Print Email Facebook Twitter The Effect of Task on Visual Attention and its Application to Image Quality Assessment Metrics Title The Effect of Task on Visual Attention and its Application to Image Quality Assessment Metrics Author Bos, L.W. Contributor Heynderickx, I. (mentor) Alers, H. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Man-Machine Interaction Date 2010-03-12 Abstract Determining the perceived quality of a digital image can be done by showing it to a large group of people and ask them to rate its quality. However, this method is too cumbersome and time-consuming for most applications. Therefore, automatic metrics have been developed, which are able to objectively predict the perceived image quality without the need for any human input. Such image quality assessment metrics average the predicted quality across a whole image into a single quality value. To improve their performance, their predicted image quality is weighted with visual attention information: regions in the image that receive more attention are weighted more heavily in the quality assessment. Furthermore, the effect of a quality assessment task on visual attention is investigated via a large scale subjective experiment. The main findings are that 1) people who are looking freely pay more attention to the region of interest than people who are scoring the image quality, 2) applying the visual attention of people who are looking freely to image quality assessment metrics yields a higher performance gain than the visual attention of people who are scoring the image quality, and 3) the predicted image quality in the region of interest has a more positive influence on the overall predicted image quality than the quality in the background. In short, visual attention information can be used to increase the performance of image quality assessment metrics. Subject visual attentionimage quality assessmenttasksaliencyregion of interest To reference this document use: http://resolver.tudelft.nl/uuid:55c7d406-5699-4e7a-b1fe-8448b461d18d Part of collection Student theses Document type master thesis Rights (c) 2010 Bos, L.W. Files PDF MSc_Thesis_Report_-_LW_Bos.pdf 3.23 MB Close viewer /islandora/object/uuid:55c7d406-5699-4e7a-b1fe-8448b461d18d/datastream/OBJ/view