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Segmenting Tv Series into Scenes Using Speaker Diarization
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ercolessi, Philippe Sénac, Christine Joly, Philippe Bredin, Hervé |
| Copyright Year | 2010 |
| Abstract | In this paper, we propose a novel approach to perform scene segmentation of TV series. Using the output of our existing speaker diarization system, any temporal segment of the vid eo can be described as a binary feature vector. A straightforwa rd segmentation algorithm then allows to group similar contig uous speaker segments into scenes. An additional visual-onl y color-based segmentation is then used to refine the first segmentation. Experiments are performed on a subset of the Ally McBealTV series and show promising results, obtained with a rule-free and generic method. For comparison purposes, te st corpus annotations and description are made available to th e community. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://herve.niderb.fr/download/pdfs/Ercolessi2011.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
