A generic framework for optimal 2D/3D key-frame extraction driven by aggregated saliency maps

作者：

Highlights：

• A 2D/3D key-frame extraction framework driven by aggregated saliency maps.

• A method to compute aggregated saliency maps in 3D video using attention models.

• Optimal key-frame extraction taking into account different visual saliency regions.

摘要

Highlights•A 2D/3D key-frame extraction framework driven by aggregated saliency maps.•A method to compute aggregated saliency maps in 3D video using attention models.•Optimal key-frame extraction taking into account different visual saliency regions.

论文关键词：3D key-frames,Visual saliency map,3D video summary,Aggregated saliency map

论文评审过程：Received 10 April 2015, Revised 4 September 2015, Accepted 8 September 2015, Available online 25 September 2015, Version of Record 1 October 2015.

论文官网地址：https://doi.org/10.1016/j.image.2015.09.005