Spatio-temporal enhanced sparse feature selection for video saliency estimation

• Main Authors: Luo, Ye, Tian, Qi
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/101879; http://hdl.handle.net/10220/16359
• Institution: 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...