Improving feature matching strategies for efficient image retrieval

作者：

Highlights：

• Twin Feature is further discussed and optimized into binary code to reduce memory requirement.

• Dynamic normalization is designed to adjust the norm of image when calculating similarity scores.

• An effective image retrieval framework based on SMK with the proposed methods integrated is designed.

摘要

Highlights•Twin Feature is further discussed and optimized into binary code to reduce memory requirement.•Dynamic normalization is designed to adjust the norm of image when calculating similarity scores.•An effective image retrieval framework based on SMK with the proposed methods integrated is designed.

论文关键词：Image retrieval,Feature matching,Twin Feature,Similarity maximal matching,Dynamic normalization

论文评审过程：Received 25 July 2016, Revised 10 January 2017, Accepted 14 February 2017, Available online 16 February 2017, Version of Record 6 March 2017.

论文官网地址：https://doi.org/10.1016/j.image.2017.02.006