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Video scene detection using graph-based representations / Ufuk Sakarya in Signal processing. Image communication, Vol. 25 N° 10 (Novembre 2010) 

Public ISBD [article]  in Signal processing. Image communication > Vol. 25 N° 10 (Novembre 2010) . - pp. 774–783 Titre : Video scene detection using graph-based representations Type de document : texte imprimé Auteurs : Ufuk Sakarya, Auteur ; Ziya Telatar, Auteur Année de publication : 2012 Article en page(s) : pp. 774–783 Note générale : Electronique Langues : Anglais (eng) Mots-clés : Video  scene  detection  Graph-based  representation  Graph  partitioning  Dominant  sets Résumé : One of the fundamental steps in organizing videos is to parse it in smaller descriptive parts. One way of realizing this step is to obtain shot or scene information. One or more consecutive semantically correlated shots sharing the same content construct video scenes. On the other hand, video scenes are different from the shots in the sense of their boundary definitions; video scenes have semantic boundaries and shots are defined with physical boundaries. In this paper, we concentrate on developing a fast, as well as well-performed video scene detection method. Our graph partition based video scene boundary detection approach, in which multiple features extracted from the video, determines the video scene boundaries through an unsupervised clustering procedure. For each video shot to shot comparison feature, a one-dimensional signal is constructed by graph partitions obtained from the similarity matrix in a temporal interval. After each one-dimensional signal is filtered, an unsupervised clustering is conducted for finding video scene boundaries. We adopt two different graph-based approaches in a single framework in order to find video scene boundaries. The proposed graph-based video scene boundary detection method is evaluated and compared with the graph-based video scene detection method presented in literature. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596510001086# [article] Video scene detection using graph-based representations [texte imprimé] / Ufuk Sakarya, Auteur ; Ziya Telatar, Auteur . - 2012 . - pp. 774–783. Electronique Langues : Anglais (eng) in Signal processing. Image communication > Vol. 25 N° 10 (Novembre 2010) . - pp. 774–783 Mots-clés : Video  scene  detection  Graph-based  representation  Graph  partitioning  Dominant  sets Résumé : One of the fundamental steps in organizing videos is to parse it in smaller descriptive parts. One way of realizing this step is to obtain shot or scene information. One or more consecutive semantically correlated shots sharing the same content construct video scenes. On the other hand, video scenes are different from the shots in the sense of their boundary definitions; video scenes have semantic boundaries and shots are defined with physical boundaries. In this paper, we concentrate on developing a fast, as well as well-performed video scene detection method. Our graph partition based video scene boundary detection approach, in which multiple features extracted from the video, determines the video scene boundaries through an unsupervised clustering procedure. For each video shot to shot comparison feature, a one-dimensional signal is constructed by graph partitions obtained from the similarity matrix in a temporal interval. After each one-dimensional signal is filtered, an unsupervised clustering is conducted for finding video scene boundaries. We adopt two different graph-based approaches in a single framework in order to find video scene boundaries. The proposed graph-based video scene boundary detection method is evaluated and compared with the graph-based video scene detection method presented in literature. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596510001086#