Understanding image concepts using ISTOP model

作者：

Highlights：

• In understanding an image there is a significant gap between scene level and object level.

• ISTOP model can parse an image form scene level to visual term, object and part level by context sensitive grammar.

• The visual term is a new concept which can bridge the gap between scene level and object level.

• The context used in the grammar can improve object detection as well as visual term detection.

摘要

Highlights•In understanding an image there is a significant gap between scene level and object level.•ISTOP model can parse an image form scene level to visual term, object and part level by context sensitive grammar.•The visual term is a new concept which can bridge the gap between scene level and object level.•The context used in the grammar can improve object detection as well as visual term detection.

论文关键词：Visual term,Context sensitive grammar,Latent SVM,And–Or graph,Concept recognition,Image parsing

论文评审过程：Received 14 November 2014, Revised 16 October 2015, Accepted 14 November 2015, Available online 4 December 2015, Version of Record 8 February 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.11.010