Automatic role recognition in multiparty recordings: using social affiliation networks for feature extraction

IEEE Transactions on Multimedia(2009)

引用 72|浏览0
暂无评分
摘要
Automatic analysis of social interactions attracts increasing attention in the multimedia community. This letter considers one of the most important aspects of the problem, namely the roles played by individuals interacting in different settings. In particular, this work proposes an automatic approach for the recognition of roles in both production environment contexts (e.g., news and talk-shows) and spontaneous situations (e.g., meetings). The experiments are performed over roughly 90 h of material (one of the largest databases used for role recognition in the literature) and show that the recognition effectiveness depends on how much the roles influence the behavior of people. Furthermore, this work proposes the first approach for modeling mutual dependences between roles and assesses its effect on role recognition performance.
更多
查看译文
关键词
Feature extraction,Production,Databases,Social network services,Pervasive computing,TV,Motion pictures,Information management,Gaussian distribution
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要