Dissertation Topic
Embedded Systems for Video/Signal Processing
Academic Year: 2024/2025
Supervisor: Zemčík Pavel, prof. Dr. Ing., dr. h. c.
Department: Department of Computer Graphics and Multimedia
Programs:
Information Technology (DIT) - full-time study
Information Technology (DIT) - combined study
Information Technology (DIT-EN) - full-time study
Information Technology (DIT-EN) - combined study
The topic focuses embedded image, video and/or signal processing. Its main goal is to research capabilities of "smart" and "small" units that have such features that allow for their applications requiring smyll, hidden, distributed, low power, mechanically or climatically stressed systems suitable of processing of some signal input. Exploitation of such systems is perspective and wide and also client/server and/or cloud systems. The units themselves can be based on CPU/DSP/GPU, programmable hardware, or their combination. Smart cameras can be considered as well. Applications of interest include:
- classification of images or objects using machine learning (AI) using traditional methods or through deep convolution networks neural network or similar approaches (e.g. for industrial quality inspection, etc.),
- parallel analysis of signal(s) and video (e.g. for robust detection of occurrence of object in industrial or surveillance applications),
- modern algorithms of video, image, and/or signal exploiting "client/server" or "cloud" (with focus on the technlogy) suitable e.g. for mobile technology and/or embedded systems,
- other similar topics can be individually consulted and considered.
A possibility exists in collaboration on grant projects, especially the newly submitted TAČR, H2020, ECSEL ones (potentially employment or scholarship possible).