1. Focus of Attention for Volumetric Data Inspection Ivan Viola 1, Miquel Feixas 2, Mateu Sbert 2, and Meister Eduard Gröller 1 1 Institute of Computer Graphics and Algorithms Vienna University of Technology 2 Institute of Informatics and Applications University of Girona

2. I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 1 Goal Input: known and classified volumetric data High level request: show me feature X Output: visually pleasing focusing at X

3. I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 2 Focusing Considerations Focus discrimination Characteristic viewpoint Smart focusing approach

4. I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 3 Visual Focus Discrimination Levels of sparseness Dense for focus to visually pop-out Sparse for context visually suppressed Cut-aways to unveil internal features vessels intestinekidneys

5. I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 4 Estimation of Characteristic Viewpoints o 2 o 3 o 1 importance distribution o 1 o 2 o 3 object selection by user v 1 v 2 v 3 o 1 o 2 o 3 visibility estimation image-space weight p(v 1 ) n ) p(o 1 |v 1 ) p(o m |v n ) p(o 1 ) m )... I(v i,O) = p(o j |v i ) log Σ j m p(o j |v i ) p(o j )... information-theoretic framework for optimal viewpoint estimation

6. I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 5 Guided Navigation Focusing at feature X Discrimination of X from context Change to a characteristic viewpoint of X Refocusing from feature X to feature Y De-emphasis of feature X Emphasis of feature Y Change to general characteristic viewpoint Change to characteristic viewpoint of Y

7. I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 6 Refocusing o 1 o 2 o 3 v c v 1 v 2 o 1 o 2

8. I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 7 Refocusing

9. I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 8 Conclusions Often no need to have all degrees of freedom Users need smart tools One image is more than thousands words Visual story says more than thousand images

10. I. Viola, M. Feixas, M. Sbert, and M. E. Gröller 9 Proof Any Questions?

11. Thank you for your attention! Any Questions?