Spatiotemporal saliency detection via sparse representation

• Main Authors: Ren, Zhixiang, Gao, Shenghua, Rajan, Deepu, Chia, Clement Liang-Tien, Huang, Yun
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/99619; http://hdl.handle.net/10220/13023
• Institution: Nanyang Technological University

Multimedia applications like retrieval, copy detection etc. can gain from saliency detection, which is essentially a method to identify areas in images and videos that capture the attention of the human visual system. In this paper, we propose a new spatiotemporal saliency framework for videos based...