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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DEAP: A Database for Emotion Analysis ;Using Physiological Signals
Sander Koelstra,Christian Mühl,Mohammad Soleymani,Jong-Seok Lee,Ashkan Yazdani,Touradj Ebrahimi,Thierry Pun,Anton Nijholt,Ioannis Patras +8 more
TL;DR: A multimodal data set for the analysis of human affective states was presented and a novel method for stimuli selection is proposed using retrieval by affective tags from the last.fm website, video highlight detection, and an online assessment tool.
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A Multimodal Database for Affect Recognition and Implicit Tagging
TL;DR: Results show the potential uses of the recorded modalities and the significance of the emotion elicitation protocol and single modality and modality fusion results for both emotion recognition and implicit tagging experiments are reported.
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Rotation, scale and translation invariant spread spectrum digital image watermarking
TL;DR: In this paper, a Fourier-Mellin-based approach is used to construct watermarks which are designed to be unaffected by any combination of rotation and scale transformations, and a novel method of CDMA spread spectrum encoding is introduced which allows one to embed watermark messages of arbitrary length and which need only a secret key for decoding.
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A new method for grey-level picture thresholding using the entropy of the histogram
TL;DR: It is shown that, by an a priori maximation of an entropy determined a posteriori, a picture can successfully be thresholded into a two-level image.
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Performance evaluation in content-based image retrieval: overview and proposals
TL;DR: The advantages and shortcomings of the performance measures currently used in CBIR are discussed and proposals for a standard test suite similar to that used in IR at the annual Text REtrieval Conference (TREC), are presented.