Eghdam Reza, Ebrahimpour Reza, Zabbah Iman, Zabbah Sajjad
Faculty of Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran.
School of Cognitive Sciences (SCS), Institute for Research in Fundamental Sciences (IPM), Niavaran, Tehran, Iran.
Comput Intell Neurosci. 2020 Dec 22;2020:3496432. doi: 10.1155/2020/3496432. eCollection 2020.
Local contrasts attract human attention to different areas of an image. Studies have shown that orientation, color, and intensity are some basic visual features which their contrasts attract our attention. Since these features are in different modalities, their contribution in the attraction of human attention is not easily comparable. In this study, we investigated the importance of these three features in the attraction of human attention in synthetic and natural images. Choosing 100% percent detectable contrast in each modality, we studied the competition between different features. Psychophysics results showed that, although single features can be detected easily in all trials, when features were presented simultaneously in a stimulus, orientation always attracts subject's attention. In addition, computational results showed that orientation feature map is more informative about the pattern of human saccades in natural images. Finally, using optimization algorithms we quantified the impact of each feature map in construction of the final saliency map.
局部对比度会吸引人类的注意力到图像的不同区域。研究表明,方向、颜色和亮度是一些基本的视觉特征,它们的对比度会吸引我们的注意力。由于这些特征处于不同的模态,它们在吸引人类注意力方面的贡献不易比较。在本研究中,我们调查了这三个特征在合成图像和自然图像中吸引人类注意力方面的重要性。在每种模态中选择100%可检测的对比度,我们研究了不同特征之间的竞争。心理物理学结果表明,虽然在所有试验中单个特征都能很容易被检测到,但当特征同时呈现在一个刺激中时,方向总是会吸引受试者的注意力。此外,计算结果表明,方向特征图在自然图像中关于人类眼跳模式的信息更多。最后,使用优化算法我们量化了每个特征图在构建最终显著性图中的影响。