Isophote Based Center-Surround Contrast Computation for Image Saliency Detection
Summary :
In this paper, we introduce a biologically-motivated model to detect image saliency. The model employs an isophote based operator to detect potential structure and global saliency information related to each pixel, which are then combined with integral image to build up final saliency maps. We show that the proposed model outperforms seven state-of-the-art saliency detectors in experimental studies.
- Publication
- IEICE TRANSACTIONS on Information Vol.E97-D No.1 pp.160-163
- Publication Date
- 2014/01/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E97.D.160
- Type of Manuscript
- LETTER
- Category
- Image Recognition, Computer Vision
Authors
Yuelong CHUANG
Zhejiang University
Ling CHEN
Zhejiang University
Gencai CHEN
Zhejiang University
John WOODWARD
School of Natural Sciences, University of Stirling
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Yuelong CHUANG, Ling CHEN, Gencai CHEN, John WOODWARD, "Isophote Based Center-Surround Contrast Computation for Image Saliency Detection" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 1, pp. 160-163, January 2014, doi: 10.1587/transinf.E97.D.160.
Abstract: In this paper, we introduce a biologically-motivated model to detect image saliency. The model employs an isophote based operator to detect potential structure and global saliency information related to each pixel, which are then combined with integral image to build up final saliency maps. We show that the proposed model outperforms seven state-of-the-art saliency detectors in experimental studies.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E97.D.160/_p
Copy
@ARTICLE{e97-d_1_160,
author={Yuelong CHUANG, Ling CHEN, Gencai CHEN, John WOODWARD, },
journal={IEICE TRANSACTIONS on Information},
title={Isophote Based Center-Surround Contrast Computation for Image Saliency Detection},
year={2014},
volume={E97-D},
number={1},
pages={160-163},
abstract={In this paper, we introduce a biologically-motivated model to detect image saliency. The model employs an isophote based operator to detect potential structure and global saliency information related to each pixel, which are then combined with integral image to build up final saliency maps. We show that the proposed model outperforms seven state-of-the-art saliency detectors in experimental studies.},
keywords={},
doi={10.1587/transinf.E97.D.160},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - Isophote Based Center-Surround Contrast Computation for Image Saliency Detection
T2 - IEICE TRANSACTIONS on Information
SP - 160
EP - 163
AU - Yuelong CHUANG
AU - Ling CHEN
AU - Gencai CHEN
AU - John WOODWARD
PY - 2014
DO - 10.1587/transinf.E97.D.160
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2014
AB - In this paper, we introduce a biologically-motivated model to detect image saliency. The model employs an isophote based operator to detect potential structure and global saliency information related to each pixel, which are then combined with integral image to build up final saliency maps. We show that the proposed model outperforms seven state-of-the-art saliency detectors in experimental studies.
ER -
English
