Object-based attention: saliency detection using contrast via background prototypes

被引：9
|
作者：
Zhou, Quan [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing 210003, Peoples R China
来源：
ELECTRONICS LETTERS | 2014年 / 50卷 / 14期
基金：
中国国家自然科学基金;
关键词：
Compendex;
D O I：
10.1049/el.2014.0903
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：
An object-based attention model to predict visual saliency using contrast against the 'background prototypes' is presented. The proposed model automatically identifies a series of regions far away from the image centre as background prototypes. The visual saliency is then calculated using the colour contrast against these background prototypes. Promising experimental results demonstrate the effectiveness of the proposed model in terms of detection accuracy and implementation efficiency.
引用
收藏
页码：997 / U111
页数：3
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