Rapid advances in multimedia technology necessitate the development of
a generic multimedia information system with a powerful retrieval eng
ine for prototyping multimedia applications. We develop a content-base
d retrieval engine (CORE) that makes use of novel indexing techniques
for multimedia object retrieval. We formalize the concepts related to
multimedia information systems such as multimedia objects and content-
based retrieval. We bring out the requirements and challenges of a mul
timedia information system. The architecture of CORE is described in d
etail along with the associated retrieval mechanisms and indexing tech
niques. Various modules developed for efficient retrieval are presente
d with some APIs. The efficacy of CORE is demonstrated in the developm
ent of two multimedia systems, a computer-aided facial image inference
and retrieval (CAFIIR) system and a system for trademark archival and
retrieval (STAR), which have been developed at the Institute of Syste
ms Science (ISS). We expect that CORE will be useful for effective pro
totyping of other such multimedia applications.