Name
Title | ||
|---|---|---|
Psychophysical evaluation of individual low-level feature influences on visual attention. |
Abstract | ||
|---|---|---|
In this study we provide the analysis of eye movement behavior elicited by low-level feature distinctiveness with a dataset of synthetically-generated image patterns. Design of visual stimuli was inspired by the ones used in previous psychophysical experiments, namely in free-viewing and visual searching tasks, to provide a total of 15 types of stimuli, divided according to the task and feature to be analyzed. Our interest is to analyze the influences of low-level feature contrast between a salient region and the rest of distractors, providing fixation localization characteristics and reaction time of landing inside the salient region. Eye-tracking data was collected from 34 participants during the viewing of a 230 images dataset. Results show that saliency is predominantly and distinctively influenced by: 1. feature type, 2. feature contrast, 3. temporality of fixations, 4. task difficulty and 5. center bias. This experimentation proposes a new psychophysical basis for saliency model evaluation using synthetic images. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.visres.2018.10.006 | Vision Research |
Keywords | DocType | Volume |
Visual attention,Psychophysics,Saliency,Task,Context,Contrast,Center bias,Low-level,Synthetic,Dataset | Journal | 154 |
ISSN | Citations | PageRank |
0042-6989 | 0 | 0.34 |
References | Authors | |
17 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Berga | 1 | 0 | 2.03 |
| Xose R. Fdez-Vidal | 2 | 99 | 14.82 |
| Xavier Otazu | 3 | 540 | 75.05 |
| V. Leborán | 4 | 13 | 2.33 |
| Xose Manuel Pardo | 5 | 126 | 13.25 |