Abstract
In this work new approaches are proposed to the extension to color-space of different shot change detection methods. These techniques are those ones that use the dissimilarity based on edges, in particular on space and frequency domains. They were previously defined to deal with grayscale videos, so the methods are redesigned to provide the best possible results in color-space videos. Moreover, some improvements are performed to obtain better results, as the use of an adaptative threshold instead of the fixed one previously used. Some experiments are presented to show the better behaviour of the new developed approaches.
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References
Nagasaka, A., Tanaka, Y.: Automatic video indexing and full-video search for object appearances. In: Visual Database Systems, IFIP Working Conference, October 1991, pp. 113–127 (1991)
Kasturi, R., Strayer, S.H., Gargi, U.: An evaluation of color histogram based methods in video indexing. In: International workshop on image databases and multimedia search, Amsterdam, The Netherlands, August 1996, vol. 9 (1996)
Zabih, R., Miller, J., Mai, K.: A feature-based algorithm for detecting and classifying production effects. IEEE Trans. on Pattern Analysis and Machine Intelligence 7(2), 119–128 (1999)
Ardebilian, M., Tu, X., Chen, L.: Robust 3d clue-based video segmentation for video indexing. J. of visual communication and Image Representation 11(1), 58–79 (2000)
Porter, S.V., Mirmehdi, M., Thomas, B.T.: Detection and classification of shot transitions (2000)
Canny, J.: A computational approach to edge-detection 8(6), 679–698 (1986)
Theo, G., Arnold, S.: Color-based object recognition. Pattern Recognition Journal 32, 453–464 (1999)
Kobla, V., DeMenthon, D., Doermann, D. (eds.): Special effect edit detction using VideoTrails: a comparison with existing techniques. SPIE Conference on Storage and Retrieval for Image and Video Databases VII (1999)
Trec video retrieval evaluation, http://www-nlpir.nist.gov/projects/trecvid
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Ramos, L., Novo, J., Rouco, J., Mosquera, A., Penedo, M.G. (2010). Color Video Segmentation by Dissimilarity Based on Edges. In: Corchado, E., Graña Romay, M., Manhaes Savio, A. (eds) Hybrid Artificial Intelligence Systems. HAIS 2010. Lecture Notes in Computer Science(), vol 6077. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13803-4_33
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DOI: https://doi.org/10.1007/978-3-642-13803-4_33
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