Extracting Attention Information Algorithm Based onContrast Sensitivity and Markov Chain

FONT face; Verdana; ZHANG Xiao-lin; ZHAO Hong-wei; WANG Hui; DAI Jin-bo; FONT

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Extracting Attention Information Algorithm Based onContrast Sensitivity and Markov Chain

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- Extracting Attention Information Algorithm Based onContrast Sensitivity and Markov Chain
- Acta Electronica Sinica Vol. 38, Issue 2A, Pages: 213-217(2010)
- 作者机构：
  
  1. 1'吉林大学计算机科学与技术学院,吉林,长春,130012
  2. '吉林大学符号计算与知识工程教育部重点实验室,吉林,长春,130012
  3. '长春师范学院计算机科学与技术学院,吉林,长春,130032
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2010
- 稿件说明：
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FONT face, Verdana, ZHANG Xiao-lin, et al. Extracting Attention Information Algorithm Based onContrast Sensitivity and Markov Chain[J]. Acta Electronica Sinica, 2010, 38(2A): 213-217.
DOI：

FONT face, Verdana, ZHANG Xiao-lin, et al. Extracting Attention Information Algorithm Based onContrast Sensitivity and Markov Chain[J]. Acta Electronica Sinica, 2010, 38(2A): 213-217. DOI：

摘要

<FONT face=Verdana>借鉴生理学的研究成果

提出了一种新的基于对比敏感度和马尔可夫链的视觉注意信息提取算法.在注意特征向量提取之前

先用与离心率有关的对比敏感度函数对输入的图像进行加权

用以模拟视网膜神经节的反应机制；在特征向量上定义马尔可夫链

用它的平稳分布做为活动图上的显著度.算法的平均计算时间和以神经生物学家的研究成果为标准计算的接受者操作特性曲线下面积证明了算法的有效性.

Abstract

<FONT face=Verdana>Inspired by the research in physiology

a novel algorithm for extracting bottom-<FONT face=Verdana>up attention information (integration of contrast sensitivity and Markov chain

ACSMC) is proposed in this paper.In our algorithm

the original image is weighted with a contrast sensitivity formula which is a function retinal eccentricity to simulate the mechanism of retinal ganglion.A Markov chain is defined on feature maps.The equilibrium distribution of this chain is taken as saliency values.The <FONT face=Verdana>average of algorithm cost time and area under receiver operating characteristic curve (AUROC) based on the research of neurobiologist demonstrate its effectiveness.

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