Papers or posters from seminars, congresses, etc.

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https://hdl.handle.net/20.500.14417/1729

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Browsing Papers or posters from seminars, congresses, etc. by School "IE School of Science & Technology"

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    DJESTHESIA: Tangible Multimedia for DJs
    (ACM, 2025-07-15) Eduardo Castelló Ferrer; https://ror.org/02jjdwm75
    DJESTHESIA uses tangible interaction to craft real-time audiovisual multimedia, blending sound, visuals, and gestures into a unified live performance. The project supports four interaction modes: I) Knob changes music, where standard DJing is performed. II) Music changes visuals, where changes in the audio parameters done through the mixer have a direct impact in the visualizations representing the music (e.g., color palette). III) Gesture changes visuals, where gestures and body movements give the possibility to interact physically with the visual representation of the music (e.g., grab, release, throw). IV) Gesture changes music, where, gestures can convey information to an audio composition software to alter aspects of the music being played (e.g., EQs). The aim of DJESTHESIA is to transform the DJ into both a performer and a performance.
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    Tensor Approximation for Multidimensional and Multivariate Data
    (Springer Science and Business Media Deutschland GmbH, 2021) Pajarola, Renato; Suter, Susanne; Yang, Haiyang; Ballester, Rafael; Seventh Framework Programme; Swiss National Science Foundation; https://ror.org/02jjdwm75
    Tensor decomposition methods and multilinear algebra are powerful tools to cope with challenges around multidimensional and multivariate data in computer graphics,image processing and data visualization,in particular with respect to compact representation and processing of increasingly large-scale data sets. Initially proposed as an extension of the concept of matrix rank for 3 and more dimensions,tensor decomposition methods have found applications in a remarkably wide range of disciplines. We briefly review the main concepts of tensor decompositions and their application to multidimensional visual data. Furthermore,we will include a first outlook on porting these techniques to multivariate data such as vector and tensor fields.