QCompere @ REPERE 2013

Hervé Bredin 1 Johann Poignant 2 Guillaume Fortier 3 Makarand Tapaswi 4 Viet-Bac Le 5 Anindya Roy 1 Claude Barras 1 Sophie Rosset 1 Achintya Sarkar 1 Qian Yang 4 Gao Hua 4 Alexis Mignon 6 Jakob Verbeek 3 Laurent Besacier 2 Georges Quénot 7 Hazim Kemal Ekenel 4 Rainer Stiefelhagen 4
3 LEAR - Learning and recognition in vision
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
6 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
7 MRIM - Modélisation et Recherche d’Information Multimédia [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
Abstract : We describe QCompere consortium submissions to the REPERE 2013 evaluation campaign. The REPERE challenge aims at gathering four communities (face recognition, speaker identification, optical character recognition and named entity detection) towards the same goal: multimodal person recognition in TV broadcast. First, four mono-modal components are introduced (one for each foregoing community) constituting the elementary building blocks of our various submissions. Then, depending on the target modality (speaker or face recognition) and on the task (supervised or unsupervised recognition), four different fusion techniques are introduced: they can be summarized as propagation-, classifier-, rule- or graph-based approaches. Finally, their performance is evaluated on REPERE 2013 test set and their advantages and limitations are discussed.
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Hervé Bredin, Johann Poignant, Guillaume Fortier, Makarand Tapaswi, Viet-Bac Le, et al.. QCompere @ REPERE 2013. SLAM 2013 - First Workshop on Speech, Language and Audio for Multimedia, Aug 2013, Marseille, France. pp.49-54. ⟨hal-00949320⟩

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