通信学报2016，Vol.37Issue(11)：129-136,8.DOI:10.11959/j.issn.1000-436x.2016223
基于人物图像视觉特征的人物性格隐私分析
Human personality privacy analysis based on visual features
摘要
Abstract
Personalized recommendation in social media attempts to analyze the habits and personality based on the loca-tion information and pictures from the users’ comments on the public platform. This is very useful for personalized in-formation recommendation. But from perspective of privacy protection, this will affect the privacy security. A novel hu-man personality privacy analysis method based on portrait was proposed. By analyzing the personality model of the psy-chology, five visual features were proposed, including color features, texture features, shape features, Itten contrast fea-tures and expression features. Comprehensive experiments demonstrate the effectiveness of the proposed method. Further, the features analysis experiment show that the proposed features are very relevant to human personality privacy analyz-ing.关键词
人物图像/视觉特征/人物性格/隐私Key words
portrait/visual feature/personality/privacy分类
信息技术与安全科学引用本文复制引用
聂婕,黄磊,李臻,张健,闫艳,魏志强..基于人物图像视觉特征的人物性格隐私分析[J].通信学报,2016,37(11):129-136,8.基金项目
国家自然科学基金资助项目（No.61672475, No.61402428, No.61602430）Foundation Item:The National Natural Science Foundation of China (No.61672475, No.61402428, No.61602430) （No.61672475, No.61402428, No.61602430）
