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
Lalitha Agnihotri and Nevenka Dimitrova, Text Detection in Video Segments, IEEE Workshop on Content Based Access to Image and Video Libraries, June 1999.
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.
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.
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
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.
Shih-Fu Chang, What is the Holy Grail of Content-Based Media Analysis?, IEEE Multimedia, Spring 2002.
S. Dagtas, T. McGee, and M. Abdel-Mottaleb, “Smart Watch: An automated video event finder”, ACM Multimedia’2000, LA California, October 2000.
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.
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.
N. Dimitrova, L. Agnihotri, and G. Wei, Video Classification based on HMM using Text and Faces, EUSIPCO 2000.
N. Haas, R. Bolle, N. Dimitrova, A. Janevski, and J. Zimmerman, Personalized News Through Content Augmentation and Profiling, IEEE ICIP, September 22–25, 2002.
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.
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.
M. Petkovic, V. Mihajlovic, W. Jonker, “Multi-Modal Extraction of Highlights from TV Formula 1 Programs”, IEEE Conf. on Multimedia and Expo, Lausanne, 2002.
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.
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.
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.
S. Uchihashi, J. Foote, A. Girgensohn and J. Boreczky, Video Manga: Generating semantically meaningful video summaries, ACM Multimedia 1999, pp 383–392.
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.
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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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