Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31881
Title: Refining a region based attention model using eye tracking data
Authors: Liang, Z
Fu, H
Chi, Z 
Feng, D
Keywords: Visual attention model
Eye tracking data
Fixation mask
Genetic algorithm
Regions of interest
Issue Date: 2010
Publisher: IEEE
Source: 2010 17th IEEE International Conference on Image Processing (ICIP), 26-29 September 2010, Hong Kong, p. 1105-1108 How to cite?
Abstract: Computational visual attention modeling is a topic of increasing importance in machine understanding of images. In this paper, we present an approach to refine a region based attention model with eye tracking data. This paper has three main contributions. (1) A concept of fixation mask is proposed to describe the region saliency of an image by weighting the segmented regions using importance measures obtained in the Human Visual System (HVS) or computational models. (2) A Genetic Algorithm (GA) scheme for refining a region based attention model is proposed. (3) An evaluation method is developed to measure the correlation between the result from the computational model and that from the HVS in terms of fixation mask.
URI: http://hdl.handle.net/10397/31881
ISBN: 978-1-4244-7992-4
978-1-4244-7993-1 (E-ISBN)
ISSN: 1522-4880
DOI: 10.1109/ICIP.2010.5651804
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Last Week
0
Last month
0
Citations as of Apr 30, 2016

WEB OF SCIENCETM
Citations

5
Last Week
0
Last month
0
Citations as of Mar 18, 2017

Page view(s)

15
Last Week
0
Last month
Checked on Mar 19, 2017

Google ScholarTM

Check

Altmetric



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