Object retrieval with image graph traversal-based re-ranking
作者：
Highlights：
• Our method is a baseline approach based re-ranking method.
• We explore the relation of images in the image level instead of the feature level.
• The proposed image attributes describe the relation between the dataset images and the query from different perspectives.
• The attribute similarity measure and the re-ranking procedure bring much improvements for the baseline retrieval results.
• Our method is also compatible for the multiple-query retrieval with a simple extension.
摘要
Highlights•Our method is a baseline approach based re-ranking method.•We explore the relation of images in the image level instead of the feature level.•The proposed image attributes describe the relation between the dataset images and the query from different perspectives.•The attribute similarity measure and the re-ranking procedure bring much improvements for the baseline retrieval results.•Our method is also compatible for the multiple-query retrieval with a simple extension.
论文关键词：Image graph traversal,Image attribute,Object retrieval,Re-ranking
论文评审过程：Received 8 April 2015, Revised 19 November 2015, Accepted 21 December 2015, Available online 29 December 2015, Version of Record 6 January 2016.
论文官网地址：https://doi.org/10.1016/j.image.2015.12.004
