IMT5281

Advanced course in video processing

Last taught 2016

Autumn and Spring

English

Overview

8 candidates

Average grade

B

4.13

0.24

Pass rate

100%

same

Grade distribution
Average over time
Pass rate over time

About this 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 outcomes

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

Teaching methods

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.