IMT4890 - Specialisation in Video Processing


Examination arrangement

Examination arrangement: Oral examination/Project work
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Project work/Report 4/10
Oral examination 6/10

Course content

We will mainly focus on video analysis for video surveillance and video guided surgery applications including:

  • Video indexing, summarization, and retrieval. -Video meta-data extraction and representation.
  • Audio and video semantic analysis.
  • Object detection and tracking.
  • Video processing in the compressed domain.
  • Multi-camera systems and multi-camera data fusion and processing.
  • Objective as well as subjective video quality evaluation techniques.
  • 3D and multi-view video compression.
  • 3D organ reconstruction from image sequences.
  • Deep learning for medical image processing
  • Deep learning for video surveillance

Learning outcome

Having completed the course, the students will -Possess advanced knowledge within the area of media technology, with emphasis on representing, analyzing, compressing and processing video. -Possess specialized insight and good understanding of the research frontier in selected parts of video analysis for video surveillance and video guided surgery applications specifically.

Skills and general competence: -Be able to use relevant and suitable methods when carrying out further research and development activities in the area of video analysis -Be able to critically review relevant literature when solving the assigned problem or topic. -Be able to give a presentation and demo about their findings.

Learning methods and activities

-E-learning -Seminars

Additional information: -Lectures by the course instructor and guest lectures by invited experts. Student presentations on selected topics.

E-learning material will be available for this course: PDF of the lectures and student presentations, and possibly audio of the lectures. These E-lectures material will be available on an e-Learning platform (Blackboard). Which will also be used for discussions with the teacher and between the students.

Compulsory requirements: -Oral presentation. Study one topic and present it at one of the lectures or implement an advanced algorithm and report on it.

Compulsory assignments

  • Coursework Requirements

Further on evaluation

Re-sit: One re-sit for the Oral re-examination may be offered for valid reasons only, needs to have the presentation/implementation and report accepted to be allowed for the re-sit.

Forms of assessment: -20-30 min Oral Exam, individually (counts 60%, evaluated by lecturer) / video conference via Skype for distance students may be arranged -Topic Presentation and report (counts 40%, evaluated by lecturer) / Distance students will be required to do implementation work or a topic study and report. -Each part must be individually approved of.

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Admission to a programme of study is required:
Applied Computer Science (MACS)
Applied Computer Science (MACS-D)
Colour in Science and Industry (COSI) (MACS-COSI)
Computational Colour and Spectral Imaging (MSCOSI)

Required previous knowledge

IMT4305 Image processing and analysis or equivalent courses

Course materials

Research papers and book chapters from various books. Material will be advertised on the course pages before the start of the course.

Credit reductions

Course code Reduction From To
IMT5281 5.0 AUTUMN 2017
More on the course



Version: 1
Credits:  7.5 SP
Study level: Second degree level


Term no.: 1
Teaching semester:  AUTUMN 2021

Language of instruction: English

Location: Gjøvik

Subject area(s)
  • Computer Science
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science


Examination arrangement: Oral examination/Project work

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Oral examination 6/10
Room Building Number of candidates
Autumn ORD Project work/Report 4/10
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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