REFINING A REGION BASED ATTENTION MODEL USING EYE TRACKING DATA

被引：8
|
作者：
Liang, Zhen [1 ]
Fu, Hong [1 ]
Chi, Zheru [1 ]
Feng, Dagan [1 ]
机构：
[1] Hong Kong Polytech Univ, Dept Elect & Informat Engn, Ctr Multimedia Signal Proc, Hong Kong, Hong Kong, Peoples R China
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年
关键词：
Visual attention model; eye tracking data; genetic algorithm; fixation mask; regions of interest; DRIVEN IMAGE INTERPRETATION; VISUAL-ATTENTION; SCENE;
D O I：
10.1109/ICIP.2010.5651804
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：1105 / 1108
页数：4
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