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| Min Chen, Ralf Botchen, Rudy Hashim, Daniel Weiskopf, Thomas Ertl, Ian Thornton, "Visual Signatures in Video Visualization," IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 5, pp. 1093-1100, September-October, 2006. | |||
| BibTex | x | ||
| @article{ 10.1109/TVCG.2006.194, author = {Min Chen and Ralf Botchen and Rudy Hashim and Daniel Weiskopf and Thomas Ertl and Ian Thornton}, title = {Visual Signatures in Video Visualization}, journal ={IEEE Transactions on Visualization and Computer Graphics}, volume = {12}, number = {5}, issn = {1077-2626}, year = {2006}, pages = {1093-1100}, doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2006.194}, 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 - Visual Signatures in Video Visualization IS - 5 SN - 1077-2626 SP1093 EP1100 EPD - 1093-1100 A1 - Min Chen, A1 - Ralf Botchen, A1 - Rudy Hashim, A1 - Daniel Weiskopf, A1 - Thomas Ertl, A1 - Ian Thornton, PY - 2006 KW - Video visualization KW - volume visualization KW - flow visualization KW - human factors KW - user study KW - visual signatures KW - video processing KW - optical flow KW - GPU rendering. VL - 12 JA - IEEE Transactions on Visualization and Computer Graphics ER - | |||
[1] E. P. Bennett and L. McMillan, Proscenium: a framework for spatiotemporal video editing. In Proc. ACM Multimedia, pages 177–184, Berkeley, CA, 2003.
[2] R. P. Botchen, M. Chen, D. Weiskopf, and T. Ertl, GPU-assisted multifield video volume visualization. In Proc. International Workshop on Volume Graphics, pages 47–54, 135, 2006.
[3] P. Cavanagh, A. Labianca, and I. M. Thornton, Attention-based visual routines: Sprites. Cognition, 80: 47–60, 2001.
[4] R. Chellappa, Special section on video surveillance (editorial preface). IEEE Transactions on Pattern Analysis and Machine Intelligence, 22 (8): 745–746, 2000.
[5] R. Cutler, C. Shekhar, B. Burns, R. Chellappa, R. Bolles, and L. Davis, Monitoring human and vehicle activities using airborne video. In Proc. 28th Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, 1999.
[6] G. W. Daniel and M. Chen, Video visualization. In Proc. IEEE Visualization, pages 409–416, 2003.
[7] D. Dovey, Vector plots for irregular grids. In Proc. IEEE Visualization, pages 248–253, 1995.
[8] T. E. E. Durucan, Improved linear dependence and vector model for illumination invariant change detection. In Proc. SPIE, volume 4303, San Jose, CA, 2001.
[9] S. Fels, E. Lee, and K. Mase, Techniques for interactive video cubism. In Proc. 8th ACM International Conference on Multimedia (Posters), pages 368–370, 2000.
[10] R. B. Fisher, The PETS04 surveillance ground-truth data sets. In Proc. 6th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, pages 1–5, 2004.
[11] S. Guthe, S. Gumhold, and W. Straßer, Interactive visualization of volumetric vector fields using texture based particles. In Proc. WSCG Conference Proceedings, pages 33–41, 2002.
[12] A. Hertzmann and K. Perlin, Painterly rendering for video and interaction. In Proc. 1st International Symposium on Non-Photorealistic Animation and Rendering, pages 7–12, June 2000.
[13] V. Interrante and C. Grosch, Visualizing 3D flow. IEEE Computer Graphics and Applications, 18 (4): 49–53, 1998.
[14] R. V. Klassen and S. J. Harrington, Shadowed hedgehogs: A technique for visualizing 2D slices of 3D vector fields. In Proc. IEEE Visualization, pages 148–153, 1991.
[15] A. W. Klein, P. J. Sloan, R. A. Colburn, A. Finkelstein, and M. F. Cohen, Video cubism. Technical Report MSR-TR-2001-45, Microsoft Research, October 2001.
[16] R. S. Laramee, H. Hauser, H. Doleisch, B. Vrolijk, F. H. Post, and D. Weiskopf, The state of the art in flow visualization: Dense and texture-based techniques. Computer Graphics Forum, 23 (2): 143–161, 2004.
[17] A. Mack and I. Rock, Inattentional Blindness, MIT Press, Cambridge MA, 1998.
[18] N. V. Patel and I. K. Sethi, Video shot detection and characterization for video databases. Pattern Recognition, Special Issue on Multimedia, 30 (4): 583–592, 1997.
[19] M. I. Posner, C. R. R. Snyder, and B. J. Davidson, Attention and the detection of signals. Journal of Experimental Psychology: General, 109: 160–174, 1980.
[20] F. H. Post, B. Vrolijk, H. Hauser, R. S. Laramee, and H. Doleisch, The state of the art in flow visualization: Feature extraction and tracking. Computer Graphics Forum, 22 (4): 775–792, 2003.
[21] Z. W. Pylyshyn and R. W. Storm, Tracking multiple independent targets: Evidence for a parallel tracking mechanism. Spatial Vision, 3: 179–197, 1988.
[22] J. E. Raymond, K. L. Shapiro, and et al. Temporary suppression of visual processing in an RSVP task: An attentional blink. Journal of Experimental Psychology, HPP, 18 (3): 849–860, 1992.
[23] D. J. Simons and R. A. Rensink, Change blindness: past, present, and future. Trends in Cognitive Sciences, 9 (1): 16–20, 2005.
[24] C. G. M. Snock and M. Worring, Multimodal video indexing: a review of the state-of-the-art. Multimedia Tools and Applications, 2003.
[25] J. J. Thomas and K. A. Cook, editors. Illuminating the Path: The Research and Development Agenda for Visual Analytics, IEEE Press, 2005.
[26] D. Weiskopf and G. Erlebacher, Overview of flow visualization. In C. D. Hansen and C. R. Johnson, editors, The Visualization Handbook, pages 261–278. Elsevier, Amsterdam, 2005.

