NewsLab: Exploratory broadcast news video analysis

VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings

Volumn , Issue , 2007, Pages 123-130

  Ghoniem, Mohammad ^a   Luo, Dongning ^a   Yang, Jing ^a   Ribarsky, William ^a  

^a UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE   (United States)

Author keywords

Animation; Broadcast video analysis; Clustering; Comparative analysis; Large data exploration; Time filtering

Indexed keywords

BROADCAST NEWS VIDEO; CASE STUDIES; EMERGING TOPICS; EXPLORATORY VISUALIZATIONS; KEYWORD-BASED SEARCH; LARGE SCALES; MULTIRESOLUTION (MR); VIDEO SEGMENTS; VISUAL ANALYTICS;

ANIMATION; INFORMATION RETRIEVAL SYSTEMS; RADIO BROADCASTING;

NAVIGATION;

EID: 47349087283     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VAST.2007.4389005     Document Type: Conference Paper

References (16)

1. M. Ankerst, S. Berchtold, and D. Keim. Similarity clustering of dimensions for an enhanced visualization of multidimensional data. In Proc. of the IEEE Symposium on Information Visualization, pages 52-60. IEEE Computer Society, 1998.
2. C. Brewer. http://www.colorbrewer.org/, accessed March 2007.
3. M. Christel and R. Conescu. Addressing the challenge of visual information access from digital image and video libraries. In Proc. of the 5th ACM/IEEE-CS J.C.D.L., pages 69-78. ACM Press, 2005.
4. M. Dubinko, R. Kumar, J. Magnani, J. Novak, P. Raghavan, and A. Tomkins. Visualizing tags over time. In Proceedings of the 15th international conference on WWW, pages 193-202. ACM Press, 2006.
5. Y.-H. Fua, M. Ward, and E. Rundensteiner. Navigating hierarchies with structure-based brushes. In Proc. of IEEE Symposium on Information Visualization, pages 58-64. IEEE Comp. Soc., 1999.
6. A. Girgensohn, J. Adcock, M. Cooper, and L. Wilcox. Interactive search in large video collections. In CHF'05 extended abstracts on Human factors in comp, systems, pages 1395-1398. ACM Press, 2005.
7. S. Havre, E. Hetzler, P Whitney, and L. Nowell. Themeriver: Visualizing thematic changes in large document collections. IEEE Transactions on Visualization and Computer Graphics, 8(1):9-20, 2002.
8. C. Healey. Choosing effective colours for data visualization. In Proc. of the 7th conference on Visualization, pages 263-270. IEEE Computer Society Press, 1996.
9. R. Johnson and D. Wichern, editors. Applied multivariate statistical analysis. Prentice-Hall, Inc., Upper Saddle River, NJ, USA, 1988.
10. D. Keim, F. Mansmann, J. Schneidewind, and H. Ziegler. Challenges in visual data analysis. In Proc. of the conference on Information Visualization, pages 9-16. IEEE Computer Society, 2006.
11. H. Luo, J. Fan, J. Yang, W. Ribarsky, and S. Satoh. Exploring large-scale video news via interactive visualization. In Proc. of IEEE Symposium on V.A.S.T., pages 75-82. IEEE Computer Society Press, 2006.
12. B. Schneiderman. Dynamic queries for visual information seeking. IEEE Softw., 11(6):70-77, 1994.
13. B. Shneiderman. The eyes have it: A task by data type taxonomy for information visualizations. In Proc. of the IEEE VL, page 336. IEEE Computer Society, 1996.
14. C. Ware and M. Lewis. The dragmag image magnifier. In CHI'95: Conference companion on Human factors in comp, systems, pages 407-408. ACM Press, 1995.
15. M. Wattenberg. Baby names, visualization, and social data analysis. In Proc. of the IEEE Symposium on Information Visualization, pages 1-7. IEEE Computer Society, 2005.
16. J. Yang, J. Fan, D. Hubball, Y Gao, H. Luo, W. Ribarsky, and M. Ward. Semantic image browser: Bridging information visualization with automated intelligent image analysis. In IEEE Symposium on V.A.S.T., pages 191-198. IEEE Comp. Soc. Press, 2006.