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Interactions of visual attention and quality perception
| Content Provider | CiteSeerX |
|---|---|
| Author | Ingrid Heynderickx, A. Judith Redi, A. Rodolfo Zunino, B. Hantao Liu, A. |
| Abstract | Several attempts to integrate visual saliency information in quality metrics are described in literature, albeit with contradictory results. The way saliency is integrated in quality metrics should reflect the mechanisms underlying the interaction between image quality assessment and visual attention. This interaction is actually two-fold: (1) image distortions can attract attention away from the Natural Scene Saliency (NSS), and (2) the quality assessment task in itself can affect the way people look at an image. A subjective study was performed to analyze the deviation in attention from NSS as a consequence of being asked to assess the quality of distorted images, and, in particular, whether, and if so how, this deviation depended on the distortion kind and/or amount. Saliency maps were derived from eye-tracking data obtained during scoring distorted images, and they were compared to the corresponding NSS, derived from eye-tracking data obtained during freely looking at high quality images. The study revealed some structural differences between the NSS maps and the ones obtained during quality assessment of the distorted images. These differences were related to the quality level of the images; the lower the quality, the higher the deviation from the NSS was. The main change was identified as a shrinking of the region of interest, being most evident at low quality. No evident role for the kind of distortion in the change in saliency was found. Especially at low quality, the quality assessment task seemed to prevail on the natural attention, forcing it to deviate in order to better evaluate the impact of artifacts. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Way People Main Change Low Quality Subjective Study Eye-tracking Data Quality Level Evident Role High Quality Image Saliency Map Natural Scene Saliency Natural Attention Image Quality Assessment Several Attempt Visual Saliency Information Image Distortion Corresponding N Quality Perception Quality Assessment Visual Attention Quality Metric Way Saliency N Map Structural Difference Distortion Kind Distorted Image Quality Assessment Task Contradictory Result |
| Content Type | Text |
