<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hantao Liu</style></author><author><style face="normal" font="default" size="100%">Ingrid Heynderickx</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Studying the Added Value of Visual Attention in Objective Image Quality Metrics Based on Eye Movement Data</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE ICIP2009 International Conference on Image Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">11/2009</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://mmi.tudelft.nl/pub/hantao/ICIP2009.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Current research on image quality assessment tends to include visual attention in objective metrics to further enhance their performance. A variety of computational models of visual attention are implemented in different metrics and but their accuracy in representing human visual attention is not fully proved yet. Thus and to provide more accurate evidence on whether and to what extent visual attention can be beneficial for objective quality prediction and the use of â€œground truthâ€ visual attention data is highly desired. In this paper and the data of an eye-tracking experiment are integrated in two objective metrics well-known in literature. Experimental results demonstrate that there is indeed a gain in performance including visual attention in objective metrics. The amount of gain in performance tends to depend on the type of objective metric and image distortion.</style></abstract></record></records></xml>