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Designing for Semantic Access: A Video Browsing System

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Abstract

Users of browsing applications often have vague information needs which can only be described in conceptual terms. Therefore, a video browsing system must accept conceptual queries for preselection and offer mechanisms for interactive inspection of the result set by the user. In this paper, we describe a MM-DBMS that we extended with the following components: Our retrieval engine calculates relevance values for the results of a conceptual query by feature aggregation on video shot granularity to offer conceptual, content-based access. To reduce startup delays within sessions, our admission control module admits only complete browsing sessions, if required resources, which are heuristically predicted from query results, are available. In addition, our intelligent client buffer strategy employs the retrieval relevance values to enable flexible user interactions during browsing.

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References

  1. K. Aberer and S. Hollfelder, “Resource prediction and admission control for interactive video browsing scenarios using application semantics,” in Proc. of Int. Conf. on Data Semantics-8 (DS-8), Semantic Issues in Multimedia Systems, IFIP TC-2 Working Conference, Jan. 1999, pp. 27-46.

  2. J. Bortz, Statistik f¨ur Sozialwissenschaftler (in German), Springer, 1989.

  3. M. Caliani, C. Colombo, A. Del Bimbo, and P. Pala, “Computer analysis of TV spots: The semiotics perspective,” IEEE Multimedia Systems, pp. 170-179, 1998.

  4. Shih-Fu Chang, W. Chen, H. Meng, H. Sundaram, and Di Zhong, “VideoQ: An automated content-based video search system using visual cues,” Proc. of ACM Multimedia Conference, Nov. 1997, Seattle, WA, pp. 313-324.

  5. C. Colombo, A. Del Bimbo, and I. Genovesi, “Interactive image retrieval by color distributions,” in Proc. of 5th IEEE Int. Conf. on Multimedia Computing System (I CMCS '98), Austin, TX, June-July 1998, pp. 255-258.

  6. M. Friedrich, S. Hollfelder, and K. Aberer, “Stochastic resource prediction and admission for interactive sessions on multimedia servers,” GMD Technical Report 50, GMD, Sankt Augustin, Germany, March, 1999.

  7. W.I. Grosky, and Yi Tao, “Multimedia data mining and its implication for query processing,” in Proc. of Int. Workshop on Database and Expert Systems (DEXA), R.R. Wagner (Ed.), Aug. 1998, pp. 95-100.

  8. T. Helbig and O. Schreyer, “Protocol for browsing in continuous data for cooperative multi-server and multiclient applications,” in Proc. of Int. Workshop on Interactive Distributed Multimedia Systems and Telecommunication Services (IDMS), T. Plagemann and V. Goebel (Eds.), Springer LNCS, Sept. 1998, pp. 231-236.

  9. S. Hollfelder and K. Aberer, “Resource prediction and admission control for interactive multimedia applications,” in Proc. of Int. Workshop on Multimedia Information Systems (MIS), L. Golubchik and V.J. Tsotras (Eds.), Oct. 1999, pp. 115-122.

  10. S. Hollfelder, A. Everts, and U. Thiel, “Designing for semantic access: A video browsing system,” GMD Technical Report 43, GMD, Sankt Augustin, Germany Nov. 1998.

    Google Scholar 

  11. S. Hollfelder, F. Schmidt, M. Hemmje, and K. Aberer, “Transparent integration of continuous media support into a multimedia DBMS,” in Proc. of Int. Conference on Integrated Design and Process Technology (IDPT), Issues and Applications of Database Technology (IADT), T. Özsu, A. Dogac, and O. Ulusoy (Eds.), Vol. 2, July 1998, pp. 192-199.

  12. INFORMIX Press, Video Foundation DataBlade Module User's Guide, Version 1.1, June 1997. Version 1.1.

  13. H. Ishikawa,K.Kubota,Y. Noguchi, K. Kato, M. Ono, N.Yoshizawa, and A. Kanaya, “Adocumentwarehouse: A multimedia database approach,” in Proc. of Int. Workshop on Database and Expert Systems (DEXA), R.R. Wagner (Ed.), Aug. 1998, pp. 90-94.

  14. T.D.C. Little, G. Ahanger, H.-J. Chen, R.J. Folz, J.F. Gibbon, A. Krishnamurthy, P. Lumbda, M. Ramanathan, and D. Venkatesh, “Selection and dissemination of Digital video via the Virtual Video Browser,” Multimedia Tools and Applications, Vol. 1, No. 2, pp. 149–172, 1995.

    Google Scholar 

  15. F. Moser, A. Kraiss, and W. Klas, “L/MRP: A buffer management strategy for interactive continuous data flows in a multimedia DBMS,” in Proc. of Int. Conference on Very Large Data Bases (VLDB), Sept. 1995, pp. 275-286.

  16. A. Müller and A. Everts, “Interactive image retrieval by means of abductive inference”, in Proc. of RIAO-Computer-Assisted Information Searching on Internet, June 1997, pp. 450-466.

  17. D. Ponceleon, S. Srinivasan, A. Amir, and Dragutin Petkovic, “Key to effective video retrieval: Effective cataloging and browsing,” in Proc. of ACM Multimedia, Sept. 1998, pp. 99-107.

  18. N. Reddy, “Improving latency in interactive video server,” in Proc. of SPIE Multimedia Computing and Networking Conference, Feb. 1997, pp. 108-112.

  19. N.C. Rowe and B. Frew, “Automatic classification of objects in captioned depictive photographs for retrieval,” Intelligent Multimedia Retrieval, M.T. Maybury (Ed.), AAAI Press/The MIT Press, 1997, pp. 65-79.

  20. T. Shibata and T. Kato, “Modeling of subjective interpretation for street landscape image,” in Proc. of Int. Conference on Database and Expert Systems (DEXA), G. Quirchmayr, E. Schweighofer, and T.J.M. Bench-Capon (Eds.), Aug. 1998, pp. 95-100.

  21. J.R. Smith and S.-F. Chang, “Searching for images and videos on the World-Wide Web,” Technical Report 459-96-25, Columbia University, Center for Telecommunications Research, New York, Aug. 1996.

  22. C. Taskiran, J.-Y. Chen, C.A. Bouman, and E.J. Delp, “A compressed video database structured for active browsing and search,” in Proc. of IEEE Int. Conference on Image Processing, Oct. 1998.

  23. U. Thiel, S. Hollfelder, and A. Everts, “Multimedia management and query processing issues in distributed digital libraries:AHERMESperspective,” in Proc. of Int.Workshop on Database and Expert Systems (DEXA), R.R. Wagner (Ed.), Aug. 1998, pp. 84-89.

  24. H.C. Tijms, Stochastic Models. An Algorithmic Approach, Wiley, 1994. Wiley Series in Probability and Mathematical Statistics.

  25. H.D.Wactlar, T. Kanade, M.A. Smith, and S.M. Stevens, “Intelligent access to digital video: The imformedia project,” IEEE Computer, Vol. 29, No. 5, pp. 46–52, 1996.

    Google Scholar 

  26. H.J. Zhang, C.Y. Low, S.W. Smoliar, and J.H.Wu, “Video parsing, retrieval and browsing: An integrated and content-based solution,” Proc. of ACM Multimedia, 1995, pp. 15-24.

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Silvia, H., Everts, A. & Thiel, U. Designing for Semantic Access: A Video Browsing System. Multimedia Tools and Applications 11, 281–293 (2000). https://doi.org/10.1023/A:1009658113169

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