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计算机工程 ›› 2012, Vol. 38 ›› Issue (13): 159-162. doi: 10.3969/j.issn.1000-3428.2012.13.047

• 人工智能及识别技术 • 上一篇    下一篇

视觉注意模型在显著图生成中的适用性评估

陈再良,沈海澜,罗得安   

  1. (中南大学信息科学与工程学院,长沙 410083)
  • 收稿日期:2011-12-13 出版日期:2012-07-05 发布日期:2012-07-05
  • 作者简介:陈再良(1972-),男,博士,主研方向:计算机视觉; 沈海澜,博士;罗得安,本科生
  • 基金资助:
    国家自然科学基金资助项目(60970098, 61173122);中央高校基本科研业务费专项基金资助项目(201021200062);湖南省自 然科学基金资助项目(11JJ3067)

Applicability Evaluation on Visual Attention Model in Saliency Map Generation

CHEN Zai-liang, SHEN Hai-lan, LUO De-an   

  1. (School of Information Science and Engineering, Central South University, Changsha 410083, China)
  • Received:2011-12-13 Online:2012-07-05 Published:2012-07-05

摘要: 针对Itti-Koch、Stentiford、光谱剩余假说和Hu-Rajan-Chia 4种视觉注意模型适用范围的问题,通过4种模型生成的显著图,结合眼动实验分别计算显著图间的相似度,由此对4种模型的适用性进行评估。实验结果表明,4种视觉注意模型对包含不同特征和语义的图像各有侧重,通过眼动数据得到显著图的相似度不低于0.7。

关键词: 显著图, 视觉注意模型, 相似度, 适用性, 眼动

Abstract: Aiming at the problem of application scope of Itti-Koch, Stentiford, Spectral Residual and Hu-Rajan-Chia model, this paper evaluates four saliency maps generated by the four visual attention models. It combines with eye movement experiment, and calculates respectively their similarity of the four saliency maps by the four models and eye movement data. Experimental results show that the four models have their own characteristics and lay emphasis on different aspects, and the similarity between saliency maps by models and saliency map by eye movement data is no less than 0.7.

Key words: saliency map, visual attention model, similarity, applicability, eye movement

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