Video Processing and Analytics detailed syllabus for Information Technology (IT) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the IT students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Information Technology 8th Sem scheme and its subjects, do visit IT 8th Sem 2019 regulation scheme. For Professional Elective-VII scheme and its subjects refer to IT Professional Elective-VII syllabus scheme. The detailed syllabus of video processing and analytics is as follows.
Course Objective:
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Unit I
Video Fundamentals
Basic Concepts and Terminology – Analog Video Standards – Digital Video Basics – Analog to Digital Conversion – Color Representation and Chroma Sub Sampling – Video Sampling Rate and Standards Conversion – Digital Video Formats – Video Features – Colour, Shape and Textural features.
Suggested Activities:
- In-class activity – Numerical problems on sampling and standard conversions.
- Flipped classroom on description about video features.
Suggested Evaluation Methods:
- Assignments on sampling and standard conversions.
- Quiz on video features.
Unit II
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Unit III
Video Segmentation and Analytics
Video Segmentation – Video Shot Boundary Detection – Model Based Annotation – Video Mining – Multimodal Approach to Image and Video Data Mining – Probabilistic Semantic Mode.
Suggested Activities:
- In-class activity – video segmentation techniques.
- Flipped classroom on description about video data mining methods.
Suggested Evaluation Methods:
- Assignments on video segmentation techniques.
- Quiz on video data mining methods.
Unit IV
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Unit V
Emerging Trends
Affective Video Content Analysis – Parsing a Video into Semantic Segments – Video Indexing and Abstraction for Retrieval – Automatic Video Trailer Generation- Video in painting- Forensic Video Analysis.
Suggested Activities:
- External learning – Survey on Affective Video Content Analysis.
- Flipped classroom on discussion on forensic video analysis.
- Practical – Automatic video trailer generation.
Suggested Evaluation Methods:
- Assignments on affective video content analysis.
- Quiz on forensic video analysis.
- Evaluation based on demonstration.
Course Outcome:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
Text Books:
- A. Murat Tekalp, “Digital Video Processing”, Second Edition, Prentice Hall, 2015.
- Oges Marques, “Practical Image and Video Processing Using MATLAB”, Wiley and Sons (IEEE Press), 2011.
References:
- Anand Rajaraman, Jeffrey David Ullman, “Mining of Massive Datasets”, Cambridge University Press, 2012.
- Alan C. Bovik, “Handbook of Image and Video processing”, Second Edition, Academic Press, 2005.
For detailed syllabus of all the other subjects of Information Technology 8th Sem, visit IT 8th Sem subject syllabuses for 2019 regulation.
For all Information Technology results, visit Anna University IT all semester results direct link.