A decisive content based image retrieval approach for feature fusion in visual and textual images

作者：

Highlights：

• A decisive CBIR system is proposed that considers visual and textual contents.

• The system is innovative in dealing with visual as well as textual images.

• The system first classifies the query image into textual/non-textual and then extract its features.

• The system support three modes of retrieval: Image query, Keywords, and combination of both.

• The system is efficient and applicable for low-power hardware, and free from training efforts.

摘要

•A decisive CBIR system is proposed that considers visual and textual contents.•The system is innovative in dealing with visual as well as textual images.•The system first classifies the query image into textual/non-textual and then extract its features.•The system support three modes of retrieval: Image query, Keywords, and combination of both.•The system is efficient and applicable for low-power hardware, and free from training efforts.

论文关键词：CBIR,Image retrieval,Information retrieval,Knowledge-based system,Feature fusion

论文评审过程：Received 28 January 2019, Revised 18 April 2019, Accepted 1 May 2019, Available online 14 May 2019, Version of Record 12 June 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.05.001