A tree conditional random field model for panel detection in comic images
作者：
Highlights：
• A novel context modeling method is used to detect panels within comic images.
• Connected components, edge and line segments are extracted from comic images.
• We extract geometric and contextual features for each of the three kinds of objects.
• A tree CRF is used to model the interactions among these objects.
• The detected panels are presented as convex polygons to keep the content integrity.
摘要
Highlights•A novel context modeling method is used to detect panels within comic images.•Connected components, edge and line segments are extracted from comic images.•We extract geometric and contextual features for each of the three kinds of objects.•A tree CRF is used to model the interactions among these objects.•The detected panels are presented as convex polygons to keep the content integrity.
论文关键词：Comic image document,Panel detection,Probabilistic graphical model,Conditional random field,Context modeling
论文评审过程：Received 14 May 2014, Revised 7 November 2014, Accepted 15 January 2015, Available online 22 January 2015.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.01.011
