Acknowledgments: Some of this research was
conducted at AT&T Labs – Research.
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1. A. R. Reibman and B. G. Haskell, Constraints on variable
bit-rate video for ATM networks, IEEE
Transactions on Circuits and Systems for Video Technology, vol. 2, no. 4,
pp. 361-372, December 1992.
2. D. M. Lucantoni, M. F. Neuts, and A. R. Reibman, “Methods of performance evaluation of VBR video traffic models," IEEE/ACM Transactions on Networking, vol. 2, no. 2, pp. 176-180, April 1994.
3.
A. R. Reibman and A. W. Berger, “Traffic
descriptors for VBR video teleconferencing over ATM networks,” IEEE/ACM Transactions on Networking,
vol. 3, no. 2, pp. 329-339, June 1995.
4. H. Kanakia, P. P. Mishra, and A. R. Reibman, An adaptive congestion
control scheme for real time packet video transport, IEEE/ACM Transactions on Networking,
vol. 3, no. 6, pp. 671-682, December 1995.
5. R. Aravind, M. R. Civanlar, and A. R. Reibman, “Packet loss resilience of MPEG-2 scalable video coding algorithms”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 6, no. 5, pp. 426-435, October 1996.
6. C.-Y. Hsu, A. Ortega, and A. R. Reibman, “Joint selection of source and channel rate for VBR video transmission under ATM policing constraints”, IEEE Journal on Selected Areas in Communications, vol. 15, no. 6, pp. 1016-1028, August 1997. (Winner of the Communications Society 1998 Leonard G. Abraham Prize Paper Award.)
7. T. V. Lakshman, A. Ortega and A. R. Reibman, “VBR video: Tradeoffs and potentials,” Proceedings of the IEEE, vol. 86, no. 5, pp. 952-973, 1998.
8. G. de los Reyes, A. R. Reibman, S.-F. Chang, J. Chuang, “Error resilient transcoding for video over wireless channels”, IEEE Journal on Selected Areas in Communications, special issue on error resilient video, June 2000.
9. Y. Wang, M. Orchard, V. Vaishampayan, and A.
R. Reibman, Multiple
Description Coding using Pairwise Correlating Transforms, IEEE Transactions on Image Processing,
vol. 10, no. 3 pp. 351-366, March 2001.
10.
A. R.
Reibman, H. Jafarkhani, Y. Wang, M. T. Orchard, and R. Puri, “Multiple
description video coding using motion-compensated temporal prediction", IEEE Transactions on Circuits and Systems
for Video Technology, vol. 12, no. 3, pp. 193-204, March 2002.
11.
A. Reibman,
L. Bottou, and A. Basso, “Scalable video coding with managed drift", IEEE Transactions on Circuits and Systems
for Video Technology, vol. 13, no. 2, pp 131-140, Feb. 2003.
12. A. R. Reibman, Y. Sermadevi and V.
Vaishampayan, Quality
monitoring of video over a network, IEEE Transactions on Multimedia, vol. 6, no. 2, pp. 327-334, April
2004.
13.
Y. Wang, A.
R. Reibman, and S. Lin, “Multiple description coding for video delivery", Proceedings of the IEEE, vol. 93, no. 1,
pp. 57-70, Jan 2005.
14. S.
Kanumuri, P. C. Cosman, A. R. Reibman, and V. Vaishampayan, Modeling packet-loss
visibility in MPEG-2 Video, IEEE
Transactions on Multimedia, vol. 8, no.
2, pp. 341-355, April 2006.
15.
Y. Huang, Y.
F. Chen, R. Jana, H. Jiang, M. Rabinovich, A. Reibman, B. Wei, and Z. Xiao,
“Capacity analysis of MediaGrid: a P2P IPTV platform for fiber to the node
networks", IEEE Journal on Selected
Areas in Communications, vol. 25, no. 1, pp. 131-139, January 2007.
16.
A.
Leontaris, P. C. Cosman, and A. R. Reibman, “Quality evaluation of
motion-compensated edge artifacts in compressed video", IEEE Transactions on Image Processing,
vol. 16, no. 4, pp. 943-956, April 2007.
17.
T.-L. Lin,
S. Kanumuri, Y. Zhi, D. Poole, P. C. Cosman, and A. R. Reibman, “A versatile
model for packet loss visibility and its application to packet
prioritization", IEEE Transactions
on Image Processing, vol. 19, no. 3, pp. 722-735, March 2010.
18.
S. S. Hemami
and A. R. Reibman, “No-reference image and video quality estimators:
Applications and human-motivated design", Signal Processing: Image Communication, vol. 25, pp. 469-481,
August 2010.
19.
H. R. Wu, A.
R. Reibman, W. Lin, F. Pereira, and S. S. Hemami, “Perceptual visual signal
compression and transmission", Proceedings
of the IEEE, vol. 101, number 9, pp. 2025-2043, September 2013.
20.
A. M.
Demirtas, H. Jafarkhani and A. R. Reibman, “Full-reference quality estimation
for images with different spatial resolutions", IEEE Transactions on Image Processing, vol. 22, no. 5, pp.
2069-2080, May 2014.
1.
W. M. Lam, A. R. Reibman, and B. Liu, “Recovery
of lost or erroneously received motion vectors," in Proceedings IEEE International Conference on Acoustics, Speech, and
Signal Processing, April 1993.
2.
A. R. Reibman, S. Sen, and J. van der
Merwe, “Network monitoring for video quality over IP", Proc. Picture
Coding Symposium, Dec 2004.
3.
A. R. Reibman, S. Sen, and J. van der
Merwe, “Analyzing the spatial quality of Internet streaming video", First International Workshop on Video
Processing and Quality Metrics, Scottsdale, AZ, Jan. 2005.
4.
A. R. Reibman, S. Sen, and J. van der
Merwe, “Video quality estimation for Internet streaming", Fourteenth International World Wide Web
Conference, Chiba Japan, May 2005.
5.
A. R. Reibman and S. Suthaharan, “A
no-reference spatial aliasing measure for digital image resizing", IEEE International Conference on Image
Processing, Oct. 2008.
6.
T.-L. Lin, P. C. Cosman, and A. R.
Reibman, “Perceptual impact of bursty versus isolated packet losses in H.264
compressed video", IEEE
International Conference on Image Processing, Oct. 2008.
7. F. M. Ciaramello and A. R. Reibman, “Supplemental subjective testing to evaluate the performance of image and video quality estimators", Proc. SPIE 7865, Human Vision and Electronic Imaging XVI, 78650Q (February 02, 2011); http://dx.doi.org/10.1117/12.876747
8. F. M. Ciaramello and A. R. Reibman, “Systematic stress testing of image quality estimators", IEEE International Conference on Image Processing, Oct. 2011.
9. A. M. Demirtas, A. R. Reibman, and H. Jafarkhani, “Performance of H.264 with isolated bit error: Packet decode or discard?", IEEE International Conference on Image Processing, Oct. 2011.
10. A. M. Demirtas, H. Jafarkhani and A. R. Reibman, "Quality estimation for images and video with different spatial resolutions", Proc. SPIE 8291, Human Vision and Electronic Imaging XVII, 82910F (February 9, 2012); http://dx.doi.org/10.1117/12.912034
11. L. Yang, C. Tian, V. Vaishampayan, and A. R. Reibman, “An automatic grid corner extraction technique for camera calibration", IEEE International Conference on Image Processing, Sept. 2012.
12. A. R. Reibman, “A strategy to jointly test image quality estimators subjectively", IEEE International Conference on Image Processing, Sept. 2012.
13. A. M. Demirtas, A. R. Reibman, and H. Jafarkhani, “Image quality estimation for different spatial resolutions", IEEE International Conference on Image Processing, Sept. 2013.
14. A. R. Reibman, K. Shirley, C. Tian, “A probabilistic pairwise-preference predictor for image quality", IEEE International Conference on Image Processing, Sept. 2013.
15. A. M. Demirtas, A. R. Reibman, and H. Jafarkhani, “Full-reference video quality estimation for videos with different spatial resolutions", IEEE International Conference on Image Processing, Sept. 2014.
16. A. R. Reibman, “Designing a biased specification-based subjective test of image quality,'' in: Human Vision and Electronic Imaging, Paper 9394-6, San Francisco, CA (February 2015).