As part of its dissemination activities, the NoE will present the multimedia expertise of its different teams through highly visual demonstrations and videos.
Some live demos will for instance allow visitors to play around with Maps of Music using PlaySOM, listening to them, exploring musical landscapes, and even creating maps of their own. They will also feature PocketSOMPlayer for mobile devices (TU-Wien), 3D-virtual Worlds presenting SOMs (EC3) and Video-Clip Copy Detection (INRIA).
Other presentations will include Shaping 3D Multimedia Environments, Real-Time Audio-Visual Automatic Speech Recognition Demonstrator, Movie Summarization and Skimming Demonstrator, Dynamic Texture Detection, Image Segmentation with Shape Priors, etc.
MUSCLE aims at establishing and fostering closer collaboration between research groups in multimedia data mining and machine learning. The Network integrates the expertise of over forty research groups working on image and video processing, speech and text analysis, statistics and machine learning. The goal is to explore the full potential of statistical learning and cross-modal interaction for the (semi-)automatic generation of robust meta-data with high semantic value for multimedia documents.
The Network has launched several showcasing projects, whose results will be presented by the MUSCLE community throughout 2007.
The MUSCLE booth at CeBIT will be located in Hall 9, Stand A14/1, future parc.
Robots as Tools and Partners in Rehabilitation
17.08.2018 | Albert-Ludwigs-Universität Freiburg im Breisgau
Low bandwidth? Use more colors at once
17.08.2018 | Purdue University
New design tool automatically creates nanostructure 3D-print templates for user-given colors
Scientists present work at prestigious SIGGRAPH conference
Most of the objects we see are colored by pigments, but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic, and...
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
Proteins must be folded correctly to fulfill their molecular functions in cells. Molecular assistants called chaperones help proteins exploit their inbuilt folding potential and reach the correct three-dimensional structure. Researchers at the Max Planck Institute of Biochemistry (MPIB) have demonstrated that actin, the most abundant protein in higher developed cells, does not have the inbuilt potential to fold and instead requires special assistance to fold into its active state. The chaperone TRiC uses a previously undescribed mechanism to perform actin folding. The study was recently published in the journal Cell.
Actin is the most abundant protein in highly developed cells and has diverse functions in processes like cell stabilization, cell division and muscle...
17.08.2018 | Event News
08.08.2018 | Event News
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17.08.2018 | Physics and Astronomy
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17.08.2018 | Life Sciences