TY - CHAP A1 - Eichner, Matthias A1 - Wolff, Matthias A1 - Ohnewald, Sebastian A1 - Hoffmann, Rüdiger T1 - Speech synthesis using stochastic Markov graphs T2 - Proceedings, International Conference on Acoustics, Speech and Signal Processing, 7 - 11 May 2001, Salt Palace Convention Center, Salt Lake City, Utah, USA Y1 - 2001 SN - 0-7803-7041-4 U6 - https://doi.org/10.1109/ICASSP.2001.941043 SP - 829 EP - 832 PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Peter, Pascal A1 - Hoffmann, Sebastian A1 - Nedwed, Frank A1 - Hoeltgen, Laurent A1 - Weickert, Joachim T1 - From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs T2 - Image and Video Technology, 7th Pacific-Rim Symposium, PSIVT 2015, Auckland, New Zealand, November 25-27, 2015 N2 - For inpainting with linear partial differential equations (PDEs) such as homogeneous or biharmonic diffusion, sophisticated data optimisation strategies have been found recently. These allow high-quality reconstructions from sparse known data. While they have been explicitly developed with compression in mind, they have not entered actual codecs so far: Storing these optimised data efficiently is a nontrivial task. Since this step is essential for any competetive codec, we propose two new compression frameworks for linear PDEs: Efficient storage of pixel locations obtained from an optimal control approach, and a stochastic strategy for a locally adaptive, tree-based grid. Suprisingly, our experiments show that homogeneous diffusion inpainting can surpass its often favoured biharmonic counterpart in compression. Last but not least, we demonstrate that our linear approach is able to beat both JPEG2000 and the nonlinear state-of-the-art in PDE-based image compression. KW - Linear diffusion inpainting KW - Homogeneous KW - Biharmonic KW - Image compression KW - Probabilistic tree-densification Y1 - 2016 SN - 978-3-319-29450-6 U6 - https://doi.org/10.1007/978-3-319-29451-3_6 SP - 63 EP - 74 PB - Springer CY - Cham ER - TY - CHAP A1 - Meyer-Baese, Anke A1 - Barbu, Adrian A1 - Lobbes, Marc A1 - Hoffmann, Sebastian A1 - Burgeth, Bernhard A1 - Kleefeld, Andreas A1 - Meyer-Baese, Uwe ED - Szu, Harold H. ED - Dai, Liyi ED - Zheng, Yufeng T1 - Computer-aided diagnosis of breast MRI with high accuracy optical flow estimation T2 - Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII N2 - Non-mass enhancing lesions represent a challenge for the radiological reading. They are not well-defined in both morphology (geometric shape) and kinetics (temporal enhancement) and pose a problem to lesion detection and classification. To enhance the discriminative properties of an automated radiological workflow, the correct preprocessing steps need to be taken. In an usual computer-aided diagnosis (CAD) system, motion compensation plays an important role. To this end, we employ a new high accuracy optical flow based motion compensation algorithm with robustification variants. An automated computer-aided diagnosis system evaluates the atypical behavior of these lesions, and additionally considers the impact of non-rigid motion compensation on a correct diagnosis. Y1 - 2015 U6 - https://doi.org/10.1117/12.2181815 PB - SPIE CY - Bellingham, Wash. ER - TY - CHAP A1 - Eichner, Matthias A1 - Ohnewald, Sebastian A1 - Wolff, Matthias A1 - Hoffmann, Rüdiger T1 - Anwendung Stochastischer Markovgraphen in einem integrierten Spracherkennungs- und -synthesesystem T2 - Fortschritte der Akustik - DAGA 2001, 27. Jahrestagung für Akustik, vom 26. bis zum 29. März auf dem Gelände der Technischen Universität Hamburg-Harburg, TUHH Y1 - 2001 SN - 3-9804568-9-7 SP - 560 EP - 561 PB - DEGA CY - Oldenburg ER - TY - GEN A1 - Labs, Annika A1 - Reich, Theresa A1 - Schulenburg, Helene A1 - Boennen, Manuel A1 - Gehrke, Mareike A1 - Golz, Madleen A1 - Hartigs, Benita A1 - Hoffmann, Nico A1 - Keil, Sebastian A1 - Perlow, Malú A1 - Peukmann, Anne Katrin A1 - Rabe, Lea A1 - Sobbe, Franca-Rosa von A1 - Hanke, Michael T1 - Portrayed emotions in the movie "Forrest Gump" T2 - F1000Research N2 - Here we present a dataset with a description of portrayed emotions in the movie ”Forrest Gump”. A total of 12 observers independently annotated emotional episodes regarding their temporal location and duration. The nature of an emotion was characterized with basic attributes, such as arousal and valence, as well as explicit emotion category labels. In addition, annotations include a record of the perceptual evidence for the presence of an emotion. Two variants of the movie were annotated separately: 1) an audio-movie version of Forrest Gump that has been used as a stimulus for the acquisition of a large public functional brain imaging dataset, and 2) the original audio-visual movie. We present reliability and consistency estimates that suggest that both stimuli can be used to study visual and auditory emotion cue processing in real-life like situations. Raw annotations from all observers are publicly released in full in order to maximize their utility for a wide range of applications and possible future extensions. In addition, aggregate time series of inter-observer agreement with respect to particular attributes of portrayed emotions are provided to facilitate adoption of these data. KW - General Pharmacology, Toxicology and Pharmaceutics KW - General Immunology and Microbiology KW - General Biochemistry, Genetics and Molecular Biology KW - General Medicine Y1 - 2015 U6 - https://doi.org/10.12688/f1000research.6230.1 SN - 2046-1402 VL - 4 ER -