IMAGE COMPLEXITY MEASURE BASED ON VISUAL ATTENTION

被引：0
|
作者：
Da Silva, Matthieur Perreira [1 ]
Courboulay, Vincent [1 ]
Estraillier, Pascal [1 ]
机构：
[1] Univ La Rochelle, L3i, F-17042 La Rochelle 01, France
来源：
2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2011年
关键词：
MODEL;
D O I：
暂无
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：
Digital images can be analyzed at wide range of levels going from pixel arrangement to semantics. As a consequence, finding a visual complexity estimator is a difficult task. In this article we propose a definition of attention based perceptual complexity. We study the performance of human eye movements and of different models of computational attention against a ground-truth of image complexity based on the observation time of an image description task. The results obtained show that besides its lack of semantic processing, attentional behavior is a good estimator of image complexity.
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页数：4
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