Specialisation in Video Processing

In this course we will discuss state of the art video analysis for video understanding and its applications in different domains; e.g. video surveillance and video guided surgery. Actual topics may include but are not limited to the following topics:

• Video indexing, summarization, and retrieval.
• Video-based object classification.
• 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 video quality evaluation.
• 3D and multi-view video compression.
• Deep learning for medical image processing
• Deep learning for video surveillance

Having completed the course, the students will - Possess advanced knowledge within the area of intelligent video technology, with emphasis on representing, analyzing, compressing and processing video. - Possess specialized insight and good understanding of the research frontier in selected topics of video analysis especially of relevance to video surveillance, video-based navigation and video guided surgery applications.

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 and processing - Be able to critically review relevant literature when solving the assigned problem or topic. - Be able to give a presentation and demonstrate their findings.

-E-learning and Seminars:

Additional information: -Lectures by the course instructors 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/video recordings of the lectures will be provided. These E-lectures material will be available on an e-Learning platform (Blackboard). Which will also be used for discussions with the teachers and between the students.

Compulsory requirements: -Oral presentations. Each student needs to study one topic, make a short introductory presentation (5min) about it and later give a deeper presentation (20-30min) and write a report about the work done and its outcomes.