Importance-Driven Focus of Attention

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	Similar Articles Articles by Ivan Viola Articles by Miquel Feixas Articles by Mateu Sbert Articles by Meister Eduard Gr?ller

September-October 2006 (vol. 12 no. 5)

pp. 933-940

	ASCII Text	x
	Ivan Viola, Miquel Feixas, Mateu Sbert, Meister Eduard Gr?ller, "Importance-Driven Focus of Attention," IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 5, pp. 933-940, September-October, 2006.

	BibTex	x
	@article{ 10.1109/TVCG.2006.152, author = {Ivan Viola and Miquel Feixas and Mateu Sbert and Meister Eduard Gr?ller}, title = {Importance-Driven Focus of Attention}, journal ={IEEE Transactions on Visualization and Computer Graphics}, volume = {12}, number = {5}, issn = {1077-2626}, year = {2006}, pages = {933-940}, doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2006.152}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - JOUR JO - IEEE Transactions on Visualization and Computer Graphics TI - Importance-Driven Focus of Attention IS - 5 SN - 1077-2626 SP933 EP940 EPD - 933-940 A1 - Ivan Viola, A1 - Miquel Feixas, A1 - Mateu Sbert, A1 - Meister Eduard Gr?ller, PY - 2006 KW - Illustrative visualization KW - volume visualization KW - interacting with volumetric datasets KW - characteristic viewpoint estimation KW - focus+context techniques VL - 12 JA - IEEE Transactions on Visualization and Computer Graphics ER -

Ivan Viola, IEEE

Miquel Feixas, IEEE

Mateu Sbert, IEEE

Meister Eduard Gr?ller, IEEE

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2006.152

This paper introduces a concept for automatic focusing on features within a volumetric data set. The user selects a focus, i.e., object of interest, from a set of pre-defined features. Our system automatically determines the most expressive view on this feature. A characteristic viewpoint is estimated by a novel information-theoretic framework which is based on the mutual information measure. Viewpoints change smoothly by switching the focus from one feature to another one. This mechanism is controlled by changes in the importance distribution among features in the volume. The highest importance is assigned to the feature in focus. Apart from viewpoint selection, the focusing mechanism also steers visual emphasis by assigning a visually more prominent representation. To allow a clear view on features that are normally occluded by other parts of the volume, the focusing for example incorporates cut-away views.}

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Index Terms:

Illustrative visualization, volume visualization, interacting with volumetric datasets, characteristic viewpoint estimation, focus+context techniques

Citation:

Ivan Viola, Miquel Feixas, Mateu Sbert, Meister Eduard Gr?ller, "Importance-Driven Focus of Attention," IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 5, pp. 933-940, Sept. 2006, doi:10.1109/TVCG.2006.152

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