Abstract
In this chapter the authors propose an overview on contemporary artificial intelligence techniques designed for change detection in image and video sequences. A variety of image features have been analyzed for content presentation at a low level. In attempt towards high-level interpretation by a machine, a novel approach to image comparison has been proposed and described in detail. It utilizes techniques of salient point detection, video scene identification, spatial image segmentation, feature extraction and analysis. Metrics implemented for image partition matching enhance performance and quality of the results, which has been proved by several estimations. The review on estimation measures is also given along with references to publicly available test datasets. Conclusion is provided in relation to trends of future development in image and video processing.
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Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Analysis, and Machine Vision, International Student Edition. Thomson, Toronto (2007)
Bezdek, J.C., Keller, J., Krisnapuram, R., Pal, N.R.: Fuzzy Models and Algorithms For Pattern Recognition and Image Processing. Springer, NY (2005)
Haralick, R.M., Shanmugam, K., Dinstein, I.: Textural features for image classification. IEEE Trans. Syst. Man Cybern. 3(6), 610–621 (1973)
Deselaers, T., Weyand, T., Ney, H.: Image retrieval and annotation using maximum entropy. Evaluation of multilingual and multi-modal information retrieval. Lect. Notes Comput. Sci. 4730, 725–734 (2007)
Baker, S., Scharstein, D., Lewis, J.P., Roth, S., Black, M.J., Szeliski, R.: A database and evaluation methodology for optical flow. Int. J. Comput. Vis. 92(1), 1–31 (2011)
Mikhnova, O., Vlasenko, N.: Key frame partition matching for video summarization. Int. J. Inf. Models Anal. 2(2), 145–152 (2013)
Mashtalir, S., Mikhnova, O.: Key frame extraction from video: framework and advances. Int. J. Comput. Vis. Image Process. 4(2), 67–78 (2014)
Mikhnova, O.: A template-based approach to key frame extraction from video. In: Proceedings of International Scientific and Technical Internet Conference on Computer Graphics and Image Recognition, pp. 120–127. VNTU, Vinnytsia (2012)
Yang, X., Tian, Q.: Video repeat recognition and mining by visual features. In: Schonfeld, D., Shan, C., Tao, D., Wang, L. (eds.) Video Search and Mining. Studies in Computational Intelligence, vol. 287, pp. 305–326. Springer, Berlin (2010)
Lee, W.-T., Chen, H.-T.: Histogram-based interest point detectors. Comput. Vis. Pattern Recogn. 1590–1596 (2009)
Ledoux, H., Gold, C.M.: Modelling three-dimensional geoscientific fields with the Voronoi diagram and its dual. Int. J. Geogr. Inf. Sci. 22(5), 547–574 (2008)
Mikhnova, O.D.: Analiz videodannyh na osnove diagramm Voronogo razlichnogo poryadka. Zbirnyk naukovyh prats HUPS 1(38), 142–145 (2014)
Mashtalir, S.V., Mikhnova, O.D.: Stabilization of key frame descriptions with higher order Voronoi diagram. Bionics Intell. 1, 68–72 (2013)
Okabe, A., Boots, B., Sugihara, K., Chiu, S.N.: Spatial Tessellations: Concepts and Applications of Voronoi Diagrams. Wiley, Chichester (2000)
Mashtalir, V., Mikhnova, O., Shlyakhov, V., Yegorova, E.: A novel metric on partitions for image segmentation. In: Proceedings of International conference on Video and Signal Based Surveillance, pp. 1–6. IEEE CS, Washington (2006)
Sadahiro, Y.: Analysis of the relationship among spatial tessellations. J. Geogr. Syst. 13(4), 373–391 (2011)
Manning, C.D., Raghavan, P., Schutze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008)
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Mashtalir, S., Mikhnova, O. (2017). Detecting Significant Changes in Image Sequences. In: Hassanien, A., Mostafa Fouad, M., Manaf, A., Zamani, M., Ahmad, R., Kacprzyk, J. (eds) Multimedia Forensics and Security. Intelligent Systems Reference Library, vol 115. Springer, Cham. https://doi.org/10.1007/978-3-319-44270-9_8
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DOI: https://doi.org/10.1007/978-3-319-44270-9_8
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