Visual-based transmedia events detection | Zendy

Alexis Joly | Zendy; Julien Champ | Zendy; Pierre Letessier | Zendy; Nicolas Hervé | Zendy; Olivier Buisson | Zendy; Marie-Luce Viaud | Zendy

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Visual-based transmedia events detection

Author(s) -

Alexis Joly,

Julien Champ,

Pierre Letessier,

Nicolas Hervé,

Olivier Buisson,

Marie-Luce Viaud

Publication year - 2012

Publication title -

proceedings of the 30th acm international conference on multimedia

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/2393347.2396480

Subject(s) - newspaper , salient , focus (optics) , computer science , event (particle physics) , originality , world wide web , information retrieval , multimedia , artificial intelligence , media studies , sociology , physics , quantum mechanics , optics , qualitative research , social science

International audienceThis paper presents a visual-based media event detection system based on the automatic discovery of the most circulated images across the main news media (news websites, press agencies, TV news and newspapers). Its main originality is to rely on the transmedia contextual information to denoise the raw visual detections and consequently focus on the most salient transmedia events

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