Selected Topics in Video Processing
Study plans 2016-2017 - IMT6161 - 5 ECTS


  • Fundamental programming and algorithms
  • Fundamental image processing
  • Fundamental video processing

Expected learning outcomes

Expected learning outcomes

Having completed the course, the student should have gained knowledge, skills and general competences related to selected topics in video processing.


  • The student is in the forefront of knowledge of core issues from different sub-areas of video processing research including video segmentation, video coding, video analyses, multiview video, 3D video, video enhancement and video quality evaluation,
  • He would have achieved in-depth knowledge of one of these core areas through independent study,
  • He would have the ability to discuss (i.e. to describe, analyze, reason about and implement) how digital video may be represented, processed, encoded and transmitted.


  • Make appropriate use of mathematical techniques in video processing and analyses. 
  • Demonstrate the use of by implementing techniques such as adaptive algorithms, scalable approaches and real-time techniques to solve problems in video processing applications.

General competences:

  •  Be able to review scientific publications from interdisciplinary areas related to video analyses, 3D and multi-view video, target tracking, activity recognition, and propose new approaches to analyze the video data.
  • The candidate has the ability of appreciation of the impact of (i.e. to describe, analyze, reason about) recently published research in video processing.


  • Theory and applications of motion estimation
  • Video Coding
  • Video Segmentation
  • Object detection and tracking in video
  • Multi-view video processing
  • 3D video
  • Video Enhancement
  • Video quality evaluation
  • Content-based Video Retrieval

Teaching Methods

Net Support Learning
Project work

Form(s) of Assessment


Form(s) of Assessment (additional text)

Candidates must provide two papers. One is a term paper on a topic chosen by the candidate in coordination with the lecturer (see below), the other is a final report with an other area, beyond that covered by the candidate in the term paper, must be described concisely.

  • Presentation on the selected topic followed by a question and answer session with some practical demonstration of the techniques when possible.
  • A term paper and a final paper.
  • Candidates must pass all parts.

Grading Scale


External/internal examiner

Internal examiner.

External examiner (or external and internal) within 5 years period, next time at latest in 2017.

Re-sit examination

The whole course must be repeated.

Coursework Requirements


Teaching Materials

Textbooks, monographs, and recent research articles including but not limited to:

  • Gonzalez and Woods: Digital Image Processing, Prentice Hall, 2002.
  • Aghajan and Cavallaro: Multi-camera Networks, Academic Press, 2009.
  • Ristic, Arulampalam and Gordon: Beyond Kalman Filter, Artech House, 2004.
  • MPEG standards reference documents.
  • Recent journal and conference papers.