2007
Woodring, Jonathan; Shen, Han-Wei
Incorporating highlighting animations into static visualizations Proceedings Article
In: Electronic Imaging 2007, pp. 649503–649503, International Society for Optics and Photonics 2007.
Abstract | Links | BibTeX | Tags: animation, highlighting, visualization
@inproceedings{woodring2007incorporating,
title = {Incorporating highlighting animations into static visualizations},
author = {Jonathan Woodring and Han-Wei Shen},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/IncorporatingHighlightingAnimationsIntoStaticVisualizations.pdf},
year = {2007},
date = {2007-01-01},
booktitle = {Electronic Imaging 2007},
pages = {649503--649503},
organization = {International Society for Optics and Photonics},
abstract = {Rendering a lot of data results in cluttered visualizations. It is difficult for a user to find regions of interest from contextual data especially when occlusion is considered. We incorporate animations into visualization by adding positional motion and opacity change as a highlighting mechanism. By leveraging our knowledge on motion perception, we can help a user to visually filter out her selected data by rendering it with animation. Our framework of adding animation is the animation transfer function, where it provides a mapping from data and animation frame index to a changing visual property. The animation transfer function describes animations for user selected regions of interest. In addition to our framework, we explain the implementation of animations as a modification of the rendering pipeline. The animation rendering pipeline allows us to easily incorporate animations into existing software and hardware based volume renderers.},
keywords = {animation, highlighting, visualization},
pubstate = {published},
tppubtype = {inproceedings}
}
Rendering a lot of data results in cluttered visualizations. It is difficult for a user to find regions of interest from contextual data especially when occlusion is considered. We incorporate animations into visualization by adding positional motion and opacity change as a highlighting mechanism. By leveraging our knowledge on motion perception, we can help a user to visually filter out her selected data by rendering it with animation. Our framework of adding animation is the animation transfer function, where it provides a mapping from data and animation frame index to a changing visual property. The animation transfer function describes animations for user selected regions of interest. In addition to our framework, we explain the implementation of animations as a modification of the rendering pipeline. The animation rendering pipeline allows us to easily incorporate animations into existing software and hardware based volume renderers.
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1.
Woodring, Jonathan; Shen, Han-Wei
Incorporating highlighting animations into static visualizations Proceedings Article
In: Electronic Imaging 2007, pp. 649503–649503, International Society for Optics and Photonics 2007.
@inproceedings{woodring2007incorporating,
title = {Incorporating highlighting animations into static visualizations},
author = {Jonathan Woodring and Han-Wei Shen},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/IncorporatingHighlightingAnimationsIntoStaticVisualizations.pdf},
year = {2007},
date = {2007-01-01},
booktitle = {Electronic Imaging 2007},
pages = {649503--649503},
organization = {International Society for Optics and Photonics},
abstract = {Rendering a lot of data results in cluttered visualizations. It is difficult for a user to find regions of interest from contextual data especially when occlusion is considered. We incorporate animations into visualization by adding positional motion and opacity change as a highlighting mechanism. By leveraging our knowledge on motion perception, we can help a user to visually filter out her selected data by rendering it with animation. Our framework of adding animation is the animation transfer function, where it provides a mapping from data and animation frame index to a changing visual property. The animation transfer function describes animations for user selected regions of interest. In addition to our framework, we explain the implementation of animations as a modification of the rendering pipeline. The animation rendering pipeline allows us to easily incorporate animations into existing software and hardware based volume renderers.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rendering a lot of data results in cluttered visualizations. It is difficult for a user to find regions of interest from contextual data especially when occlusion is considered. We incorporate animations into visualization by adding positional motion and opacity change as a highlighting mechanism. By leveraging our knowledge on motion perception, we can help a user to visually filter out her selected data by rendering it with animation. Our framework of adding animation is the animation transfer function, where it provides a mapping from data and animation frame index to a changing visual property. The animation transfer function describes animations for user selected regions of interest. In addition to our framework, we explain the implementation of animations as a modification of the rendering pipeline. The animation rendering pipeline allows us to easily incorporate animations into existing software and hardware based volume renderers.