Computing content-plots for video

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2353, Issue , 2002, Pages 491-501

  Schweitzer, Haim ^a  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION;

COMPUTATIONAL PROBLEM; GRAPH CLUSTERING; GRAPH CLUSTERING ALGORITHMS; K-MEANS TECHNIQUE; KEY FRAMES; TECHNICAL CONTRIBUTION; TWO-DIMENSION; VIDEO CLIPS;

K-MEANS CLUSTERING;

EID: 84937543092     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47979-1_33     Document Type: Conference Paper

References (15)

1. Xiong, W., Lee, J.C.M.: Efficient scene change detection and camera motion annotation for video classification. Computer Vision and Image Understanding: CVIU 71 (1998) 166–181
2. Zhang, H., Kankanhalli, A., Smoliar, S.: Automatic partitioning of full-motion video. ACM Multimedia Systems 1 (1993) 10–28
3. Yeung, M., Yeo, B., Liu, B.: Segmentation of video by clustering and graph analysis. Computer Vision and Image Understanding: CVIU 71 (1998) 94–109
4. Bolle, R.M., Yeo, B.L., Yeung, M.M.: Video query: Research directions. IBM Journal of Research and Development 42 (1998) 233–252
5. Dimitrova, N., Golshani, F.: Motion recovery for video content classification. ACM Transactions on Information Systems 13 (1995) 408–439
6. Yeo, B.L., Yeung, M.M.: Retrieving and visualizing video. Communications of the ACM 40 (1997) 43–52
7. Cormen, T.H., Leiserson, C.E., Rivest, R.L.: Introduction to algorithms. 6th edn. MIT Press and McGraw-Hill Book Company (1992)
8. Schweitzer, H.: A distributed algorithm for content based indexing of images by projections on Ritz primary images. Data Mining and Knowledge Discovery 1 (1997) 375–390
9. Chandrasekaran, S., Manjunath, B.S., Wang, Y.F., Winkeler, J., Zhang, H.: An eigenspace update algorithm for image analysis. Graphical models and image processing: GMIP 59 (1997) 321–332
10. Wu, Z., Leahy, R.: An optimal graph theoretic approach to data clustering: Theory and its application to image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 15 (1993) 1101–1113
11. Shi, J., Malik, J.: Normalized cuts and image segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR’97). (1997) 731–737
12. Fukunaga, K.: Introduction to Statistical Pattern Recognition. Second edn. Academic Press, New York (1990)
13. Jain, A.K., Dubes, R.C.: Algorithms for Clustering Data. Prentice-Hall, Englewood Cliffs, NJ (1988)
14. Marroquin, J.L., Girosi, F.: Some extensions of the K-means algorithm for image segmentation and pattern classification. Technical Report AIM-1390, Massachusetts Institute of Technology (1993)
15. Cox, T.F., Cox, M.A.: Multidimensional Scaling. Chapman & Hall (1994)