Predictive perceptual compression for real time video communication

ACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia

Volumn , Issue , 2004, Pages 220-227

  Komogortsev, Oleg ^a   Khan, Javed ^a  

^a KENT STATE UNIVERSITY   (United States)

Author keywords

Perceptual compression; Video transcoding

Indexed keywords

BANDWIDTH; BIT ERROR RATE; EYE MOVEMENTS; IMAGE COMPRESSION; SAMPLING; VISION;

ACUITY ZONES; PERCEPTUAL COMPRESSION; SPATIAL CODING; VIDEO TRANSCODING;

VIDEO SIGNAL PROCESSING;

EID: 13444263374     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1027527.1027577     Document Type: Conference Paper

References (15)

1. Daly, S. J., Matthews, K., Ribas-Corbera, J. Visual eccentricity models in face-based video compression. In Human Vision and Electronic Imaging IV, May 1995, SPIE.
2. Duchowski, A. T. Acuity-Matching Resolution Degradation Through Wavelet Coefficient Scaling. IEEE Transactions on Image Processing 9, 8. August 2000.
3. Geisler, W. S., Perry, J. S. Real-time Foveated Multiresolution System for Low-bandwidth Video Communication. In Human Vision and Electronic Imaging III, July 1998, SPIE.
4. Irwin, D. E. Visual Memory Within and Across Fixations. In Eye movements and Visual Cognition: Scene Preparation And Reading, K. Rayner, Ed. Springer-Verlag, New-York, NY,1992, pp. 146-165. Springer Series in Neuropsychology.
5. Khan, J., Gu, Q., and Zaghal, R. Symbiotic Video Streaming by Transport Feedback based Quality rate Selection In Proceedings of the 12th IEEE International Packet Video Workshop 2002, Pittsburg, PA, April 2002
6. Javed, K., Yun D. Multi Resolution Perceptual Encoding for Interactive Image Sharing in Remote Tele-Diagnostics, Manufacturing Agility and Hybrid Automation -I. In Proceedings of the International Conference on Human Aspects of Advanced Manufacturing: Agility & Hybrid Automation, HAAMAHA'96, Hawaii, Aug. 1996, pp183-187.
7. Komogortsev, O., Khan, J., Video Set for Predictive Perceptual Compression Test. At www.cs.kent.edu/~okomogor/ACM04VideoSet.htm.
8. Kuyel, T., Geisler, W. S., Ghosh, J. Retinally reconstructed images (RRIs): digital images having a resolution match with the human eye. In Human Vision and Electronic Imaging III, July 1998, SPIE
9. Lee, S., Pattichis, M., Bovok, A. Foveated Video Compression with Optimal Rate Control. In IEEE Transaction of Image Processing, V. 10, n.7, July 2001, pp-977-992.
10. Loschky, L., McConkie, G. User performance with gaze contingent multiresolutional displays. In Proceedings of the symposium on Eye tracking research & applications. November 2000.
11. Niu, E. L. Gaze-based video compression using wavelets. M.S. Thesis. University of Illinois at Urbana-Champaign. The Graduate College. August 1995.
12. Wang, Z., Lu, L., and Bovik, A. Rate scalable video coding using a foveation-based human visual system model. IEEE International Conference on Acoustics, Speech, & Signal Processing, May 2001.
13. Westen, S. J., Lagendijk, R., Biemond, J. Spatio-temporal model of human vision for digital video compression. In Human Vision and Electronic Imaging II, June 1997, SPIE.
14. Yoon, S., Ratakonda, K., Ahuja, N. Region-Based Video Coding Using A Multiscale Image Segmentation. In Proceedings of 1997 International Conference on Image Processing (ICIP '97).
15. Kortum, P., Geisler, W. S., Implementation of a Foveated Image Coding System for Image Bandwidth Reduction. In Human Vision and Electronic Imaging, April 1996, SPIE.