Saliency-driven image classification method based on histogram mining and image score
作者：
Highlights：
• A new saliency-driven bag-of-phrase approach for image classification is proposed.
• Edge-based dense descriptor is applied.
• Histogram mining and discriminative learning are investigated.
• Image score is adopted as latent information to optimize linear classifier.
• Novel inter- and intra-class histogram normalization methods are explored.
摘要
•A new saliency-driven bag-of-phrase approach for image classification is proposed.•Edge-based dense descriptor is applied.•Histogram mining and discriminative learning are investigated.•Image score is adopted as latent information to optimize linear classifier.•Novel inter- and intra-class histogram normalization methods are explored.
论文关键词：Image classification,Bag of phrase,Saliency map,Histogram mining,Image score
论文评审过程：Received 27 August 2013, Revised 27 December 2014, Accepted 7 February 2015, Available online 14 February 2015.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.02.004
