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Multimedia Content Analysis: The Next Wave

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Image and Video Retrieval (CIVR 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2728))

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Abstract

We have witnessed a decade of exploding research interest in multimedia content analysis. The goal of content analysis has been to derive automatic methods for high-level description and annotation. In this paper we will summarize the main research topics in this area and state some assumptions that we have been using all along. We will also postulate the main future trends including usage of long term memory, context, dynamic processing, evolvable generalized detectors and user aspects.

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References

  1. Lalitha Agnihotri and Nevenka Dimitrova, Text Detection in Video Segments, IEEE Workshop on Content Based Access to Image and Video Libraries, June 1999.

    Google Scholar 

  2. Lalitha Agnihotri, Kavitha Devara, Thomas McGee, and Nevenka Dimitrova, “Summarization of Video Programs Based on Closed Captioning”, SPIE Conf. on Storage and Retrieval in Media Databases, San Jose, CA, January 2001, pp. 599–607.

    Google Scholar 

  3. Aigrain P., Zhang H.J., Petkovic D., “Content-based Representation and Retrieval of Visual Media: A State-of-the-Art Review”, International Journal of Multimedia Tools and Applications, Kluwer Academic Publishers, Vol.3, No.3, 1996.

    Google Scholar 

  4. A. Klein, Everything you wanted to know about “Memento”, Salon.com, 6/28/2001. http://archive.salon.com/ent/movies/feature/2001/06/28/memento_analysis/index.html

    Google Scholar 

  5. A. Aner and J. R. Kender, “Video Summaries through Mosaic-Based Shot and Scene Clustering”, In Proc. European Conf. on Computer Vision, Denmark, May 2002.

    Google Scholar 

  6. Shih-Fu Chang, What is the Holy Grail of Content-Based Media Analysis?, IEEE Multimedia, Spring 2002.

    Google Scholar 

  7. S. Dagtas, T. McGee, and M. Abdel-Mottaleb, “Smart Watch: An automated video event finder”, ACM Multimedia’2000, LA California, October 2000.

    Google Scholar 

  8. Dimitrova N., Sethi I., Rui Y., “Media Content Management”, in Design and Management of Multimedia Information Systems: Opportunities and Challenges, edited by Mahbubur Rahman Syed, Idea Publishing Group, 2000.

    Google Scholar 

  9. Dimitrova, N., Agnihotri, L., and Jainschi, R., Temporal Video Boundaries, in Video Mining, A. Rosenfeld, D. Doermann, D. Dementhon eds., Kluwer, 2003, pp. 63–92.

    Google Scholar 

  10. N. Dimitrova, L. Agnihotri, and G. Wei, Video Classification based on HMM using Text and Faces, EUSIPCO 2000.

    Google Scholar 

  11. N. Haas, R. Bolle, N. Dimitrova, A. Janevski, and J. Zimmerman, Personalized News Through Content Augmentation and Profiling, IEEE ICIP, September 22–25, 2002.

    Google Scholar 

  12. R.S. Jasinschi, N. Dimitrova, T. McGee, L. Agnihotri, J. Zimmerman, D. Li, “Integrated Multimedia Processing for Topic Segmentation and Classification”, In the Proceedings of IEEE Intl. Conf. on Image Processing (ICIP), Greece, 2001.

    Google Scholar 

  13. Yu-Fei Ma; Lie Lu; Hong-Jiang Zhang; Mingjing Li, “A User Attention Model for Video Summarization,” ACM Multimedia 2002, Juan Les Pin, December 1–5, 2002.

    Google Scholar 

  14. M. Petkovic, V. Mihajlovic, W. Jonker, “Multi-Modal Extraction of Highlights from TV Formula 1 Programs”, IEEE Conf. on Multimedia and Expo, Lausanne, 2002.

    Google Scholar 

  15. Smeulders A.W.M., Worring M., Santini S., Gupta A., and Jain R. Content-Based Image Retrieval at the End of the Early Years. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(12):1349–1380, December 2000.

    Article  Google Scholar 

  16. J. R. Smith, C-Y. Lin, M. Naphade, A. Natsev and B Tseng, Statistical Techniques for Video Analysis and Searching, in Video Mining, A. Rosenfeld, D. Doermann, D. Dementhon eds., Kluwer Academic Publishers, 2003, 259–284.

    Google Scholar 

  17. H. Sundaram; L. Xie; S-F Chang, A Utility Framework for the Automatic Generation of Audio-Visual Skims, ACM Multimedia 2002, Juan Les Pin, December 1–5, 2002.

    Google Scholar 

  18. S. Uchihashi, J. Foote, A. Girgensohn and J. Boreczky, Video Manga: Generating semantically meaningful video summaries, ACM Multimedia 1999, pp 383–392.

    Google Scholar 

  19. L. Xie, S-F Chang, A. Divakaran, H. Sun, Mining Statistical Video Structures, Video Mining, A. Rosenfeld, D. Doermann, D. Dementhon eds, Kluwer 2003, 285–324.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Philips Research, 345 Scarborough Rd., Briarcliff Manor, NY, 10510, USA

    Nevenka Dimitrova

Authors
  1. Nevenka Dimitrova
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Editor information

Editors and Affiliations

  1. LIACS Media Lab, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands

    Erwin M. Bakker  & Michael S. Lew  & 

  2. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL, 61801, USA

    Thomas S. Huang

  3. University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands

    Nicu Sebe

  4. Siemens Corporate Research, 755 College Road East, Princeton, NJ, 08540, USA

    Xiang Sean Zhou

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© 2003 Springer-Verlag Berlin Heidelberg

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Dimitrova, N. (2003). Multimedia Content Analysis: The Next Wave. In: Bakker, E.M., Lew, M.S., Huang, T.S., Sebe, N., Zhou, X.S. (eds) Image and Video Retrieval. CIVR 2003. Lecture Notes in Computer Science, vol 2728. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45113-7_2

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  • DOI: https://doi.org/10.1007/3-540-45113-7_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40634-1

  • Online ISBN: 978-3-540-45113-6

  • eBook Packages: Springer Book Archive

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