IEEE Hosted International Symposium on Multimedia 2005 in Irvine

Keynote Speaker Professor de Figueiredo Discusses Intelligent Multi-Media Communication

Keynote Speaker Professor de Figueiredo to Discuss Intelligent Multi-Media Communication

December 7, 2006 – Attracting attendees and researchers from across the world, the Institute of Electrical and Electronics Engineers (IEEE), along with the University of California, Irvine, hosted the IEEE International Symposium on Multimedia (ISM2005) Dec. 12–14 in Irvine, CA.  The symposium featured invited keynote speakers, including UC Irvine’s Rui J.P. de Figueiredo, professor emeritus in Electrical Engineering and Computer Science, who discussed emerging trends and issues regarding intelligent multi-media communication.

This ISM2005 symposium is an international forum created to exchange information regarding advances in the state-of-the-art and practice of multimedia computing, as well as identify the emerging research topics and define the future of multimedia computing.

The technical program at ISM2005 consisted of invited talks, paper presentations, and panel discussions.  The event was hosted at the Hyatt Regency Irvine, and all UC Irvine colleagues and faculty were invited to attend.

The event website is


Intelligent multi-media communication (IMMC) will enable a machine to communicate with a human or with another machine in the same way you and I do. For this purpose, a powerful abstraction is needed to model, design, and implement machines that are capable of detecting, classifying, and interpreting complex events present in the multi-media signal.

With this motivation, we will present and explain, in simple terms, a rigorous abstract approach to IMMC in human/machine systems, whereby the machine is modeled as a Multiple-Input/Multiple-Output (MIMO) Intelligent Multi-Media Signal Processor (IMMSP). The input-output map f of such a MIMO IMMSP resides in an appropriate Reproducing Kernel Hilbert Space F of nonlinear functionals on the multi-media input space. The realization of the optimal model is obtained by an appropriate orthogonal projection in F, subject to design-specification and exemplary input-output-data constraints. Such optimal realizations of MIMO IMMSPs naturally appear in the form of fuzzy neural systems, the fuzziness of which is encapsulated in the reproducing kernel of the space F that gave birth to them.

As required in most applications, the above approach will permit a MIMO IMMSP to be: structurally, a large-scale, parallel, distributed, nonlinear, time-varying, robust (capable of graceful degradation) and affordable system; and functionally, possessing one or more of the capabilities of adaptation, learning (with and without supervision) evolution, and discovery.  These concepts and related developments will be illustrated by examples.


Rui J.P. de Figueiredo, Ph.D., earned a B.S. and M.S. from M.I.T., and a Ph.D. from Harvard.  He is Professor (Above Scale) of Electrical Engineering and Computer Science, Biomedical Engineering, and Mathematics, and Director of the Laboratory for Intelligent Signal Processing and Communications at UC Irvine.  Professor de Figueiredo’s accomplishments and honors can be found on page: