Video Fade Detection By Discrete Line Identification

The video segmentation problem can be regarded as a problem of detecting the fundamental video units (shots). Due to different ways of linking two consecutive shots this task turns out to be difficult. In this work, we propose a method to detect a type of gradual transition, the fade, by image segmentation tools instead of using dissimilarity measures or mathematical models. Firstly, the video is transformed into a 2D image considering the histogram information, called visual rhythm by histogram. Afterwards, we apply image processing tools to detect specified patterns in this image. © 2002 IEEE.16210131016Guimarães, S.J.F., Couprie, M., Leite, N.J., Araújo, A.A., A method for cut detection based on visual rhythm (2001) Proc. of the IEEE SIBGRAPI, pp. 297-304. , Brazil. ISBN 0769513301Del Bimbo, A., (1999) Visual Information Retrieval, , Morgan KaufmannZabih, R., Miller, J., Mai, K., Feature-based algorithms for detecting and classifying scene breaks (1995) ACM ICMCS, , USA, NovFernando, W.A.C., Canagarajah, C.N., Bull, D.R., Fade and dissolve detection in uncompressed and compressed video sequences (1999) Proc. of the IEEE ICIP, pp. 299-303Lienhart, R., Comparison of automatic shot boundary detection algorithms (1999) SPIE Image and Video Processing VII, 3656, pp. 290-301. , JanTonomura, Y., Akutsu, A., Otsuji, K., Sadakata, T., Videomap and videospaceicon: Tools for anatomizing video content (1993) ACM Interchi, pp. 131-136Chung, M.G., Lee, J., Kim, H., Song, S.M.-H., Kim, W.M., Automatic video segmentation based on spatio-temporal features (1999) Korea Telecom Journal, 4 (1), pp. 4-14Ngo, C.W., Pong, T.C., Chin, R.T., Detection of gradual transitions through temporal slice analysis (1999) Proc. of the IEEE CVPR, pp. 36-41Kong, T.Y., Rosenfeld, A., Digital topology: Introduction and survey (1989) CVGIP, 48, pp. 357-393Dunham, J.G., Optimum uniform piecewise linear aproximation of planar curves (1986) IEEE Trans. on PAMI, 8 (1), pp. 67-7