query for trajectory of mobile objects. In: Chen, M.-S., Chrysanthis, P.K., Sloman, M., Zaslavsky, A. (eds.) MDM 2003. LNCS, vol. 2574, pp. 63–77. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  23. Satoh, S., Aizawa, K., Nakamura, Y.: Sketchit: Basketball video retrieval using ball motion similarity. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds.) PCM 2004. LNCS, vol. 3332, pp. 256–263. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  24. Manolopoulos, Y., et al.: R-trees have grown everywhere (2003)

    Google Scholar 

  25. Kothuri, R.K.V., Ravada, S., Abugov, D.: Quadtree and r-tree indexes in oracle spatial: a comparison using gis data. In: SIGMOD 2002: Proceedings of the 2002 ACM SIGMOD international conference on Management of data, pp. 546–557. ACM Press, New York (2002)

    Google Scholar 

  26. Ilyas, I.F., Aref, W.G., Elmagarmid, A.K.: Joining ranked inputs in practice. In: VLDB, pp. 950–961 (2002)

    Google Scholar 

  27. Fensel, D., Brodie, M.L.: Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce. Springer, Heidelberg (2001)

    Book  MATH  Google Scholar 

  28. Sachinopoulou, A., et al.: Personal video retrieval and browsing for mobile users. In: Proc. of the SPIE - Multimedia on Mobile Devices (January 2005)

    Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Jaspers, E. et al. (2006). CANDELA – Storage, Analysis and Retrieval of Video Content in Distributed Systems. In: Detyniecki, M., Jose, J.M., Nürnberger, A., van Rijsbergen, C.J. (eds) Adaptive Multimedia Retrieval: User, Context, and Feedback. AMR 2005. Lecture Notes in Computer Science, vol 3877. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11670834_10

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  • DOI: https://doi.org/10.1007/11670834_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32174-3

  • Online ISBN: 978-3-540-32175-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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