Deep Learning for Visual Quality Assessment in the Wild
In this seminar we cover topics relevant to the current Bachelor, Master, and PhD projects in the Multimedia Signal Processing Group.
- Image and video quality assessment (IQA/VQA): Nowadays, multimedia data are ubiquitous. You take pictures and videos with your camera and camcorders everyday. Have you thought about how you can judge the perceptual quality of the pictures and videos you made and how good your camera/camcorder is? In this seminar, we will discuss algorithms for image and video quality assessment. Topics will be related to our ongoing VQA Project in the SFB TRR 161.
- Recently deep learning has been applied to the problem of IQA/VQA and we will cover several approaches in the seminar.
- Besides quality assessment for multimedia, algorithms for assessing similar perceptual properties like aesthetics and enhancement of media have been proposed and will be a topic in the seminar.
- We also discuss crowdsourcing applications not only for multimedia quality assessment, but also for other purposes like social experiments and employing methods of psychometrics for the data analysis.
Requirements for obtaining ECTS credits for this seminar are:
- regular attendance at the weekly seminar
- self-study of one or more scientific papers on selected topics
- oral presentation of 45 minutes including discussion
- written essay on the subject of the presentation (about 10-20 pages, typeset, electronic submission as one pdf)
Students with a keen interest in multimedia signal processing are welcome to participate in the seminar. Especially those that have previously taken relevant courses like, e.g., Digital Signal Processing, Eye Tracking Theory and Practice, Machine Learning Using MATLAB, Deep Learning Programming, Image Processing.