Finding more relevance: Propagating similarity on Markov random field for object retrieval

作者：

Highlights：

• A Markov random field based probabilistic framework is proposed for image retrieval.

• A belief propagation algorithm is proposed for the inference of Markov random field.

• A new image retrieval system is designed based on the proposed framework.

• Our system overcomes the failures caused by the differences of imaging conditions.

• Our system achieves the state-of-the-art results on three public datasets.

摘要

Highlights•A Markov random field based probabilistic framework is proposed for image retrieval.•A belief propagation algorithm is proposed for the inference of Markov random field.•A new image retrieval system is designed based on the proposed framework.•Our system overcomes the failures caused by the differences of imaging conditions.•Our system achieves the state-of-the-art results on three public datasets.

论文关键词：Image retrieval,Bag-of-visual-words,Markov random field

论文评审过程：Received 29 June 2014, Revised 19 January 2015, Accepted 20 January 2015, Available online 29 January 2015.

论文官网地址：https://doi.org/10.1016/j.image.2015.01.007