Jeffrey S. McVeigh
Doctoral Candidate in Electrical and Computer Engineering
Department of Electrical and Computer Engineering
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213
Office: DH 3323
Phone: (412) 268-8742
Fax: (412) 268-5699
My research is focused on the predictive coding of generalized video
signals. A generalized video signal is an extension of a traditional
video signal, obtained by sampling a scene in a single domain (e.g. the
time domain), to a signal obtained by sampling a scene in multiple domains.
An example generalized video signal is a stereoscopic video signal,
where the scene is sampled in both the time and perspective domains.
Current displacement compensated predictive coding schemes often fail
to recognize the non-trivial, time-varying correlation between the
residual signal and predicted signal for practical images. The effect
of this shortcoming is magnified in the coding of generalized video
signals, where the number of bits available for coding the residual
images is often severely constrained. My research attempts to develop
scalable concepts for the predictive coding of generalized video signals
that make better use of the predicted signal to reproduce the original
images with the minimal amount of information. This work has lead to
the development of a new class of predictive coding techniques,
called restoration based coding, that is scalable to multiple
predictions and capable of exploiting all correlations available at
the both the encoder and decoder.
- J.S. McVeigh, M.W. Siegel, A.G. Jordan, ``Intermediate view synthesis considering occluded and ambiguously referenced regions,'' Signal Processing: Image Communication, accepted.
- J.S. McVeigh, M.W. Siegel, A.G. Jordan, ``Adaptive reference frame selection for generalized video signal coding,'' Proceedings SPIE International Conference on Digital Video Compression: Algorithms and Technologies 1996, vol. 2668, San Jose, CA, 31 January - 2 February 1996, pp. TBD.
- J.S. McVeigh, M.W. Siegel, A.G. Jordan, ``Algorithm for automated eye strain reduction in real stereoscopic images and sequences,'' Proceedings SPIE International Conference on Human Vision and Electronic Imaging, vol. 2657, San Jose, CA, 29 January - 1 February 1996, pp. TBD.
- J.S. McVeigh, S.-W. Wu, M.W. Siegel, A.G. Jordan, ``Vector restoration for video coding'', Proceedings IEEE International Conference on Image Processing, Washington, DC, 23-26 October 1995, pp. 93-96.
- J.S. McVeigh, V.S. Grinberg and M.W. Siegel, ``Double buffering technique for binocular imaging in a window'', Proceedings SPIE International Conference on Stereoscopic Displays and Virtual Reality Systems II, vol. 2409, San Jose, CA, 7-8 February 1995, pp. 168-175.
- J.S. McVeigh and S.-W. Wu, ``Partial closed loop versus open loop motion estimation for HDTV compression'', International Journal of Imaging Systems and Technology, vol. 5, no. 4, 1994, pp. 268-275.
- J.S. McVeigh and S.-W. Wu, ``Comparative study of partial closed-loop versus open-loop motion estimation for the coding of HDTV'', Proceeedings IEEE Workshop on Visual Signal Processing and Communications, New Brunswick, NJ, 19-20 September 1994, pp. 63-68.
Research Group Home Page
Advanced Television Systems Committee
Other Resources of Interest
J. S. McVeigh (email@example.com)
(last updated: 01/22/96)