State of the Art Report on Video-Based Graphics and Video Visualization

  • Authors:

  • R. Borgo;M. Chen;B. Daubney;E. Grundy;G. Heidemann;B. Höferlin;M. Höferlin;H. Leitte;D. Weiskopf;X. Xie

  • Affiliations:

  • Swansea University, UK r.borgo@swansea.ac.uk, b.daubney@swansea.ac.uk, csed@swansea.ac.uk, x.xie@swansea.ac.uk;Oxford University, UK min.chen@oerc.ox.ac.uk;Swansea University, UK r.borgo@swansea.ac.uk, b.daubney@swansea.ac.uk, csed@swansea.ac.uk, x.xie@swansea.ac.uk;Swansea University, UK r.borgo@swansea.ac.uk, b.daubney@swansea.ac.uk, csed@swansea.ac.uk, x.xie@swansea.ac.uk;Universität Osnabrück, Germany gheidema@uni-osnabrueck.de;Universität Stuttgart, Germany benjamin.hoeferlin@vis.uni-stuttgart.de, markus.hoeferlin@vis.uni-stuttgart.de, weiskopf@visus.uni-stuttgart.de;Universität Stuttgart, Germany benjamin.hoeferlin@vis.uni-stuttgart.de, markus.hoeferlin@vis.uni-stuttgart.de, weiskopf@visus.uni-stuttgart.de;Universität Heidelberg, Germany heike.leitte@iwr.uni-heidelberg.de;Universität Stuttgart, Germany benjamin.hoeferlin@vis.uni-stuttgart.de, markus.hoeferlin@vis.uni-stuttgart.de, weiskopf@visus.uni-stuttgart.de;Swansea University, UK r.borgo@swansea.ac.uk, b.daubney@swansea.ac.uk, csed@swansea.ac.uk, x.xie@swansea.ac.uk

  • Venue:
  • Computer Graphics Forum
  • Year:
  • 2012

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Abstract

In recent years, a collection of new techniques which deal with video as input data, emerged in computer graphics and visualization. In this survey, we report the state of the art in video-based graphics and video visualization. We provide a review of techniques for making photo-realistic or artistic computer-generated imagery from videos, as well as methods for creating summary and/or abstract visual representations to reveal important features and events in videos. We provide a new taxonomy to categorize the concepts and techniques in this newly emerged body of knowledge. To support this review, we also give a concise overview of the major advances in automated video analysis, as some techniques in this field (e.g. feature extraction, detection, tracking and so on) have been featured in video-based modelling and rendering pipelines for graphics and visualization. © 2012 Wiley Periodicals, Inc.