Spatio-temporal enhanced sparse feature selection for video saliency estimation

• Main Authors: Luo, Ye, Tian, Qi
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2013
• 主題: DRNTU::Engineering::Electrical and electronic engineering
• 在線閱讀: https://hdl.handle.net/10356/101879; http://hdl.handle.net/10220/16359
• 機構: Nanyang Technological University

Video saliency mechanism is crucial in the human visual system and helpful to object detection and recognition. In this paper we propose a novel video saliency model that video saliency should be both consistently salient among consecutive frames and temporally novel due to motion or appearance chan...