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References
1. Horn, B.K.P., Schunk, B.G.: Determining optical flow. Artificial Intelligence 17,
185-201 (1981)
2. Chan, T., Vese, L.: An active contour model without edges. In: Nielsen, M.,
Johansen, P., Fogh Olsen, O., Weickert, J. (eds.) Scale-Space 1999. LNCS, vol. 1682,
p. 141. Springer, Heidelberg (1999)
3. van Liempt, M., Koelma, D.C., et al.: The mediamill trecvid 2006 semantic video
search engine. In: Proceedings of the 4th TRECVID Workshop, Gaithersburg, USA
(November 2006)
4. Daubechies, I.: CBMS-NSF series in app. Math., In: SIAM (1991)
5. Ellouze, M., Karray, H., Alimi, M.A.: Genetic algorithm for summarizing news
stories. In: Proceedings of International Conference on Computer Vision Theory
and Applications, Spain, Barcelona, pp. 303-308 (March 2006)
6. Wali, A., Karray, H., Alimi, M.A.: Sirpvct: System of indexing and the search for
video plans by the contents text. In: Proc. Treatment and Analyzes information:
Methods and Applications, TAIMA 2007, Tunisia, Hammamet, pp. 291-297 (May
2007)
7. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International
Journal of Computer Vision 2(60), 91-110 (2004)
8. Ben Aoun, N., El'Arbi, M., Ben Amar, C.: Multiresolution motion estimation and
compensation for video coding. In: 10th IEEE International Conference on Signal
Processing, Beijing, China (October 2010)
9. Boujemaaa, N., Ferecatu, M., Gouet, V.: Approximate search vs. precise search by
visual content in cultural heritage image databases. In: Proc. of the 4-th Interna-
tional Workshop on Multimedia Information Retrieval (MIR 2002) in conjunction
with ACM Multimedia (2002)
10. Karray, H., Ellouze, M., Alimi, M.A.: Using text transcriptions for summarizing
arabic news video. In: Proc. Information and Communication Technologies Inter-
national Symposuim, ICTIS 2007, Morocco, Fes, pp. 324-328 (April 2007)
11. Macan, T., Loncaric, S.: Hybrid optical flow and segmentation technique for lv
motion detection. In: Proceedings of SPIE Medical Imaging, San Diego, USA, pp.
475-482 (2001)
12. Shawe-Taylor, J., Cristianini, N.: An Introduction to Support Vector Machines and
Other Kernel-based Learning Methods. Cambridge University Press, Cambridge
(2000)
13. Zeki, E., Robi, P., et al.: Ensemble of svms for incremental learning. In: Oza, N.C.,
Polikar, R., Kittler, J., Roli, F. (eds.) MCS 2005. LNCS, vol. 3541, pp. 246-256.
Springer, Heidelberg (2005)
14. Polikar, R., Udpa, L., Udpa, S.S., Honavar, V.: Learn++: An incremental learn-
ing algorithm for supervised neural networks. IEEE Trans. Sys. Man, Cybernetics
(C) 31(4), 497-508 (2001)
15. Vapnik, V.: Statistical Learning Theory (1998)
16. Wali, A., Alimi, A.M.: Event detection from video surveillance data based on op-
tical flow histogram and high-level feature extraction. In: IEEE DEXA Workshops
2009, pp. 221-225 (2009)
17. Chang, S., Jiang, W., Yanagawa, A., Zavesky, E.: Colombia university trecvid2007:
High-level feature extraction. In: Proceedings TREC Video Retrieval Evaluation
Online, TRECVID 2007 (2007)
 
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