Multi-scale video cropping

Proceedings of the ACM International Multimedia Conference and Exhibition

Volumn , Issue , 2007, Pages 97-106

  El Alfy, Hazem ^a   Jacobs, David ^a   Davis, Larry ^a  

^a Institute of Advanced Computer Science   (United States)

Author keywords

Shortest path algorithm; Surveillance; Video cropping

Indexed keywords

SHORTEST PATH ALGORITHMS; SURVEILLANCE; VIDEO CROPPING;

ALGORITHMS; COMPUTER MONITORS; IMAGE QUALITY;

VIDEO SIGNAL PROCESSING;

EID: 37849038933     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1291233.1291255     Document Type: Conference Paper

References (18)

1. R. K. Ahuja, K. Mehlhorn, J. Orlin, and R. E. Tarjan. Faster algorithms for the shortest path problem. J. ACM, 37(2):213-223, 1990.
2. L.-Q. Chen, X. Xie, X. Fan, W.-Y. Ma, H.-J. Zhang, and H.-Q. Zhou. A visual attention model for adapting images on small displays. Multimedia Systems, 9(4):353-364, Oct 2003.
3. F. C. Crow. Summed-area tables for texture mapping. In Proceedings of the 11th annual conference on Computer graphics and interactive techniques (SIGGRAPH'84), volume 18, pages 207-212, 1984.
4. R. B. Dial. Algorithm 360: Shortest-path forest with topological ordering [H]. Commun. ACM, 12(11):632-633, 1969.
5. E. W. Dijkstra. A note on two problems in connection with graphs. Numerische Mathematik, 1:269-271, 1959.
6. X. Fan, X. Xie, H.-Q. Zhou, and W.-Y. Ma. Looking into video frames on small displays. In ACM international conference on Multimedia (MM'03), pages 247-250, 2003.
7. A. Girgensohn, J. Adcock, M. Cooper, J. Foote, and L. Wilcox. Simplifying the management of large photo collections. In Human-Computer Interaction (INTERACT03), pages 196-203, 2003.
8. R. Heck, M. Wallick, and M. Gleicher. Virtual videography. ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP), 3(1):4, Feb 2007.
9. H. Hung and S. Gong. Quantifying temporal saliency. British Machine Vision Conference (BMVC '04), pages 727-736, Sept. 2004.
10. L. Itti and P. Baldi. A principled approach to detecting surprising events in video. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 1:631-637, June 2005.
11. L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 20(11):1254-1259, Nov. 1998.
12. T. Kadir and M. Brady. Saliency, scale and image description. International Journal of Computer Vision (IJCV), 45(2):83-105, Nov. 2001.
13. H.-W. Kang, X.-Q. Chen, Y. Matsushita, and X. Tang. Space-time video montage. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), 2:1331-1338, June 2006.
14. F. Liu and M. Gleicher. Video retargeting: automating pan and scan. In ACM international conference on Multimedia (MM'06), pages 241-250, 2006.
15. B. Suh, H. Ling, B. B. Bederson, and D. W. Jacobs. Automatic thumbnail cropping and its effectiveness. A CM Symposium on User Interface Software and Technology (UIST '03), pages 95-104, Nov. 2003.
16. P. Viola and M. Jones. Robust real-time face detection. International Journal of Computer Vision, 57(2):137-157, May 2004.
17. J. Wang, M. J. Reinders, R. L. Lagendijk, J. Lindenberg, and M. S. Kankanhalli. Video content representation on tiny devices. IEEE International Conference on Multimedia and Expo (ICME'04), 3:1711- 1714, June 2004.
18. X. Xie, H. Liu, S. Goumaz, and W.-Y. Ma. Learning user interest for image browsing on small-form-factor devices. In SIGCHI Conference on Human Factors in Computing Systems (CHI'05), pages 671-680, 2005.