Exploring album structure for face recognition in online social networks
作者：
Highlights：
• We propose a face recognition model based on albums in online social networks.
• Albums tend to be composed of many pictures of a small group of people.
• Limiting the set of unique labels and using album-level features improve recognition.
• We present two systems to learn how best to use these social features.
• We validate our model on two datasets independently downloaded from Facebook.
摘要
•We propose a face recognition model based on albums in online social networks.•Albums tend to be composed of many pictures of a small group of people.•Limiting the set of unique labels and using album-level features improve recognition.•We present two systems to learn how best to use these social features.•We validate our model on two datasets independently downloaded from Facebook.
论文关键词：Face recognition,Online social networks,Structural SVM
论文评审过程：Received 31 May 2013, Revised 25 November 2013, Accepted 9 January 2014, Available online 19 January 2014.
论文官网地址：https://doi.org/10.1016/j.imavis.2014.01.002
