Salient region detection based on Local and Global Saliency

被引：0
|
作者：
Wang, Peng [1 ]
Zhou, Zhi [2 ]
Liu, Wei [1 ]
Qiao, Hong [1 ]
机构：
[1] Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) | 2014年
关键词：
VISUAL-ATTENTION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
a new and effective salient region detection method based on local and global saliency information is proposed. To keep the completeness of salient regions, the input image is segmented into several regions firstly. Then for each region, local saliency and global saliency are generated respectively. The local saliency is computed by multi-scale neighborhood contrast, and the global saliency is measured according to global spatial distribution and inter-region isolation of features. Based on the local saliency and global saliency, the final saliency can be obtained by the weighted combination of them. The comparison experiment results demonstrate the effective performance of the proposed algorithm on salient region detection.
引用
收藏
页码：1546 / 1551
页数：6
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