Abstract
Because of the ever-increasing needs for video content accessibility, developing automated and effective frameworks for content-oriented video representation have become an active field of research.
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References
Aach, T., Kaup, A., and Mester, R. (1993). Statistical model-based change detection in moving video. Signal Process., 31(2): 165–180.
Alatan, A., Onural, L., Wollborn, M., Mech, R., Tunceland, E., and Sikora, T. (1998). Image sequence(l) analysis for emerging interactive multimedia services - the European COST 211 Framework. IEEE Trans. Circuits Syst Video Technol, 8(7):802–813.
Amer, A. (2001). Object and Event Extraction for Video Processing and Representation in On-Line Video Applications. PhD thesis, INRS-Telecommunications, Univ. du Québec.
Amer, A. and Dubois, E. (2000). Image segmentation by robust binarization and fast morphological edge detection. In Proc. IAPR/CIPPRS Int. Conf. on Vision Interface, pages 357–364, Montreal, Canada.
Amer, A., Mitiche, A., and Dubois, E. (2002). Reliable and fast structure-oriented video noise estimation. In Proc. IEEE Int. Conf. Image Processing, volume 1, pages 840–843, Rochester, USA.
Bobick, A.F. (1997). Movement, activity, and action: the role of knowledge in the perception of motion. Technical Report 413, M.I.T. Media Laboratory.
Bouthemy, P., Gelgon, M., and Ganansia, F. (1997). A unified approach to shot change detection and camera motion characterization. Technical Report 1148, Institut National de Recherche en Informa-tique et en Automatique.
Chang, S.F., Chen, W., Meng, H.J., Sundaram, H., and Zhong, D. (1998). A fully automatic content-based video search engine supporting multi-object spatio-temporal queries. IEEE Trans. Circuits Syst. Video Techn., 8(5):602–615. Special Issue.
Courtney, J. (1997). Automatic video indexing via object motion analysis. Pattern Recognit., 30(4):607–625.
Garrido, L., Salembier, P., and Garcia, D. (1998). Extensive operators in partition lattices for image sequence analysis. Signal Process., 66:157–180.
Haering, N., Qian, R., and Sezan, I. (2000). A semantic event detection approach and its application to detecting hunts in wildlife video. IEEE Trans. Circuits Syst Video Techn., 10(6):857–868.
Haritaoglu, L, Harwood, D., and Davis, L. S. (2000). W 4 : Real-time surveillance of people and their activities. IEEE Trans. Pattern Anal. Machine Intell, 22(8):809–830.
Lippman, A., Vasconcelos, N., and Iyengar, G. (1998). Human interfaces to video. In Proc. 32 nd Asilomar Conf. on Signals, Systems, and Computers, Asilomar, CA. Invited Paper.
Naphade, M., Mehrotra, R., Ferman, A., Warnick, J., Huang, T., and Tekalp, A. (1998). A high performance algorithm for shot boundary detection using multiple cues. In Proc. IEEE Int. Conf. Image Processing, volume 2, pages 884–887, Chicago, IL.
Pentland, A. (2000). Looking at people: Sensing for ubiquitous and wearable computing. IEEE Trans. Pattern Anal. Machine Intell., 22(1):107–119.
Salembier, P., Garrido, L., and Garcia, D. (1997). Image sequence analysis and merging algorithm. In Proc. Int. Workshop on Very Low Bit-rate Video, pages 1–8, Linkoping, Sweden. Invited paper.
Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., and Jain, R. (2000). Content-based image retrieval: the end of the early years. IEEE Trans. Pattern Anal. Machine Intell, 22(12):1349–1380.
Special (2000). Special section on video surveillance. IEEE Trans. Pattern Anal. Machine Intell.
Stringa, E. and Regazzoni, C. (1998). Content-based retrieval and real time detection from video sequences acquired by surveillance systems. In Proc. IEEE Int. Conf. Image Processing, pages 138–142, Chicago, IL.
Vasconcelos, N. and Lippman, A. (1997). Towards semantically meaningful feature spaces for the characterization of video content. In Proc. IEEE Int. Conf. Image Processing, volume 1, pages 25–28, Santa Barbara, CA.
Villegas, P., Marichal, X., and Salcedo, A. (1999). Objective evaluation of segmentation masks in video sequences. In Proc. Workshop on Image Analysis for Multimedia Interactive Services, pages 85–88, Berlin, Germany.
Ziliani, F. and Cavallaro, A. (1999). Image analysis for video surveillance based on spatial regularization of a statistical model-based change detection. In Proc. Int. Conf. on Image Analysis and Processing, pages 1108–1111, Venice, Italy.
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Amer, A. (2003). A Computational Framework for Simultaneous Real-Time High-Level Video Representation. In: Foresti, G.L., Regazzoni, C.S., Varshney, P.K. (eds) Multisensor Surveillance Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0371-2_9
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DOI: https://doi.org/10.1007/978-1-4615-0371-2_9
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