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Inherent Importance of Early Visual Features in Attraction of Human Attention.
Eghdam, Reza; Ebrahimpour, Reza; Zabbah, Iman; Zabbah, Sajjad.
Afiliación
  • Eghdam R; Faculty of Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran.
  • Ebrahimpour R; School of Cognitive Sciences (SCS), Institute for Research in Fundamental Sciences (IPM), Niavaran, Tehran, Iran.
  • Zabbah I; Faculty of Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran.
  • Zabbah S; School of Cognitive Sciences (SCS), Institute for Research in Fundamental Sciences (IPM), Niavaran, Tehran, Iran.
Comput Intell Neurosci ; 2020: 3496432, 2020.
Article en En | MEDLINE | ID: mdl-33488689
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Orientación / Algoritmos Límite: Humans Idioma: En Revista: Comput Intell Neurosci Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Irán

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Orientación / Algoritmos Límite: Humans Idioma: En Revista: Comput Intell Neurosci Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Irán