Clustering of scene repeats for essential rushes preview
In: Proceedings WIAMIS 2009 ; International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS) 2009 ; https://hal.archives-ouvertes.fr/hal-00362789 ; International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS) 2009, May 2009, London, United Kingdom. pp.234-237, 2009
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Zugriff:
International audience ; This paper focuses on a specific type of unedited video content, called rushes, which are used for movie editing and usually present a high-level of redundancy. Our goal is to automatically extract a summarized preview, where redundant material is diminished without discarding any important event. To achieve this, rushes content has been first analysed and modeled. Then different clustering techniques on shot key-frames are presented and compared in order to choose the best representative segments to enter the preview. Experiments performed on TRECVID data are evaluated by computing the mutual information between the obtained results and a manually annotated ground-truth.
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Clustering of scene repeats for essential rushes preview
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| Autor/in / Beteiligte Person: | Rossi, Eliana ; Benini, Sergio ; Leonardi, Riccardo ; Mansencal, Boris ; Benois-Pineau, Jenny ; University of Brescia ; Laboratoire Bordelais de Recherche en Informatique (LaBRI) ; Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB) |
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| Zeitschrift: | Proceedings WIAMIS 2009 ; International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS) 2009 ; https://hal.archives-ouvertes.fr/hal-00362789 ; International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS) 2009, May 2009, London, United Kingdom. pp.234-237, 2009 |
| Veröffentlichung: | HAL CCSD, 2009 |
| Medientyp: | Konferenz |
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