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dc.typeArtigo de periódicopt_BR
dc.titleVideo Segementation Based On 2d Image Analysispt_BR
dc.contributor.authorGuimaraes S.J.F.pt_BR
dc.contributor.authorCouprie M.Michelpt_BR
dc.contributor.authorde Albuquerque Araujo A.pt_BR
dc.contributor.authorLeite N.J.pt_BR
unicamp.authorLeite, N.J., IC/UNICAMP, Campinas, SP 13083-970, Brazilpt_BR, S.J.F., NPDI/DCC/UMFG, Belo Horizonte, MG 30161-970, Brazil, ASI/ESIEE-Cite Descartes, Noisy le Grand 93162, Francept, M.Michel, ASI/ESIEE-Cite Descartes, Noisy le Grand 93162, Francept Albuquerque Araújo, A., NPDI/DCC/UMFG, Belo Horizonte, MG 30161-970, Brazilpt
dc.description.abstractThe video segmentation problem consists in the identification of the boundary between consecutive shots. The common approach to solve this problem is based on dissimilarity measures between frames. In this work, the video segmentation problem is transformed into a problem of pattern detection, where each video event is transformed into a different pattern on a 2D image, called visual rhythm, obtained by a specific transformation. In our analysis we use topological and morphological tools to detect cuts. Also, we use discrete line analysis and max tree analysis to detect fade transitions and flashes, respectively. We present a comparative analysis of our method for cut detection with respect to some other methods, which shows the better results of our method. © 2002 Elsevier Science B.V. All rights reserved.en
dc.relation.ispartofPattern Recognition Letterspt_BR
dc.identifier.citationPattern Recognition Letters. , v. 24, n. 7, p. 947 - 957, 2003.pt_BR
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dc.description.provenanceMade available in DSpace on 2015-11-26T15:00:24Z (GMT). No. of bitstreams: 2 2-s2.0-0346036003.pdf: 397701 bytes, checksum: 44509f28f770a28e63f20c20adf473e7 (MD5) 2-s2.0-0346036003.pdf.txt: 34976 bytes, checksum: d9fd051afcb77819eb55707253a08e17 (MD5) Previous issue date: 2003en
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