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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/3139

Title: Space-variant spatio-temporal filtering of video for gaze visualization and perceptual learning
Authors: Dorr, Michael
Jarodzka, Halszka
Barth, Erhardt
Keywords: eye tracking
image processing
Issue Date: 2010
Publisher: ACM New York, NY, USA ©2010
Abstract: We 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.
Description: Dorr, 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.
URI: http://hdl.handle.net/1820/3139
ISBN: 978-1-60558-994-7 Order Number: 434101
Appears in Collections:1. LC: Publications and Preprints

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