Real-time salient object detection with a minimum spanning tree

• Main Authors: TU, Wei-Chih, HE, Shengfeng, YANG, Qingxiong, CHIEN, Shao-Yi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Background region; Dissimilarity measures; Distance transform algorithms; Distance transforms; Minimum spanning trees; Object geometries; Salient object detection; State-of-the-art methods; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/8431; https://ink.library.smu.edu.sg/context/sis_research/article/9434/viewcontent/Real_Time_Salient_Object_Detection_With_a_Minimum_Spanning_Tree.pdf
• Institution: Singapore Management University

In this paper, we present a real-time salient object detection system based on the minimum spanning tree. Due to the fact that background regions are typically connected to the image boundaries, salient objects can be extracted by computing the distances to the boundaries. However, measuring the ima...