Learning group-based dictionaries for discriminative image representation

作者：

Highlights：

• A visual concept network is built to characterize the inter-concept correlations.

• An automatic algorithm is proposed for identifying the visually similar groups.

• A new algorithm is developed to learn group-based discriminative dictionaries.

• A structural method is developed for classifier training and image classification.

• Our proposed algorithms are evaluated on multiple popular visual benchmarks.

摘要

Highlights•A visual concept network is built to characterize the inter-concept correlations.•An automatic algorithm is proposed for identifying the visually similar groups.•A new algorithm is developed to learn group-based discriminative dictionaries.•A structural method is developed for classifier training and image classification.•Our proposed algorithms are evaluated on multiple popular visual benchmarks.

论文关键词：Group-based dictionary learning,Discriminative image representation,Bag-of-visual-words,Structural learning,Image classification

论文评审过程：Received 15 November 2012, Revised 17 July 2013, Accepted 21 July 2013, Available online 6 August 2013.

论文官网地址：https://doi.org/10.1016/j.patcog.2013.07.016