ACM Home Page
Please provide us with feedback. Feedback
Coding image sequences for interactive retrieval
Full text PdfPdf (1.02 MB)
Source
Communications of the ACM archive
Volume 32 ,  Issue 7  (July 1989) table of contents
Pages: 852 - 860  
Year of Publication: 1989
ISSN:0001-0782
Authors
Andrew Lippman  Massachusetts Institute of Technology Media Lab., Cambridge
William Butera  Massachusetts Institute of Technology Media Lab., Cambridge
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 7,   Downloads (12 Months): 29,   Citation Count: 12
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/65445.65452
What is a DOI?

ABSTRACT

An image coding technique for digital storage of motion picture information is presented that is optimated for use in interactive systems where high quality still frames, random access, and database linkages are required.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Ade.{son, E.H., et al. t'yramid methods in image processing. RCA Engineer (Nov./Dec. ~ 984), 33-41.
 
2
Anstis, S.M. The perception of apparent motion. Phil. Trans. Royal Society of London, 1983, 150-168.
 
3
Backer, D.S. Personalized visualization: Interactive cinema for training. In Proceedings of the Computer Graphics '81 Conference (London, England), 1981.
 
4
Bove, V.M., Jr. Discrete Fourier transform based depth-from-focus. In Proceedings of the 1989 Optical Society of America Topical Meeting on Image Understanding and Machine Vision (June 1989).
 
5
Butera, W. Multiscale coding of images. Master's thesis, Media Arts and Sciences Section, MIT, Sept. 1988.
 
6
Goldberg, M., and Sun, H. Image sequence coding using vector quantization. IEEE Trans. on Commun. 34, 7 (July 19861, 703-710.
 
7
Gray, R. Vector quantization. IEEE ASSP Magazine (Apr. 1984).
8
 
9
Houle, G., and Dubois, E. Quantization of color image:~ for display on graphics display terminals. In Proceedings of the Globecom {Dec. 1-4, 1986, Houston, Tex.)
 
10
Karlsson, G., and Vetterli, M. Subband coding of video signals for packet switched networks. Visual Communications and Image Processing II, SPIE Proc. 845, 1987, p. 446-456.
 
11
Kretzmer, E.R. Reduced-alphabet representation of television signals. IRE National Convention Record 4, 4 (1956}, 140-153.
 
12
LeGall, D.J. Subband coding of images with low computational complexity. 3.18, Picture Coding Symposium. June 1987.
13
 
14
Makhoul, j., and Gish, H. Vector quantization for speech coding. In Proceedings of the IEEE, 73, 11 (Nov. 1985), 1551-1588.
 
15
 
16
 
17
Rogowitz, B.E. Spatial/temporal interactions: Backward and forward metacontrast masking with sine wave gratings. Visual Research 23, (1983), 1057-1073.
 
18
Schreiber, W.F., et at. A compatible high-definition television system using the noise margin method of hiding enhancement information. Better Video Images. SMPTE Publication, 1989.
 
19
Schreiber, W.F., and Buckley, R.R. A two channel picture coding system: IIMAdaptive companding and color coding. IEEE Trans. on Commun. 29, 12 (Dec. 1981), 1849-1858.
 
20
Simoncelli, E.P. Orthogonal subband image transforms. Master's thesis, Dept. of Electrical Engineering and Computer Science, MIT, May 1988.
 
21
Smith, M., and Barnwell, T. A procedure for designing exact reconstruction filters for tree structured subband coders. In IEEE Conference on ASSP.
 
22
Vaidyanathan, P.P. Quadrature mirror filter banks, M..band extensions, and perfect reconstruction techniques. IEEE ASSP Magazine (July 1987), 4-20.
 
23
Westerink, P.H., et al. Subband coding of images using vector quantization. IEEE Trans. on Commun. 36, 6 (June 1988), 713-719.

CITED BY  12

Collaborative Colleagues:
Andrew Lippman: colleagues
William Butera: colleagues