Salient region detection based on local and global saliency

Peng Wang; Zhi Zhou; Wei Liu; Hong Qiao

doi:10.1109/ICRA.2014.6907057

Salient region detection based on local and global saliency

Peng Wang
, Zhi Zhou
, Wei Liu
, Hong Qiao

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Proceedings - IEEE International Conference on Robotics and Automation
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1546-1551
Number of pages	6
ISBN (Electronic)	9781479936854, 9781479936854
DOIs	https://doi.org/10.1109/ICRA.2014.6907057
State	Published - 22 Sep 2014
Externally published	Yes
Event	2014 IEEE International Conference on Robotics and Automation, ICRA 2014 - Hong Kong, China Duration: 31 May 2014 → 7 Jun 2014

Publication series

Name	Proceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)	1050-4729

Conference

Conference	2014 IEEE International Conference on Robotics and Automation, ICRA 2014
Country/Territory	China
City	Hong Kong
Period	31/05/14 → 7/06/14

Access to Document

10.1109/ICRA.2014.6907057

Cite this

Wang, P., Zhou, Z., Liu, W., & Qiao, H. (2014). Salient region detection based on local and global saliency. In Proceedings - IEEE International Conference on Robotics and Automation (pp. 1546-1551). Article 6907057 (Proceedings - IEEE International Conference on Robotics and Automation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRA.2014.6907057

@inproceedings{4de4887e70cc4e69ac84121a7c714e1e,

title = "Salient region detection based on local and global saliency",

abstract = "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.",

author = "Peng Wang and Zhi Zhou and Wei Liu and Hong Qiao",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Robotics and Automation, ICRA 2014 ; Conference date: 31-05-2014 Through 07-06-2014",

year = "2014",

month = sep,

day = "22",

doi = "10.1109/ICRA.2014.6907057",

language = "英语",

series = "Proceedings - IEEE International Conference on Robotics and Automation",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1546--1551",

booktitle = "Proceedings - IEEE International Conference on Robotics and Automation",

}

Wang, P, Zhou, Z, Liu, W & Qiao, H 2014, Salient region detection based on local and global saliency. in Proceedings - IEEE International Conference on Robotics and Automation., 6907057, Proceedings - IEEE International Conference on Robotics and Automation, Institute of Electrical and Electronics Engineers Inc., pp. 1546-1551, 2014 IEEE International Conference on Robotics and Automation, ICRA 2014, Hong Kong, China, 31/05/14. https://doi.org/10.1109/ICRA.2014.6907057

Salient region detection based on local and global saliency. / Wang, Peng; Zhou, Zhi; Liu, Wei et al.
Proceedings - IEEE International Conference on Robotics and Automation. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1546-1551 6907057 (Proceedings - IEEE International Conference on Robotics and Automation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Salient region detection based on local and global saliency

AU - Wang, Peng

AU - Zhou, Zhi

AU - Liu, Wei

AU - Qiao, Hong

PY - 2014/9/22

Y1 - 2014/9/22

N2 - 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.

AB - 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.

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U2 - 10.1109/ICRA.2014.6907057

DO - 10.1109/ICRA.2014.6907057

M3 - 会议稿件

AN - SCOPUS:84929162648

T3 - Proceedings - IEEE International Conference on Robotics and Automation

SP - 1546

EP - 1551

BT - Proceedings - IEEE International Conference on Robotics and Automation

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE International Conference on Robotics and Automation, ICRA 2014

Y2 - 31 May 2014 through 7 June 2014

ER -

Salient region detection based on local and global saliency

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