JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Course Objectives:

To teach the fundamentals of digital image processing, image and video analysis. To understand the real time use of image and video analytics. To demonstrate real time image and video analytics applications and others.

Course Outcomes

Students will be able to:

Describe the fundamental principles of image and video analysis and have an idea of their application. Apply image and video analysis in real world problems.

UNIT - I

Digital image representation- Visual Perception- Sampling and Quantization- Basic Relations between Pixels- Mathematical Tools Used in Digital Image Processing: Fundamental Operations –Vector and Matric Operations- Image Transforms (DFT, DCT, DWT, Hadamard).

UNIT - II

Fundamentals of spatial filtering: spatial correlation and convolution-smoothing blurring- sharpening- edge detection - Basics of filtering in the frequency domain: smoothing-blurring- sharpening--Histograms and basic statistical models of image.

UNIT - III

Colour models and Transformations – Image and Video Segmentation-Image and video demonising- Image and Video enhancement- Image and Video compression.

UNIT - IV

Object detection and recognition in image and video-Texture models Image and Video 25 classification models- Object tracking in Video.

UNIT - V

Applications and Case studies- Industrial- Retail- Transportation & Travel- Remote Sensing-Video Analytics in WSN: IoT Video Analytics Architectures.

Text Books:

R.C. Gonzalez and R.E. Woods.” Digital Image Processing”. 3rd Edition. Addison Wesley, 2007. W. Härdle, M. Müller, S. Sperlich, A. Werwatz, “Nonparametric and Semi parametric Models”, Springer, 2004. Rick Szelisk, “Computer Vision: Algorithms and Applications”, Springer 2011. Jean-Yves Dufour, “Intelligent Video Surveillance Systems”, Wiley, 2013.

Reference Books:

Caifeng Shan, Fatih Porikli, Tao Xiang, Shaogang Gong, “Video Analytics for Business Intelligence”, Springer, 2012. Asier Perallos, Unai Hernandez-Jayo, Enrique Onieva, Ignacio Julio García Zuazola, “Intelligent Transport Systems: Technologies and Applications”, Wiley, 2015. Basudeb Bhatta, “Analysis of Urban Growth and Sprawl from Remote Sensing Data”, Springer, 2010.

M.Tech. (Data Science) I Year I Semester