Adaptive features selection for expert datasets: A cultural heritage application

作者：

Highlights：

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• Adaptive and efficient framework for small expert datasets without prior knowledge.

• Improving the image representation by using an information gain model.

• Using a model based on human visual system.

• Mixing deep features with classical local descriptors.

• Experiment results showing the interest of the proposed framework.

摘要

•Adaptive and efficient framework for small expert datasets without prior knowledge.•Improving the image representation by using an information gain model.•Using a model based on human visual system.•Mixing deep features with classical local descriptors.•Experiment results showing the interest of the proposed framework.

论文关键词：Cultural heritage collection,Content based image retrieval,Visual saliency,Weighting scheme

论文评审过程：Received 2 February 2018, Revised 7 May 2018, Accepted 21 June 2018, Available online 23 June 2018, Version of Record 29 June 2018.

论文官网地址：https://doi.org/10.1016/j.image.2018.06.011