Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6041
Title: Hypergraph-based saliency map generation with potential region-of-interest approximation and validation
Authors: Liang, Z
Fu, H
Chi, ZG 
Feng, DD
Keywords: Approximation theory
Graph theory
Image representation
Issue Date: Jan-2012
Publisher: SPIE-International Society for Optical Engineering
Source: Journal of electronic imaging, Jan. 2012, v. 21, no. 1, 013012, p. 1-4 How to cite?
Journal: Journal of electronic imaging 
Abstract: A novel saliency model is proposed in this paper to automatically process images in the similar way as the human visual system which focuses on conspicuous regions that catch human beings’ attention. The model combines a hypergraph representation and a partitioning process with potential region-of-interest (p-ROI) approximation and validation. Experimental results demonstrate that the proposed method shows considerable improvement in the performance of saliency map generation.
URI: http://hdl.handle.net/10397/6041
ISSN: 1017-9909
EISSN: 1560-229X
DOI: 10.1117/1.JEI.21.1.013012
Rights: Liang Z, Fu H, Chi Z and Feng D, "Hypergraph-based saliency map generation with potential region-of-interest approximation and validation," J. Electron. Imaging., 21(1), 013012, p. 1-4 (2012)
Copyright 2012 Society of Photo-Optical Instrumentation Engineers & Society for Imaging Science and Technology. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
http://dx.doi.org/10.1117/1.JEI.21.1.013012.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Liang_Hypergraph-based_Saliency_Map.pdf2.46 MBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

154
Last Week
1
Last month
Checked on Aug 20, 2017

Download(s)

189
Checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.