Image and Video Analytics detailed syllabus for Information Technology (IT) for 2021 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 5th Sem scheme and its subjects, do visit IT 5th Sem 2021 regulation scheme. For Professional Elective-I scheme and its subjects refer to IT Professional Elective-I syllabus scheme. The detailed syllabus of image and video analytics is as follows.
Course Objectives:
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Unit I
INTRODUCTION 6 Computer Vision – Image representation and image analysis tasks – Image representations -digitization – properties – color images – Data structures for Image Analysis – Levels of image data representation – Traditional and Hierarchical image data structures.
Unit II
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Unit III
OBJECT DETECTION USING MACHINE LEARNING 6 Object detection- Object detection methods – Deep Learning framework for Object detectionbounding box approach-Intersection over Union (IoU) -Deep Learning Architectures-R-CNN-Faster R-CNN-You Only Look Once(YOLO)-Salient features-Loss Functions-YOLO architectures
Unit IV
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Unit V
VIDEO ANALYTICS 6 Video Processing – use cases of video analytics-Vanishing Gradient and exploding gradient problem-RestNet architecture-RestNet and skip connections-Inception Network-GoogleNet architectureImprovement in Inception v2-Video analytics-RestNet and Inception v3.
List of Exercises:
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Course Outcomes:
At the end of this course, the students will be able to:
- Understand the basics of image processing techniques for computer vision and video analysis.
- Explain the techniques used for image pre-processing.
- Develop various object detection techniques.
- Understand the various face recognition mechanisms.
- Elaborate on deep learning-based video analytics.
Text Books:
- Milan Sonka, Vaclav Hlavac, Roger Boyle, Image Processing, Analysis, and Machine Vision, 4nd edition, Thomson Learning, 2013.
- Vaibhav Verdhan,(2021, Computer Vision Using Deep Learning Neural Network Architectures with Python and Keras,Apress 2021(UNIT-III,IV and V)
Reference Books:
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For detailed syllabus of all the other subjects of Information Technology 5th Sem, visit IT 5th Sem subject syllabuses for 2021 regulation.
For all Information Technology results, visit Anna University IT all semester results direct link.