Multimedia signal processing and networking
This research area is devoted to the development of multimedia applications for the wired and wireless environment. The development of mobile systems and their market penetration is growing impressively and the scientific community largely agrees upon the opinion that the wireless applications are the future of research and development in the field of multimedia. Multimedia services such asvideo on demand,e-commerce,videoconferencing, interactivetele-teaching,tele-medicine, on-linemultimedia library,exchange of videos and many more even difficult to imagine nowadays, are expected to be accessed also by mobile users. In this vision, the paradigm of personal multimedia communication systems - "anyone, anywhere, anytime" - would be fulfilled.
The advent of third generation networks, keeping apart their impact on human life, poses new fascinating challenges to researchers in the field of communications and multimedia applications. Furthermore, communication system evolution will most likely raise theend-user's expectations regarding the Quality of Service: the transition from so-called communications quality to premium, or near-premium, quality forces the study of techniques ensuringmore reliable signal delivery.
The research approach is interdisciplinary, involving both signal processing and hardware (ASICs, DSP, FPGA) expertise. The main research topics currently developed by IPL researchers are:
- Development and implementation of computationally efficient lossy and lossless image encoders
- DSP, FPGA, ASICs implementations of coding standards (MPEG, JPEG2000)
- Development of error resilient techniques for image transmission: concealment algorithms, robust encoders, joint source/channel approaches are currently being investigated
- Video processing and transmission
- Wavelet, filter banks and lifting scheme
- Signal processing applied to image, video and multimedia processing, including error-resilient and distributed multimedia communications (SPIHT and JPEG2000), lossless, near-lossless and lossy compression of remote sensing imagery
- Mathematical theory of signal processing, including time-frequency analysis, dynamical systems, nonstationary processes