Automatic salient object extraction with contextual cue and its applications to recognition and alpha matting

作者:

Highlights:

• An image segmentation method extracts the object of interest automatically.

• An energy minimization model leverages multiple features.

• A novel way fuses saliency cue, appearance cue, and contextual cue.

• An iterative algorithm jointly extracts the object, and learns its model.

• The learned object model can recognize the same type of object in new images.

摘要

Author-Highlights•An image segmentation method extracts the object of interest automatically.•An energy minimization model leverages multiple features.•A novel way fuses saliency cue, appearance cue, and contextual cue.•An iterative algorithm jointly extracts the object, and learns its model.•The learned object model can recognize the same type of object in new images.

论文关键词:Salient object,Object extraction,Graph cut,Visual attention,Visual context

论文评审过程:Received 4 October 2012, Revised 18 February 2013, Accepted 26 March 2013, Available online 11 April 2013.

论文官网地址:https://doi.org/10.1016/j.patcog.2013.03.028