Our research philosophy is to do problem-driven research in multimedia systems which explore the development of novel algorithms and techniques. There are two main themes of our research work: content-based multimedia information processing and multimedia information security. Both are systems research areas which have fundamental conceptual issues arising out of real-world problems. So their flavor is a blend of both basic and applied research.
The long-term goal of this research program is to develop fundamental techniques, algorithms and applications which can allow multimedia data to be utilized with as much ease as text data can be on today’s computers. The medium-term aim of this research is to develop techniques for semantic content-based processing of image, video and audio, to provide intuitive access and retrieval to image, video and audio information, and to provide tools for processing, analyzing & synthesizing images, video and audio. In the short term, this research will have a major impact on many areas such as consumer electronics, web-based services, social media, video surveillance and media security & privacy. The long-term impact will be on the advancement of the state of understanding of sensory information processing.
Social networks are social communities linked over the internet facilitated by digital media. Cyber-physical systems are engineered sensor-actuator systems that connect the cyber and physical worlds. At the intersection of these two are the “social cyber-physical systems” which will be the emphasis of this centre.
SeSaMe Research Centre focus on long-term research on sensor-enhanced social media that enables linking of static and mobile cyber-physical environments over the Internet by the abstraction of sensing, processing, transportation and presentation and to enable the design of social media applications on cyber-physical systems through research advances that will transform the world by providing systems that respond more quickly (for example, through the use of interactive interfaces), are more precisely (for example, through the use of sensor/actuator-enhanced instruments), work in dangerous or inaccessible environments (for example, through the use of autonomous systems for search and rescue, monitoring, and exploration), provide large-scale, distributed coordination (for example, through the use of sensor-based health/disaster monitoring and response), are highly efficient (for example, through the use of smart buildings), augment human capabilities, and enhance societal wellbeing (e.g., assistive technologies and sensor-enhanced social networks).