Course Contents

Sl. No.	Topic	Selected Chapters from Textbooks
		The Essential Guide to Video Processing, Bovik	Handbook of Image and Video Processing, Bovik	Digital Video Processing, Tekalp
1	Introduction	Ch. 1: Video Sampling and Interpolation	Ch. 3.1: Basic Linear Filtering with Applications to Image Enhancement Ch 4.1: Computational Models of Early Human Vision	--
2	Motion Detection and Estimation	Ch. 3: Motion Detection and Estimation	--	Ch. 5: Optical Flow Methods Ch. 13: Motion Compensated Filtering
3	Video Enhancement and Restoration	Ch. 4: Video Enhancement and Restoration Ch. 14: Video Quality Assessment	--	Ch. 15: Restoration Ch. 17: Super-resolution
4	Video Segmentation	Ch. 6: Video Segmentation	--	Ch. 11: Motion Segmentation
5	Tracking	Ch. 7: Motion Tracking in Video	Ch. 4.11: 2D and 3D Motion Tracking in Digital Video	Ch. 9: Methods using Point Correspondences Ch. 10: Optical Flow and Direct Methods
6	Optimization	--	--	Ch. 7: Pel-Recursive Methods Ch. 8: Bayesian Methods
7	Applications	Ch. 5: Video Stabilization and Mosaicing Ch. 15: A Unified Framework for Video Indexing, Summarization, Browsing and Retrieval Ch. 19: Video Surveillance	--	--

References

Textbooks

The Essential Guide to Video Processing Al Bovik (Alan C Bovik), Academic Press, Second Edition, 2009

Handbook of Image and Video processing - Al Bovik (Alan C Bovik), Academic Press, Second Edition, 2005.

Digital Video Processing - A. Murat Tekalp, Prentice Hall, 1995

References

Richard Szeliski, Computer Vision: Algorithms and Applications, Springer-Verlag London Limited 2011.

Journals

IEEE-T-CSVT (IEEE Transactions on Circuit Systems and VIdeo Technology).

Term Project Assignment (TPA)

List of Term Project Assignments
TPA ID	Topic	Marks	Details
1	Use of spatio-temporal features for matching (unconstrained) video shots	45
2	Inane video analysis: classification, Similarity measure	50
3	Unusual event detection from surveillance video shots	40
4	Automatic Video Shot Classication using Visual Features	45
5	Salient Event Detection from Video Shots	50
6	Video Concept Detection across Domains	50
7	Salient Event Detection video database (SEDVID) creation	35+10
8	Indian Movie Action Database (IMAD) creation	35+10
9	Motion compensation based automatic tracking of object silhouette, under camera movement	45
10	Automatic Guitar Transcription	45
11	Video Stabilization due to shake, jitter	40
12	Detection of tampered videos	45

General Instructions

• TPA to be done in groups
• A group may have 2 or 3 members (preferebly 2)
• Students should form group and tell their TPA preferences to the TA
• Deadline for giving preference is 17 Feb, 2014
• TPA will be allocated to the groups by 21 Feb, 2014

Group Details

 

Group ID	Group Members				Allocated TPA
	Name	Roll Number	Name	Roll Number
1	R Nikhil	CS11B023	B. Sai Surendra Reddy	CS11B008	11
2	Abhinav Garlapati	CS11B030	Hariprasad P S	CS11B064	1
3	Aritra Ghosh	CS11B062	B Sai Kiriti	CS11B007	5
4	Akhil Lb	CS11B018	A Raghavendra Kiran	CS11B031	2
5	Srikanth dbp	CS11B013	B . Samuel	CS11B009	4
6	Chandan A	CS11B005	Saatwik Dpks	CS11B014	5
7	Shantanu Gupta	CS11B047	Siddhant Mutha	CS11B048	10
8	Abhijit CS	CS11B003	Vivek Kharb	CS11B054	12

Lecture Slides

 

Softcopy of the Lecture Slides
Sl. No.	Topic	Download Link
1	Introduction to Digital Video Processing
2	Motion Analysis
3	GMM Model with EM
4	Motion Detection and Tracking

Announcement

Marks Distribution

• End Sem : 40
• Tutorial : 10
• TPA : 50

Logistic Details

• TA: Chiranjoy Chattopadhyay (chiranjoy[at]gmail[dot]com)
  
• TA: Tirumarai Selvan(tirumarai[dot]selvan[at]gmail[dot]com)
  

Syllabus for Tutorial (21 March, 2014 @ 4.45 PM, BSB 361)

• Topics discussed in class
• Sl. no 2 of course content
• Sl. no 5 in course content
• CS 6350 Slides
  • Fourier Theory and Filtering in spatial and spectral domains
  • 3D transformations and projection (First 40 Slides)
  • Local Feature Detectors and Descriptors
  • Pattern Recognition (Bayes Theorem, PCA, LDA, Multivariate Gaussian)

Lecture Schedule

Lecture Schedule

Sl. No.	Date	Time	Place	Topic of discussion
1	18 January, 2014	10 AM	CS36	Introduction to Digital Video Processing
2	29 January, 2014	4 PM	CS36	Motion Analysis
3	7 February, 2014	4.45 PM	BSB 361	Motion Analysis
4	21 February, 2014	4.45 PM	BSB 361	Motion Analysis
5	14 February, 2014	4.45 PM	BSB 361	Motion Analysis