Prof. John W. Woods
at Rensselaer Polytechnic Institute
SPIE Involvement:
Author | Instructor
Publications (24)

Proceedings Article | 31 January 2011 Paper
Proceedings Volume 7882, 78820M (2011) https://doi.org/10.1117/12.872897
KEYWORDS: Receivers, Video, Computer programming, Lawrencium, Distortion, Video coding, Video processing, Positron emission tomography, Radon, Optimization (mathematics)

Proceedings Article | 19 January 2009 Paper
Proceedings Volume 7257, 72570E (2009) https://doi.org/10.1117/12.805588
KEYWORDS: Receivers, Video, Video coding, Computer programming, Distortion, Algorithm development, Remote sensing, Scalable video coding, Internet, Forward error correction

Proceedings Article | 28 January 2008 Paper
Yufeng Shan, John Woods, Shivkumar Kalyanaraman
Proceedings Volume 6822, 682207 (2008) https://doi.org/10.1117/12.768613
KEYWORDS: Video, Forward error correction, Optimization (mathematics), Receivers, Computer programming, Time metrology, Remote sensing, Distortion, Computer simulations, Video processing

Proceedings Article | 28 January 2008 Paper
Rajat Dani, Tong Zhang, John Woods
Proceedings Volume 6822, 68221A (2008) https://doi.org/10.1117/12.776597
KEYWORDS: Motion estimation, Video, Image processing, Computer programming, Visualization, Image quality, Edge detection, Very large scale integration, CMOS technology, Energy efficiency

Proceedings Article | 19 January 2006 Paper
Proceedings Volume 6077, 60771E (2006) https://doi.org/10.1117/12.648439
KEYWORDS: Video, Scalable video coding, Visualization, Image compression, Image resolution, Spatial resolution, Linear filtering, Video coding, Distortion, Video processing

Showing 5 of 24 publications
Proceedings Volume Editor (1)

SPIE Conference Volume | 27 January 2008

Conference Committee Involvement (10)
Visual Information Processing and Communication VI
10 February 2015 | San Francisco, California, United States
Visual Information Processing and Communication V
5 February 2014 | San Francisco, California, United States
Visual Information Processing and Communication IV
6 February 2013 | Burlingame, California, United States
Visual Information Processing and Communication III
24 January 2012 | Burlingame, California, United States
Visual Information Processing and Communication II
25 January 2011 | San Francisco Airport, California, United States
Showing 5 of 10 Conference Committees
Course Instructor
SC763: Subband/Wavelet Scalable Video Coding
The class of video coders using 3-D subband/wavelet transforms along the motion trajectory has received a lot of interest lately. These non-hybrid or stateless video coders can be highly scalable in bitrate, resolution, and frame rate, and hence are very attractive for implementation on heterogeneous networks. These interframe subband/wavelet coders require a highly accurate local motion field though, and the question of motion vector scalability naturally arises. In this tutorial, we try to illustrate some of the new issues by using the motion-compensated video coder MC-EZBC as a concrete example. We compare results of scalable MC-EZBC to those of the non-scalable H.264 coder, as well as the new scalable video coder currently being developed by MPEG. We also raise the difficult issue of comparison of scalable coders at lower frame rates and resolutions, where they generally have different natural references, and propose a cross-check method. We cover the different architectures of current interframe subband/wavelet video coders and present their advantages and disadvantages. We also present results from wired network video simulation and also in-network data adaptation (scaling) for this class of imbedded video coders. The short course endeavors to bring the attendees knowledge in basic image and video coding up to date on recent developments in this exciting field.
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