Salient object detection via global and local cues
作者：
Highlights：
• We present a coding-based algorithm for salient object detection.
• Integration of local and global cues makes the saliency maps more accurate, intact.
• Bottom-up maps provide foreground and background codebooks for following steps.
• Fusion of FC and BC based results makes the saliency results more uniform, robust.
• Our coding-based method can be easily applied in other methods for improvement.
摘要
Highlights•We present a coding-based algorithm for salient object detection.•Integration of local and global cues makes the saliency maps more accurate, intact.•Bottom-up maps provide foreground and background codebooks for following steps.•Fusion of FC and BC based results makes the saliency results more uniform, robust.•Our coding-based method can be easily applied in other methods for improvement.
论文关键词：Visual saliency,Locality-constrained linear coding,Global and local cues
论文评审过程：Received 15 July 2014, Revised 6 November 2014, Accepted 5 December 2014, Available online 17 December 2014, Version of Record 17 June 2015.
论文官网地址：https://doi.org/10.1016/j.patcog.2014.12.005
