Leveraging multiple cues for recognizing family photos

作者：

Highlights：

• A new geometry feature is proposed to capture people's standing pattern at the scene level.

• Deep convolutional neural network is incorporated into appearance model to capture facial similarities of the group photo.

• Semantic information is applied and fused with other information to discriminant two different photo categories.

摘要

•A new geometry feature is proposed to capture people's standing pattern at the scene level.•Deep convolutional neural network is incorporated into appearance model to capture facial similarities of the group photo.•Semantic information is applied and fused with other information to discriminant two different photo categories.

论文关键词：Family photo recognition,Social media,Semantics,Group photo analysis

论文评审过程：Received 8 October 2015, Revised 23 June 2016, Accepted 16 July 2016, Available online 25 July 2016, Version of Record 20 February 2017.

论文官网地址：https://doi.org/10.1016/j.imavis.2016.07.006