The Tempo-Structural Fisheye Slider for Navigation in Web Lectures

Mertens, Robert; Pospiech, Sebastian; Wiesen, Christoph; Ketterl, Markus

doi:10.1109/ism.2011.98

Cited by 2 publications

(1 citation statement)

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“…• Timelines: this visualization takes advantage of time continuous nature of certain multimedia presentations. This is achieved by plotting time-centered information in a 1D or 2D visualization, for instance: timelines decorated with annotations of either low level or high level media element features [Hauglid and Heggland, 2008], scrubbing time sliders augmented with keyframes or fisheye visualizations [Mertens et al, 2011], or plots of low-level signals along the video timeline [Hagedorn et al, 2008];…”

Section: Visualizationmentioning

confidence: 99%

Models and operators for extension of active multimedia documents via annotations

Martins¹

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Primarily, I acknowledge my advisor, Prof. Maria da Graça C. Pimentel, for the continuous support and guidance during the development of this dissertation. Thanks for helping me make this dissertation possible. I also thank CNPq for financing my research. Thanks to the evaluation committee for the important insights that contributed to improve the final version of this text. Thanks to research colleagues that have collaborated, directly or indirectly, to the discussions and experiments that lead to this research: Didier Vega-Oliveros, Lílian Oliveira e Diogo Pedrosa. I extend acknowledgements to the researchers from the SEN-5 group at CWI, who, during my internship with them, have contributed in important ways to my research: Pablo Cesar, Rodrigo Guimarães, Jack Jansen e Dick Bulterman. Finally, I thank my family for the support through this journey. First, my mother, Arlete, for standing up for me along my entire academic career and believing in my choices. My grandmother, Seide, whose early support in my education made it possible that I reached this milestone. In addition, Mario Liziér, for the understanding, support, and encouragement whenever I needed.

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Section: Visualizationmentioning

confidence: 99%