Semi-Automatic time-series transfer functions via temporal clustering and sequencing

Computer Graphics Forum

Volumn 28, Issue 3, 2009, Pages 791-798

  Woodring, Jonathan ^a,b   Shen, Han Wei ^b  

^a LOS ALAMOS NATIONAL LABORATORY   (United States)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER GRAPHICS;

DYNAMIC FEATURES; RANGE DISTRIBUTION; SEMI-AUTOMATICS; SPACE ACTIVITIES; TEMPORAL CLUSTERING; TIME-VARYING DATA; TIME-VARYING TRANSFER FUNCTIONS; VALUE DISTRIBUTION;

TRANSFER FUNCTIONS;

EID: 68549120990     PISSN: 01677055     EISSN: 14678659     Source Type: Journal    
DOI: 10.1111/j.1467-8659.2009.01472.x     Document Type: Article

References (22)

1. [AFM06] AKIBA H., FOUT N., MA K.-L.: Simultaneous classification of time-varying volume data based on the time histogram. In Eurographics Visualization Symposium (2006), pp. 18.
2. [BPS] BAJAJ C., PASCUCCI V., SCHIKORE D.: The contour spectrum. In Proceedings of Visualization '97.
3. [DMG*04] DOLEISCH H., MAYER M., GASSER M., WANKER R., HAUSER H.: Case study: Visual analysis of complex, timedependent simulation results of a diesel exhaust system. In Proceedings of the 2004 Eurographics/IEE TVCG Symposium on Visualization (2004), pp. 91-96.
4. [FMHC07] FANG Z., MÖLLER T., HARMARNEH G., CELLER A.: Visualization and exploration of spatio-temporal medical image data sets. Proceedings of Graphics Interface 2007.
5. [HHKP96] HE T., HONG L., KAUFMAN A., PFISTER H.: Generation of transfer functions with stochastic search techniques. In Seventh IEEE Visualization 1996 (VIS'96) (1996), p. 227.
6. [HW79] HARTIGAN J. A., WONG M. A.: Algorithm as 136: A £-means clustering algorithm. Applied Statistics 28, 1 (1979), 100-108.
7. [JKM01] JANKUN-KELLY T., MA K.-L.: Study of transfer function generation for time-varying volume data. In Proceedings of Volume Graphics 2001 Workshop (2001), pp. 51-65.
8. [JSW] JI G., SHEN H.-W., WENGER R.: Volume tracking using higher dimensional isosurfacing. In IEEE Visualization, 2003.
9. [KBH04] KOSARA R., BENDIX F., HAUSER H.: Timehistograms for large, time-dependent data. In Proceedings of the 2004 Eurographics/IEEE TVCG Symposium on Visualization (2004), pp. 45-54, 340.
10. [KD98] KlNDLMANN G., DURKIN J.: Semi-automatic generation of transfer functions for direct volume rendering. In IEEE Symposium on Volume Visualization, 1998 (Oct. 1998), pp. 79-86, 170.
11. [KKHO1] KNISS J., KlNDLMANN G., HANSEN C.: Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets. In Visualization, 2001. VIS '01. Proceedings (2001), pp. 255-562.
12. [Lev88] LEVOY M.: Display of surfaces from volume data. IEEE Computer Graphics and Applications 8, 3 ( 1988), 29-37.
13. [LS09] LEE T.-Y., SHEN H.-W.: Visualizing time-varying features with tac-based distance fields. In IEEE Pacific Visualization Symposium 2009 (2009).
14. [Ma03] MA K.-L.: Visualizing time-varying volume data. Computing in Science and Engineering 5, 2 (2003).
15. [PHHH05] PETERSCH B., HADWIGER M., HÄUSER H., HÖNIGMANN D.: Real time computation and temporal coherence of opacity transfer functions for direct volume rendering of ultrasound data. Computerized Medical Imaging and Graphics 29, 1 (2005), 53-63.
16. [PVHL03] POST F. H., VROLIJK B., HÄUSER H., LARAMEE R. S.: The state of the art in flow visualization: Feature extraction and tracking. Computer Graphics Forum 22,4 (203), 775-792.
17. [RPS01] REINDERS F., POST F. H., SPOELDER H. J. W.: Visualization of time-dependent data with feature tracking and event detection. The Visual Computer 17, 1 (2001), 55-71.
18. [SW97] SILVER D., WANG X.: Tracking and visualizing turbulent 3d features. IEEE Transactions on Visualization and Computer Graphics 3, 2 (June 1997), 129-141.
19. [TM05] TZENG F.-Y., MA K.-L.: Intelligent feature extraction and tracking for visualizing large-scale 4d flow simulations. In SC '05: Proceedings of the 2005 ACM/IEEE conference on Supercomputing (2005), p. 6.
20. [vWvS99] VAN WIJK J. J., VAN SELOW E. R.: Cluster and calendar based visualization of time series data. In INFO VIS (1999), pp. 4-9.
21. [WS09] WOODRING J., SHEN H.-W.: Multiscale time activity data exploration via temporal clustering visualization spreadsheet. IEEE Transactions on Visualization and Computer Graphics 15, 1 (Jan.-Feb. 2009), 123-137.
22. [WYM] WANG C., YU H. Y., MA K.-L.: Importance-driven time-varying data visualization. IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization / Information Visualization 2008) 14, 6.