Call for Papers
IEEE Transaction on Neural Networks
Special Issue on Intelligent Multimedia Processing
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Human communication is intrinsically multi-modal. With the advances of
technology, modern communication systems will also become more and more
multi-modal. Hence, multimedia technologies represent new ground for
research interactions among a variety of media such as speech, audio,
image,
video, text and graphics. Future multimedia technologies will need to
handle
information with an increasing level of intelligence, i.e., automatic
recognition and interpretation of multi-modal signals. This is
particularly
emphasised in MPEG-7 which focuses on the 'multimedia content
description
interface'. The description shall be associated with the content itself
to
facilitate fast and effective searching for all the media.
Specifically,
the MPEG-7 research domain will cover techniques for content-based
indexing
and retrieval: pattern recognition, face detection/recognition, and
fusion
of multi-modality.
Intelligent multimedia processing shares three fundamental goals with
biological systems: a) Universal data processing engine
for multi-modal signals; b) Multi-modality; and c) Unsupervised
clustering
and/or supervised learning by examples. Because of these features,
neural networks are attractive candidates for intelligent multimedia
processing and recent activity in the area is a proof of this fact. The
main attribute of neural computing is its adaptive learning capability,
which enables interpretations of possible variations of a same object
or pattern, e.g., with respect to scale, orientation, and perspective.
Moreover, they are able to accurately approximate unknown systems based
on sparse sets of noisy data. Certain neural models also effectively
incorporate statistical signal processing and optimisation techniques.
In addition, spatial/temporal neural structures and hierarchical models
are promising for multi-rate, multi-resolution multimedia processing.
As a
result, many successful applications of neural networks in intelligent
multimedia processing, sometimes combined with fuzzy systems and
evolutionary
computing, have been reported.
The possible topics for the special issue include, but are not limited
to,
the following:
* Neural networks (including BSS and ICA) and other computational
intelligence
models, learning paradigms, and architectures for multimedia
processing.
* Intelligent multimedia processing architectures.
* Multimedia/multichannel data fusion.
* Multi-modal representation and information retrieval: Applications in
hyperlinking of multimedia objects, query and search of multimedia
information including intelligent web agents, 3D object
representation
and motion tracking, image sequence generation and animation.
* Human-computer interaction and communications: face recognition,
lip-reading analysis, facial expression and emotion categorisation,
interactive human-machine vision, speech recognition, speaker
recognition, gesture analysis and recognition, auditory/visual scene
analysis, and multi-modal interaction.
* Multimedia data analysis and visualisation: texture, colour, content,
etc.
* Intelligent network control of audio/video streams in multimedia
networking applications.
Original, previously-unpublished research articles as well as
state-of-the-art tutorial papers will be considered.
Authors should follow the IEEE TNN manuscript format described in the
Information for Authors, which can be found on the inside back cover
of any issue of TNN. Prospective authors are invited to submit papers
to
the website: http://eivind.imm.dtu.dk/tnn.
The following schedule will apply:
Manuscript submission: Jan 15, 2001
Acceptance notification: June 15, 2001
Final manuscripts due: July 31, 2001
Publication: November 2001
Guest Editors:
Tulay Adali, Ling Guan,
Dept of CSEE School of Electrical & Information
Eng.
Univ of Maryland, Baltimore County The University of Sydney
Baltimore, MD 21250 Sydney, NSW 2000
Australia
Jan Larsen Shigeru Katagiri
Dept of Mathematical Modelling ATR
Technical University of Denmark 2-2 Hikaridai
2800 Lyngby Seika-cho, Soraku-gun
Denmark Kyoto 619-02 Japan
Jose Principe
Dept of Electrical & Computer Eng
University of Florida
Gainesville, FL 32611