A multi-expert based framework for automatic image annotation

作者：

Highlights：

• A multi-expert framework for AIA is presented that uses the idea of prototypes.

• A solution to the problem of choosing effective subset of feature spaces is presented.

• How to fuse labels suggested by different experts is another contribution of paper.

• An implementation of proposed method containing many experimentation is performed.

摘要

•A multi-expert framework for AIA is presented that uses the idea of prototypes.•A solution to the problem of choosing effective subset of feature spaces is presented.•How to fuse labels suggested by different experts is another contribution of paper.•An implementation of proposed method containing many experimentation is performed.

论文关键词：Automatic image annotation,Feature space,Concept space,Prototype,Semantic gap,Fusion

论文评审过程：Received 28 April 2016, Revised 25 June 2016, Accepted 22 July 2016, Available online 25 July 2016, Version of Record 6 August 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.07.034