REPERE挑战的介绍

Juliette Kahn, Olivier Galibert, L. Quintard, Matthieu Carré, Aude Giraudel, P. Joly
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引用次数: 55

摘要

REPERE挑战旨在支持在多模式条件下对人的识别研究。为评估技术进步,将于2012年至2014年组织年度评估活动。在这种情况下,REPERE语料库,一个具有多模态注释的法语视频语料库已经开发出来。系统必须回答以下问题:谁在说话?谁出现在视频中?引用了哪些名字?显示了哪些名字?挑战在于将来自语音和图像的各种信息结合起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A presentation of the REPERE challenge
The REPERE Challenge aims to support research on people recognition in multimodal conditions. To assess the technology progress, annual evaluation campaigns will be organized from 2012 to 2014. In this context the REPERE corpus, a French video corpus with multimodal annotation, has been developed. The systems have to answer the following questions: Who is speaking? Who is present in the video? What names are cited? What names are displayed? The challenge is to combine the various information coming from the speech and the images.
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