Image and Video Analytics detailed syllabus for Computer Science & Engineering (CSE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the CSE 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 Computer Science & Engineering 5th Sem scheme and its subjects, do visit CSE 5th Sem 2021 regulation scheme. For Professional Elective-I scheme and its subjects refer to CSE 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 Computer Science & Engineering 5th Sem, visit CSE 5th Sem subject syllabuses for 2021 regulation.
For all Computer Science & Engineering results, visit Anna University CSE all semester results direct link.