The algorithms for Multimedia data processing are mostly based and derived from the general signal processing techniques, using standard transforms such as Fourier transform, Discrete cosine transform, Wavelets transform, etc.
In order to bring a new perspective into the Multimedia data acquisition, compression and representation, the Compressive sensing theory and its application to Multimedia data is currently one of our most prominent research topic.
During the last decade digital watermarking has become an active research area focused on digital data protection. The modern multimedia systems require powerful data protection algorithms.
As one of the basic types of Multimedia data, the audio and speech signals processing is practiced within the Lab. The basic properties of music and speech signals are analyzed, together with the concepts of human speech production and hearing system.
Different aspects of digital image processing are conducted within our research Lab as well
as a part of our professional educational activities: basic mathematical concepts behind
common arithmetical, geometrical transforms, filtering and compression.
Video signals, as a specific type of multimedia data require sophisticated processing algorithms. Algorithms for compression of digital video signals are of great importance, not only for multimedia applications, but also for digital video transmission.
Storage and Transmission
Important educational segment of our activities is related to the storage and transmission possibilities for managing Multimedia data, with the special attention devoted to CD coding techniques.
Telemedicine has been considered as a new and perspective research area which uses the advantages of multimedia systems to provide efficient medical services at the distance.
We also deal with the practical aspects of data transmission and communications, including a modern web design technologies and information systems design.