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Quantifying the Relationship between Visual Salience and Visual Importance

机译:量化视觉显着性和视觉重要性之间的关系

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摘要

This paper presents the results of two psychophysical experiments and an associated computational analysis designed to quantify the relationship between visual salience and visual importance. In the first experiment, importance maps were collected by asking human subjects to rate the relative visual importance of each object within a database of hand-segmented images. In the second experiment, experimental saliency maps were computed from visual gaze patterns measured for these same images by using an eye-tracker and task-free viewing. By comparing the importance maps with the saliency maps, we found that the maps are related, but perhaps less than one might expect. When coupled with the segmentation information, the saliency maps were shown to be effective at predicting the main subjects. However, the saliency maps were less effective at predicting the objects of secondary importance and the unimportant objects. We also found that the vast majority of early gaze position samples (0-2000 ms) were made on the main subjects, suggesting that a possible strategy of early visual coding might be to quickly locate the main subject (s) in the scene.
机译:本文介绍了两个心理物理实验的结果以及旨在量化视觉显着性和视觉重要性之间关系的相关计算分析。在第一个实验中,通过要求人类受试者对手分割图像数据库中每个对象的相对视觉重要性进行评级,来收集重要性图。在第二个实验中,通过使用眼动仪和无任务观察,从为这些相同图像测得的视觉凝视模式计算出实验显着性图。通过将重要性图与显着图进行比较,我们发现这些图是相关的,但可能少于预期。当与分割信息相结合时,显着性图显示出可以有效地预测主要对象。但是,显着性图在预测次要对象和不重要对象时效果较差。我们还发现,绝大多数早期注视位置样本(0-2000毫秒)是在主要主体上拍摄的,这表明早期视觉编码的一种可能策略可能是快速定位场景中的主要主体。

著录项

  • 来源
    《Human vision and electronic imaging XV》|2010年|P.75270K.1-75270K.9|共9页
  • 会议地点 San Jose CA(US)
  • 作者单位

    School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China IRCCyN UMR no 6597 CNRS, Ecole Polytechnique de 1'Universite de Nantes, Nantes, France;

    rnSchool of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK USA;

    rnIRCCyN UMR no 6597 CNRS, Ecole Polytechnique de 1'Universite de Nantes, Nantes, France;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息处理(信息加工);
  • 关键词

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