A semantics and image retrieval system for hierarchical image databases

作者：

Highlights：

• Proposes automatic semantics and image retrieval system for hierarchical databases.

• System uses < 1/3 search space to retrieve semantics, and finally similar images.

• ≈ 77% semantic retrieval accuracy on ImageNet. Uses ≈ 4% space to retrieve images.

• System reports precision of 0.78 @ 20 and 0.67 @ 100 images on categorized WANG.

• The study explores adequacy of visual signatures set used to represent a semantic.

摘要

•Proposes automatic semantics and image retrieval system for hierarchical databases.•System uses < 1/3 search space to retrieve semantics, and finally similar images.•≈ 77% semantic retrieval accuracy on ImageNet. Uses ≈ 4% space to retrieve images.•System reports precision of 0.78 @ 20 and 0.67 @ 100 images on categorized WANG.•The study explores adequacy of visual signatures set used to represent a semantic.

论文关键词：Content based image retrieval,Semantic assignment,Clustering,Visual search space,Indexing of visual features

论文评审过程：Received 11 September 2015, Revised 2 December 2015, Accepted 10 December 2015, Available online 6 January 2016, Version of Record 17 May 2016.

论文官网地址：https://doi.org/10.1016/j.ipm.2015.12.005