User-centric Visual Attention Estimation Based on Relationship between Image and Eye Gaze Data

被引：0
|
作者：
Moroto, Yuya [1 ]
Maeda, Keisuke [2 ]
Ogawa, Takahiro [2 ]
Haseyama, Miki [2 ]
机构：
[1] Hokkaido Univ, Sch Engn, Kita Ku, N-13,W-8, Sapporo, Hokkaido 0608628, Japan
[2] Hokkaido Univ, Grad Sch Informat Sci & Technol, Kita Ku, N-14,W-9, Sapporo, Hokkaido 0600814, Japan
来源：
2018 IEEE 7TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE 2018) | 2018年
关键词：
D O I：
10.21778/2218-5453-2018-4-73-78
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：
This paper presents a method for estimating user-centric visual attention based on the relationship between image and eye gaze data. The proposed method focuses on relationship between visual features calculated from images and saliency values calculated from eye gaze data. Specifically, our method calculates the saliency map of each training image by using individual eye gaze data obtained from only these images. Furthermore, from the pairs of visual features and the gaze-based saliency, the estimation of user-centric saliency from a new test image becomes feasible. Our contribution is the construction of a simple but successful estimation model which can train the relationship from limited amount of individual eye gaze data. Experimental results show the effectiveness of the proposed method.
引用
收藏
页码：73 / 74
页数：2
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