Multi-feature fusion for image retrieval using constrained dominant sets
作者：
Highlights：
• We propose a multi-feature fusion based image retrieval method.
• Our model can effectively quantify the usefulness of features to a specific query.
• We present a generic model, can be adapted to distinct computer vision problems.
• The proposed model easily alleviates the asymmetry neighborhood problem.
• Extensive experiments have demonstrated the effectiveness of the proposed method.
摘要
•We propose a multi-feature fusion based image retrieval method.•Our model can effectively quantify the usefulness of features to a specific query.•We present a generic model, can be adapted to distinct computer vision problems.•The proposed model easily alleviates the asymmetry neighborhood problem.•Extensive experiments have demonstrated the effectiveness of the proposed method.
论文关键词：Image retrieval,Multi-feature fusion,Diffusion process
论文评审过程：Received 31 July 2018, Revised 1 October 2019, Accepted 3 December 2019, Available online 12 December 2019, Version of Record 23 December 2019.
论文官网地址：https://doi.org/10.1016/j.imavis.2019.103862
