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Course unit
IMAGE AND VIDEO ANALYSIS
INP4064217, A.A. 2014/15

Information on the course unit
Degree course Second cycle degree in
TELECOMMUNICATION ENGINEERING
IN0524, Regulation 2008/09, A.Y. 2014/15
1115183
Number of ECTS credits allocated 9.0
Course unit English denomination IMAGE AND VIDEO ANALYSIS
Department of reference Department of Information Engineering
Mandatory attendance No
Language of instruction English
Campus PADOVA

Lecturers
Teacher in charge PIETRO ZANUTTIGH ING-INF/03

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses ING-INF/03 Telecommunications 9.0

Mode of delivery (when and how)
Period Second semester
Year 1st Year
Teaching methods frontal

Organisation of didactics
Type of hours Credits Hours of
teaching
Hours Individual
study
Shifts
Lecture 9.0 72 153.0 No turn

Calendar
Start of activities 02/03/2015
End of activities 12/06/2015

Examination board
Board From To Members of the board
2 A.A. 2015/2016 01/10/2015 30/09/2017 ZANUTTIGH PIETRO (Presidente)
MILANI SIMONE (Membro Effettivo)
CALVAGNO GIANCARLO (Supplente)
CORVAJA ROBERTO (Supplente)
ERSEGHE TOMASO (Supplente)
LAURENTI NICOLA (Supplente)
ZANELLA ANDREA (Supplente)
1 A.A. 2014/2015 01/10/2014 15/03/2016 ZANUTTIGH PIETRO (Presidente)
MILANI SIMONE (Membro Effettivo)
CALVAGNO GIANCARLO (Supplente)
CORVAJA ROBERTO (Supplente)
ERSEGHE TOMASO (Supplente)
LAURENTI NICOLA (Supplente)
TOMASIN STEFANO (Supplente)
ZANELLA ANDREA (Supplente)

Syllabus
Prerequisites: "Elaborazione numerica dei segnali" (Digital signal processing), recommended but not mandatory
Target skills and knowledge: The course aims at presenting the principles and techniques for image and video analysis and processing. The knowledge necessary for the practical application of the presented techniques will also be provided. Finally some widely used image and video coding standards will be presented.
Examination methods: Written exam, homeworks and final project
Assessment criteria: The student will need to demonstrate that he has acquired the basic theoretical concepts of the course and that he is able to apply the theory to practical image and video processing and analysis tasks (the last aspect will be evaluated also through the homeworks and the final project).
Course unit contents: 1) Introduction: Radiometry, image formation, colorimetry
2) Image processing: Intensity transformations, histogram-based transformations, linear and non-linear filters
3) Image analysis: Edge detection , corner detection, image segmentation, feature extraction (Hough transform, SIFT), scale space analysis
4) Video processing: Motion detection and analysis, motion-compensated filtering, tracking
5) Image and video coding: Information theory, lossless and lossy coding, predictive methods, transform coding (DCT), applications (PNG, JPEG and MPEG standards).
Planned learning activities and teaching methods: Lectures and laboratories

Laboratories subjects: Image acquisition, color reproduction, feature extraction and image mosaics, motion detection and tracking.
Additional notes about suggested reading: Slides and other documents from the instructor

Book(suggested):

Raphael C. Gonzales and Richard E. Woods, "Digital Image Processing", 3rd Edition, Prentice-Hall, Upper Saddle River, N.J. (USA), 2008
Textbooks (and optional supplementary readings)
  • Raphael C. Gonzales, Richard E. Woods, Digital Image Processing. Upper Saddle River, N.J. (USA): Prentice-Hall, 2008. Cerca nel catalogo