Global and local sensitivity guided key salient object re-augmentation for video saliency detection

作者：

Highlights：

• Summarize the law of eye fixations via statistical analysis on video saliency dataset.

• Dominant salient object re-augmentation strategy for accurate saliency prediction.

• Top-down semantic guided knowledge for salient object ranking.

• Bottom-up feature weighting to re-shuffle the spatial pixel weights.

摘要

•Summarize the law of eye fixations via statistical analysis on video saliency dataset.•Dominant salient object re-augmentation strategy for accurate saliency prediction.•Top-down semantic guided knowledge for salient object ranking.•Bottom-up feature weighting to re-shuffle the spatial pixel weights.

论文关键词：Video saliency detection,Ranking saliency,Semantical guidance

论文评审过程：Received 16 June 2019, Revised 22 January 2020, Accepted 11 February 2020, Available online 18 February 2020, Version of Record 9 March 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107275