Properties of the singular value decomposition for efficient data clustering

IEEE Signal Processing Letters

Volumn 11, Issue 11, 2004, Pages 862-866

  Lee, Sangkeun ^a   Hayes, Monson H ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE RETRIEVAL; MATRIX ALGEBRA; VECTORS;

DATA CLUSTERING; KEY FRAME; SINGULAR VALUE DECOMPOSITION; VIDEO ABSTRACTION;

IMAGE COMPRESSION;

EID: 7444226472     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2004.833513     Document Type: Article

References (6)

1. S. Deerwester, S. Dumais, G. Furnas, T. Landauer, and R. Harshman, "Indexing by latent semantic analysis," J. Amer. Soc. Inform. Sci., vol. 41, pp. 391-407, 1990.
2. A. Dapena and S. Ahalt, "A hybrid DCT-SVD image-coding algorithm," IEEE Trans. Circuits Syst. Video Technol., vol. 12, pp. 114-121, Feb. 2002.
3. B. L. Yeo and B. Liu, "Rapid scene analysis on compressed video," IIEEE Trans. Circuits Syst. Video Technol., vol. 5, no. 6, pp. 533-544, Dec. 1995.
4. S. W. Lee, Y. M. Kim, and S. W. Choi, "Fast scene change detection using direct feature extraction from MPEG compressed videos," IEEE Trans. Multimedia, vol. 2, pp. 240-253, Dec. 2000.
5. S. K. Lee and M. H. Hayes III, "Efficient scene segmentation for content-based indexing in compressed domain." in Proc. IEEE 2001 Workshop on Multimedia Signal Processing, Cannes, France, Oct. 2001.
6. G. Golub and C. Loan, Matrix Computations, 3rd ed. Baltimore, MD: Johns Hopkins Univ. Press, 1996.