Content-based information retrieval, especially content-based image retrieval (CBIR) has been one on the most vivid research areas in the field of computer vision over the last 10 years. The availability of large and steadily growing amounts of visual and multimedia data and the development of the Internet underline the need to create thematic access methods that offer more than simple text-based queries or requests based on matching exact database fields. Many programs and tools have been developed to formulate and execute queries based on the visual or audio content and to help browsing large multimedia repositories. Still, no general breakthrough has been achieved with respect to large varied databases with documents of differing sorts and with varying characteristics.
In the medical field, images, and especially digital images, are produced in ever-increasing quantities and used for diagnostics and therapy. Research in content-based informatics is led by two Faculties, the Faculty of Information Science and Technology and Faculty of Engineering and Built Environment. Work has focused on multi-media applications in education, smart systems, artificial intelligence, signal processing, communications and cybernetics, and products and services engineering.
Prof. Dr. Abdul Razak Hamdan
Faculty of Information Science and Technology (FTSM)
Universiti Kebangsaan Malaysia
43600 Bangi, Selangor.