The REPERE Corpus : a multimodal corpus for person recognition
نویسندگان
چکیده
The REPERE Challenge aims to support research on people recognition in multimodal conditions. To assess the technology progression, annual evaluation campaigns will be organized from 2012 to 2014. In this context, the REPERE corpus, a French videos corpus with multimodal annotation, has been developed. This paper presents datasets collected for the dry run test that took place at the beginning of 2012. Specific annotation tools and guidelines are mainly described. At the time being, 6 hours of data have been collected and annotated. Last section presents analyses of annotation distribution and interaction between modalities in the corpus.
منابع مشابه
REPERE : premiers résultats d'un défi autour de la reconnaissance multimodale des personnes (REPERE : preliminary results of a multimodal person recognition challenge) [in French]
REPERE : preliminary results of a multimodal person recognition challenge The REPERE Challenge aims at supporting researches on people recognition in multimodal conditions. To estimate the technology progress, annual evaluation campaigns on multimodal recognition of people in videos will be organized from 2012 to 2014. In this context, the REPERE corpus, a French videos corpus with multimodal a...
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