IMT4811 Image processing and analysis
On the basis of
Good knowledge in image and video processing.
IMT4451 Coding and compression of media data
Expected learning outcomes
After completing the course, the students shall have in-depth insight into and experience with a set of advanced topics in digital video processing and analysis.
We will mainly focus on video analysis: video segmentation, video foreground background estimation, shot-boundary detection, scene cut detection, key frame extraction, video sequence representation. Feature extraction based on color, shape, texture and motion. And their application to video indexing and retrieval. Additionally we will discuss the use of these techniques on videos obtained from two applications: surveillance and education. In both scenarios we will be interested in video analysis and feature extraction to detect special events like detecting an intrusion in a surveillance video or when the lecturer is drawing a figure. We will have a specific interest in multicamera systems and multicamera data fusion and processing. We will also discuss video quality evaluation techniques and their use.
- 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.
Net Support Learning
Teaching Methods (additional text)
Lectures by the course instructor
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 audio of the lectures. These E-lectures material will be available on an LMS. Which will be used also for discussion with the teacher and between the students.
Form(s) of Assessment
Oral exam, individually
Evaluation of Project(s)
Form(s) of Assessment (additional text)
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.
Alphabetical Scale, A(best) – F (fail)
The lecturer will evaluate all parts: oral exam, presentations and reports.
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.
Oral presentation. Study one topic and present it at one of the lectures or implement an advanced algorithm and report on it.
Research papers and book chapters from various books. Material will be advertised on the course pages before the start of the course.
Replacement course for
Preregistration in Fronter is necessary to ensure that the course is offered. The course will not run if less than five students have preregistred by August 20 or by January 20, respectively.