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Conference Papers Year : 2013

QCompere @ REPERE 2013

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Viet-Bac Le
  • Function : Author
  • PersonId : 934419
Jakob Verbeek

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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Dates and versions

hal-00949320 , version 1 (19-02-2014)

Identifiers

  • HAL Id : hal-00949320 , version 1

Cite

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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