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dc.contributor.authorDorr, Michael-
dc.contributor.authorJarodzka, Halszka-
dc.contributor.authorBarth, Erhardt-
dc.identifier.isbn978-1-60558-994-7 Order Number: 434101-
dc.descriptionDorr, M., Jarodzka, H., & Barth, E. (2010). Space-variant spatio-temporal filtering of video for gaze visualization and perceptual learning. In C. Morimoto & H. Instance (Eds.), Proceedings of the 2010 Symposium on Eye Tracking Research & Applications ETRA ’10 (pp. 307-314). New York, NY: ACM.en_US
dc.description.abstractWe introduce an algorithm for space-variant filtering of video based on a spatio-temporal Laplacian pyramid and use this algorithm to render videos in order to visualize prerecorded eye movements. Spatio-temporal contrast and colour saturation are reduced as a function of distance to the nearest gaze point of regard, i.e. non- fixated, distracting regions are filtered out, whereas fixated image regions remain unchanged. Results of an experiment in which the eye movements of an expert on instructional videos are visualized with this algorithm, so that the gaze of novices is guided to relevant image locations. Results show that this visualization technique facilitates the novices’ perceptual learning.en_US
dc.publisherACM New York, NY, USA ©2010en_US
dc.subjecteye trackingen_US
dc.subjectimage processingen_US
dc.titleSpace-variant spatio-temporal filtering of video for gaze visualization and perceptual learningen_US
dc.typeConference paperen_US
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