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Visual-Based Transmedia Events Detection

Alexis Joly 1 Julien Champ 1 Pierre Letessier 1, 2 Nicolas Hervé 2 Olivier Buisson 2 Marie-Luce Viaud 2 
1 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : This 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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Submitted on : Wednesday, November 21, 2012 - 5:02:42 PM
Last modification on : Tuesday, October 25, 2022 - 4:16:38 PM
Long-term archiving on: : Friday, February 22, 2013 - 3:50:24 AM


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Alexis Joly, Julien Champ, Pierre Letessier, Nicolas Hervé, Olivier Buisson, et al.. Visual-Based Transmedia Events Detection. MM '12: 20th International conference on Multimedia, ACM, Nov 2012, Nara, Japan. pp.1351-1352, ⟨10.1145/2393347.2396480⟩. ⟨hal-00755696⟩



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