My work uses EEG data to determine the perceptual quality of videos and images which is of paramount importance for most graphics algorithms. This is especially important given the gap between perceived quality of an image and physical accuracy.
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Maryam Mustafa is a researcher at the Computer Graphics Lab of Technische Universität Braunschweig's Computer Science Department. Her research interests include human-computer interaction, perceptual graphics, and computer graphics and cognition. Mustafa received an MEng in computer science from Cornell University, and a PhD from the Technische Universität Braunschweig.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -My work uses EEG data to determine the perceptual quality of videos and images which is of paramount importance for most graphics algorithms. This is especially important given the gap between perceived quality of an image and physical accuracy. This thesis begins by introducing the fundamentals of EEG measurements and its neurophysiological basis. Following this introduction, I present a novel method for determining perceived image and video quality from a single trial of EEG data in response to typical rendering artifacts. I also explore the use of EEG for direct neural feedback and present a neural-feedback loop for the optimization of rendering parameters for images and videos. I conclude with an outlook on what the future of EEG in graphics may hold. 144 pp. Englisch. N° de réf. du vendeur 9783738640236
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. My work uses EEG data to determine the perceptual quality of videos and images which is of paramount importance for most graphics algorithms. This is especially important given the gap between perceived quality of an image and physical accuracy. . N° de réf. du vendeur 103082991
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - My work uses EEG data to determine the perceptual quality of videos and images which is of paramount importance for most graphics algorithms. This is especially important given the gap between perceived quality of an image and physical accuracy. This thesis begins by introducing the fundamentals of EEG measurements and its neurophysiological basis. Following this introduction, I present a novel method for determining perceived image and video quality from a single trial of EEG data in response to typical rendering artifacts. I also explore the use of EEG for direct neural feedback and present a neural-feedback loop for the optimization of rendering parameters for images and videos. I conclude with an outlook on what the future of EEG in graphics may hold. N° de réf. du vendeur 9783738640236
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