Volume 3 Number 1
Special Issue on Multimedia Technologies and Informing Science, Part II

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An Introduction to Face Recognition Technology

Shang-Hung Lin
IC Media Corporation

Recently face recognition is attracting much attention in the society of network multimedia information access.  Areas such as network security, content indexing and retrieval, and video compression benefits from face recognition technology because "people" are the center of attention in a lot of video.  Network access control via face recognition not only makes hackers virtually impossible to steal one's "password", but also increases the user-friendliness in human-computer interaction.  Indexing and/or retrieving video data based on the appearances of particular persons will be useful for users such as news reporters, political scientists, and moviegoers.  For the applications of videophone and teleconferencing, the assistance of face recognition also provides a more efficient coding scheme.  In this paper, we give an introductory course of this new information processing technology.  The paper shows the readers the generic framework for the face recognition system, and the variants that are frequently encountered by the face recognizer.  Several famous face recognition algorithms, such as eigenfaces and neural networks, will also be explained. 


Applications of Scalable Multipoint Video
and Audio Using the Public Internet

Robert D. Gaglianello & Marah F. Rosenberg
Bell Laboratories, Lucent Technologies

This paper describes a scalable multipoint video system, designed for efficient generation and display of high quality, multiple resolution, multiple compressed video streams over IP-based networks. We present our experiences using the system over the public Internet for several “real-world” applications, including distance learning, virtual theater, and virtual collaboration. The trials were a combined effort of Bell Laboratories and the Gertrude Stein Repertory Theatre (TGSRT). We also present current advances in the conferencing system since the trials, new areas for application and future applications.


Using a Virtual Room Platform To Build a Multimedia Distance Learning Environment For The Internet

Allen Ginsberg, Dennis Shiau, & Bryan Sampieri
Bell Labs, Lucent Technologies

Education and training are expected to change dramatically due to the combined impact of the Internet and multimedia technologies. A challenge for internet-based education systems is to allow educators and trainers to work from known models, while simultaneously letting them experiment with innovations without requiring frequent retooling. Work in distance learning, while of interest in its own right, is important to our general research program as a test bed for our ideas. The basic research program is to provide a general foundation, or set of "primitive" classes, for building remote collaboration environments, and then to build toolkits using these classes, and other more specific classes, that will address the particular requirements of various collaboration environments. Our basic premise is that the virtual room concept together with other fundamental concepts provides such a foundation. In this paper we discuss our virtual room platform and a distance-learning environment called PERSYST. PERSYST has been used in several distance-learning trials; we close this paper with a discussion of the trials and what we have learned from them.


Advanced Signal Processing
for Wireless Multimedia Communications

Xiaodong Wang
Texas A & M University

There is at present a worldwide effort to develop next-generation wireless communication systems. It is envisioned that many of the future wireless systems will incorporate considerable signal-processing intelligence in order to provide advanced services such as multimedia transmission. In general, wireless channels can be very hostile media through which to communicate, due to substantial physical impediments, primarily radio-frequency interference and time-arying nature of the channel. The need of providing universal wireless access at high data-rate (which is the aim of many merging wireless applications) presents a major technical challenge, and meeting this challenge necessitates the development of advanced signal processing techniques for multiple-access communications in non-stationary interference-rich environments.

In this paper, we present some key advanced signal processing methodologies that have been developed in recent years for interference suppression in wireless networks. We will focus primarily on the problem of jointly suppressing multiple-access interference (MAI) and intersymbol interference (ISI), which are the limiting sources of interference for the high data-rate wireless systems being proposed for many emerging application areas, such as wireless multimedia. We first present a signal subspace approach to blind joint suppression of MAI and ISI. We then discuss a powerful iterative technique for joint interference suppression and decoding, so-called Turbo multiuser detection, that is especially useful for wireless multimedia packet communications. We also discuss space-time processing methods that employ multiple antennas for interference rejection and signal enhancement. Finally, we touch briefly on the problems of suppressing narrowband interference and impulsive ambient noise, two other sources of radio-frequency interference present in wireless multimedia networks.