Content-based image retrieval using computational visual attention model

作者：

Highlights：

• A novel computational visual attention model is developed for content-based image retrieval.

• Color volume is introduced to detect saliency areas.

• The energy feature of GLCM is used for globally suppressing map.

• Orientation-selective mechanism is stimulated for image representation.

摘要

•A novel computational visual attention model is developed for content-based image retrieval.•Color volume is introduced to detect saliency areas.•The energy feature of GLCM is used for globally suppressing map.•Orientation-selective mechanism is stimulated for image representation.

论文关键词：Image retrieval,Gray level co-occurrence matrix,Visual attention,Saliency structure model,Saliency structure histogram

论文评审过程：Received 18 March 2013, Revised 1 December 2014, Accepted 7 February 2015, Available online 16 February 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.02.005