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Data mining / Geostatistics / Machine learning / Spectral clustering / K-means clustering / Segmentation / Consensus clustering / Statistics / Cluster analysis / Data analysis


Hierarchical Framework for Plot De-interlacing of TV Series based on Speakers, Dialogues and Images Philippe Ercolessi, Christine Sénac, Sandrine Mouysset Hervé Bredin
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Document Date: 2015-01-26 03:58:12

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City

Kyoto / Nara / /

Country

Japan / Jordan / United States / /

Currency

USD / /

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IndustryTerm

evaluation tool / community detection algorithm / actual clustering algorithm / automatic video abstraction tools / automatic processing / neural information processing systems / web-application / web-based interface / scene clustering algorithms / state-ofthe-art algorithm / detection algorithm / plot de-interlacing algorithm / /

Organization

IDF / National Academy of Sciences / Pattern Analysis and Machine Intelligence / /

Person

Francis Malcolm Malcolm Steevie Alyson Alyson Alyson / Malcolm RoleNet / Story / Paul Sabatier / Diarization / Christine Sénac / Hervé Bredin / Francis Reese Francis Malcolm Malcolm / Alyson Alyson Alyson Piama Otto Steevie Malcolm / /

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Position

reference speaker / Multi-Stage Speaker / speaker / representative / General / Scenes using Speaker / /

ProvinceOrState

South Dakota / /

PublishedMedium

Proceedings of the National Academy of Sciences / /

TVShow

Malcolm in the Middle / CSI /

Technology

speech recognition / actual clustering algorithm / plot de-interlacing algorithm / dSD / state-ofthe-art algorithm / scene clustering algorithms / CDE detection algorithm / http / proposed algorithms / mobile phones / speech recognition system / community detection algorithm / /

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