EE 636 - Digital Video Processing
2008 Spring
Assoc. Prof. Gözde Bozdagi Akar
Dept. of Electrical and Electronics Eng.
D121-1, 210 2341, bozdagi@metu.edu.tr
www.eee.metu.edu.tr/~bozdagi/EE_706.htm
The
purpose of this course is to present a comprehensive description of digital
video processing. The course will start with characteristics of basic analog
video systems. Digital video concepts will then be presented. Topics will
include filtering, enhancement and motion estimation. Finally
a comprehensive description of digital video compression techniques such as
H.26x and MPEG-x; transmission of digital video information will be presented.
Course
Outline
- Introduction / Course overview
- Basics of analog and digital
video: color
video formation and specification, analog TV system, video raster, digital
video formats, spatial and temporal frequency response of the human visual
system.
- Motion analysis: Real vs
apparent motion, motion modeling, spatial-temporal constraint
methods (optical flow equation), block-matching methods, mesh-based
methods, global motion estimation, multi-resolution approach, motion
segmentation
- Video Image Filtering: Motion compensated filtering,
enhancement, deinterlacing, standards
conversion, superresolution
- Video compression: information bounds for lossless
and lossy source coding, transform coding,
predictive coding, motion compensated coding, scalable video coding, multiview/stereo/mesh coding, video compression
standards and Applications
- Digital
Video Communication: video streaming, error resilience,
error concealment
Textbook
Digital Video Processing,
A. Murat Tekalp, Prentice-Hall, ISBN 0-13-190075-7,
August 1995.
Reference Books
·
Video
Processing and Communications, Y. Wang, J. Ostermann,
Y. Zhang, Prentice Hall, 2002.
·
Digital
Video: An Introduction to MPEG-2, B.G. Haskell, A. Puri,
and A.N. Netravali, Chapman & Hall, 1997.
·
Motion
Analysis and Image Sequence Processing, edited by M.I. Sezan
and R.L. Lagendijk, Kluwer
Academic Publishers, 1993.
Reference journals
- IEEE Transactions on Image Processing
- IEEE Transactions on Circuits and Systems for
Video Technology
- IEEE Transactions on Multimedia Signal
Processing: Image Communications
- International Journal of Computer Vision
Grading
Midterm: 20%
Assignments: 15%
Final Exam: 30%
Term Project (presentation+demo+final report): 35%
Assignments
There will be three reading assignments, two programming assignments
and two problem assignments. All assignments are due before the lecture hours.
Reading and problem assignments will be given as printed out. Programming
assignments will be sent by e-mail. Reading assignments will be summary
of the given paper. It should be about one page, and you should explain the main
contributions and the important points of the proposed methods in your own
words.
Project Requirements
- The project requires reading of
papers in one of the areas related to the course, implement/compare
different approaches and if possible propose your own improvements.
- Each project may be performed
by a single student or a group of two students. However the proposed
work for each individual should be identified in the proposal,
and the actual contributions of each individual should be identified in
the report.
- Before you sign up
for a project, please consider carefully the equipment requirements and
what equipment you have access to.
Proposal should include
- Project title and team
members
- An abstract in one
paragraph or two describing the project scope
- Detailed project plan
Preliminary report should include
- Project title and team
members
- An abstract
- Literature survey
- Revised project plan
- Your accomplishments and remaining
work
- Hardware and software
requirements
- List of references
Final
report should include
- Project title and team
members
- An abstract
- Your results and conclusion
- Your source code in a
CD and user manual
- List of references
Important dates
Proposal
due: 7. March. 2008
Preliminary
report due: 4. April. 2008
Midterm:
2. May. 2008
Final
report due: 30. May. 2008
Possible Project Topics and
References
Deblocking
Filter implementation
- Peter List, Anthony
Joch, Jani Lainema, Gisle Bjøntegaard, and Marta Karczewicz, “Adaptive
Deblocking Filter”, IEEE
TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 13, NO. 7,
JULY 2003.
Distributed
Video Coding
- Lei Wei, Yao
Zhao, and Anhong Wang, “ Improved Side-Information in Distributed Video Coding” Proceedings of
the First International Conference on Innovative Computing, Information
and Control - Volume 2, 2006.
- Mei
Guo, Yan Lu, Feng Wu, Shipeng Li, Wen Gao, “Distributed video coding with
spatial correlation exploited only at the decoder”, IEEE
International Symposium on Circuits and Systems (ISCAS), pp. 41-44, 2007.
Multiview Distributed
Video Coding
- Mourad Ouaret,
Frederic Dufaux, Touradj Ebrahimi, “Fusion-based Multiview Distributed
Video Coding”, Proceedings of the
4th ACM international workshop on Video surveillance and sensor networks,
2006.
- X. Artigas, E.
Angeli, L. Torres, “Side
Information Generation for Multiview Distributed Video Coding Using a
Fusion Approach”, 7th Nordic Signal Processing Symposium, NORSIG’06,
Reykjavik, Iceland, June 7 - 9, 2006
- Xun Guo, Yan Lu, Feng
Wu, Wen Gao, Shipeng Li, “Distributed multi-view video coding”, Visual
Communications and Image Processing, vol. 6077, 2006.
Activity
detection
- Dhruv Mahajan and
Nipun Kwatra and Sumit Jain and Prem Kalra and Subhashis Banerjee, “A
Framework for Activity Recognition and Detection of Unusual Activities”,
ICVGIP, 2004
- C. A. Dimoulas, K. A.
Avdelidis, G.M. Kalliris, and G. V. Papanikolaou, “Joint Wavelet Video
Denoising andMotion Activity Detection in Multimodal Human Activity
Analysis: Application to Video-Assisted
Bioacoustic/PsychophysiologicalMonitoring”, EURASIP Journal on Advances in
Signal Processing, Volume 2008 , Issue 1 (January 2008).
Aerial survelliance
- Yi Li, Indriyati
Atmosukarto, Masaharu Kobashi, Jenny Yuen and Linda G. Shapiro, “Object
and Event Recognition for Aerial Surveillance”, Optics and Photonics in
Global Homeland Security. Edited by Saito, Theodore T. Proceedings of the
SPIE, Volume 5781, pp. 139-149 (2005).
- Jongrae Kim, Yoonsoo Kim, “Moving ground target
tracking on dense obstacle areas using UAVs, “ in print.
Forground/background
segmentation
- Darren E. Butler et.
al. , “Real-Time Adaptive Foreground/Background Segmentation”, EURASIP
Journal on Applied Signal Processing, Volume 2005 , Issue 1 (January
2005)