T
Thierry Pun
Researcher at University of Geneva
Publications - 358
Citations - 17941
Thierry Pun is an academic researcher from University of Geneva. The author has contributed to research in topics: Digital watermarking & Watermark. The author has an hindex of 49, co-authored 358 publications receiving 15919 citations. Previous affiliations of Thierry Pun include National Institutes of Health & École Polytechnique Fédérale de Lausanne.
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Journal Article
Optimal background estimation in EELS
TL;DR: It is shown how to achieve the background law below core edge energy in a way that provides the maximum signal-to-noise ratio by using a maximum likelihood (ML) estimation technique which provides unbiased and minimum mean square error estimates of all parameters of interest.
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Emotion Feedback During Computer-mediated Collaboration: Effects on Self-Reported Emotions and Perceived Interaction
TL;DR: The effect of an Emotion Awareness Tool (EAT) designed to facilitate the sharing of emotions between partners, on the perceived emotions after collaboration and the perceived quality of the interaction is reported on.
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On the use of the auditory pathway to represent image scenes in real-time
TL;DR: The system principles of design and several experiments that have been carried out by several blindfolded persons with See ColOr prototypes related to static pictures on a tablet and simple video images, including the pairing of colored socks and following a colored serpentine painted on the ground are presented.
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Assessment of Computer-Supported Collaborative Processes Using Interpersonal Physiological and Eye-Movement Coupling
TL;DR: Results show that the two coupling measures can be used to predict collaborative processes such as grounding and convergence, a major step toward the development of remote collaborative interfaces able to adapt to the users' social interactions.
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Optimized wavelet domain watermark embedding strategy using linear programming
TL;DR: Invisible Digital watermarks have been proposed as a method for discouraging illicit copying and distribution of copyright material and several approaches based on the wavelet transform have ben proposed to address the problem of image water marking.