course-details-portlet

IMT4890

Specialisation in Video Processing

Lessons are not given in the academic year 2016/2017

Credits 7.5
Level Second degree level
Language of instruction English

About

About the course

Course content

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

Video indexing, summarization, and retrieval.

Video meta-data extraction and representation.

Audio and video semantic analysis.

Surveillance video analysis for event detection.

Surveillance video coding.

Video processing in the compressed domain.

Multicamera systems and multicamera data fusion and processing.

Objective as well as subjective video quality evaluation techniques.

3D and multi-view video compression.

Of specific interest is multi-camera systems and multi-camera data fusion and processing.

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 analyses for surveillance applications specifically

Be able to use relevant and suitable methods when carrying out further research and development activities in the area of video analyzes

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

Nettstøttet læring|Samling(er)/seminar(er)

Utfyllende informasjon:

Lectures by the course instructorGuest lectures by invited expertsStudent presentations on selected topicsE-learning material will be available for this course: PDF of the lectures and student presentations, and audio of the lectures. These E-lectures material will be available on an Fronter. Which will be used also for discussion with the teacher and between the students.

Obligatoriske arbeidskrav:

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

Further on evaluation

Utfyllende om kontinuasjon:

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.

Vurderingsformer:

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

Admission to a programme of study is required:
Applied Computer Science (MACS)

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
IMT5281 5 sp
This course has academic overlap with the course in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Computer Science

Contact information

Department with academic responsibility

Department of Computer Science

Examination

Examination