Computational attention model for children, adults and the elderly
| Autor: | Kiyoharu Aizawa, Go Irie, Onkar Krishna |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Visual perception
genetic structures Computer Networks and Communications Computer science 020207 software engineering Image processing 02 engineering and technology Observer (special relativity) Attention model Gaze Hardware and Architecture Salience (neuroscience) 0202 electrical engineering electronic engineering information engineering Media Technology Software Cognitive psychology |
| Zdroj: | Multimedia Tools and Applications. 80:1055-1074 |
| ISSN: | 1573-7721 1380-7501 |
| Popis: | Computational models of saliency estimation have been studied in a wide range of research fields, including visual perception, image processing, computer vision, multimedia, and their intersections. However, most of them seek to simulate scene viewing by adults only, and the impact of observer’s age has rarely been considered. In this paper, we quantitatively analyze age-related differences in gaze landing positions during scene viewing. From the results, we draw the following three conclusions: child observers focus more on the foreground in a scene, i.e., locations that are near, while elderly observers tend to explore the background, i.e., locations farther in the scene; adult observers are more explorative than child and elder ones; and adult observers have significantly lower center bias compared to child and elderly observers. Based on these observations, we developed a novel computational model for age-dependent saliency estimation. The prediction accuracy suggests that our model better fits collected eye-gaze data of observers belonging to different age groups than several existing models do. |
| Databáze: | OpenAIRE |
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