| | SUBMISSION DUE DATE: October 18, 2010
SPECIAL ISSUE ON Multimedia Semantic Computing
International Journal of Multimedia Data Engineering and Management (IJMDEM)
Guest Editors:
Chengcui Zhang, The University of Alabama at Birmingham, USA
Hongli Luo, Indiana University - Purdue University Fort Wayne, USA
Min Chen, University of Montana, USA
INTRODUCTION:
Recent advances in storage, hardware, information technology, communication and
networking have resulted in a large amount of multimedia data, such as image,
audio and video. Multimedia data is used in a wide range of applications of
entertainment, digital libraries, health care, and distant learning. Efficient
methods to extract knowledge from multimedia content have attracted the
interests of a large research community. The volume of multimedia data presents
great challenges in data analysis, indexing, retrieval, distribution and
management. The increasing popularity of mobile device, such as smart phones,
PDA, has demands for pervasive multimedia service which can adapt video
contents to match users preferences. New research trends such as semantic
computing, multi-modality interaction and cross-mining, cooperative processing,
new multimedia standard (e.g., MPEG-21), Quality of Service (QoS), and security
social networking provide both challenges and opportunities for multimedia
research.
Semantic computing can be defined as Computing with (Machine processable)
Description of Content and Intentions. Semantic technique can be used to
extract the content of multimedia, texts, services, and structured data. The
scope of semantic computing is now extended to many domains and applications
such as information retrieval, knowledge management, natural language
processing and data mining. Semantic can enrich the methods of multimedia
research and brings new research area in multimedia semantic computing.
Multimedia semantic computing is the application of semantic computing to
multimedia data. Researches in multimedia application can exploit the richness
of semantic to enhance the performances of services. The understanding of
multimedia data at the semantic level can bring new research methods to various
domains of multimedia applications such as signal processing, content-based
retrieval, and data mining. The application of semantic computing to multimedia
is further motivated by the human-computer interaction in multimedia
management. The convergence of semantic and multimedia facilitates the
management, use and understanding of data in traditional multimedia
applications such as multimedia analysis, indexing, annotation, retrieval,
delivery and management.
While multimedia semantic computing changes the multimedia application and
service via semantic concepts, several issues related to semantic modeling and
visual analysis still remain challenging. One of the major challenging research
topics is how to bridge the gap between low-level features of multimedia data
and the high-level meanings of multimedia contents. Low-level features such as
color, texture and shape can be automatically extracted from the multimedia
data. How to model the semantic concepts based on the low-level feature is the
prerequisite for multimedia analysis and indexing. The high-level semantic
concepts of multimedia data can facilitate content-based applications, for
example, image/video classification, retrieval of image and event of particular
interest in the video. Semantic features can also be integrated with other
techniques, such as user relevance feedback, annotations, multimodalities and
metadata management, to efficiently and effectively retrieve the multimedia
data.
The emerging pervasive multimedia computing applications deliver and present
data to mobile users. Rich semantic of multimedia data can be exploited in
context-aware computing application to provide personalized services. The
provision of the data is envisioned to be adaptive to the location, time,
devices and user preferences. Challenges related to this issue include the
representation of context of multimedia data using semantic concepts, semantic
user interface, and personalization for interface with multimedia data.
OBJECTIVE OF THE SPECIAL ISSUE:
The goal of this special issue is to show some of the current research in the
area of multimedia semantic computing. To this aim, we will bring together a
number of high-quality and relevant papers that discuss the state-of-the-art
research on semantic-based multimedia systems, present theoretic framework and
practical implementations, and identify challenges and open issues in
multimedia semantic modeling and integration. The special issue calls for
research in various domains and applications, including pervasive multimedia
computing systems, personalized multimedia information retrieval systems which
adapt to the user's needs, integration of semantic content and schema from
distributed multimedia sources so that the user sees a unified view of
heterogeneous data, clustering and classification of semantically tied
information in different multimedia modalities, security issues in
multimedia/hypertext systems, and so forth. We hope this special issue will
show a broad picture of the emerging semantic multimedia research.
RECOMMENDED TOPICS:
Topics to be discussed in this special issue include (but are not limited to)
the following:
Distributed multimedia systems
Human-centered multimedia computing
Image/video/audio databases
Mobile multimedia computing
Multimedia assurance and security
Multimedia data mining
Multimedia data modeling
Multimedia data storage
Multimedia data visualization
Multimedia retrieval (image, video, audio, etc.)
Multimedia streaming and networking
Multimodal data analysis and interaction
Novel applications, such as biomedical multimedia computing and
multimedia forensics
Semantic content analysis
Semantic integration and meta-modeling
Social network analysis from a multimedia perspective
SUBMISSION PROCEDURE:
Researchers and practitioners are invited to submit papers for this special
theme issue on Multimedia Semantic Computing on or before October 18, 2010. All
submissions must be original and may not be under review by another
publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNALS GUIDELINES FOR
MANUSCRIPT SUBMISSIONS at
http://www.igi-global.com/development/author_info/guidelines submission.pdf.
All submitted papers will be reviewed on a double-blind, peer review basis.
Papers must follow APA style for reference citations.
ABOUT International Journal of Multimedia Data Engineering and Management
(IJMDEM):
The primary objective of the International Journal of Multimedia Data
Engineering and Management (IJMDEM) is to promote and advance multimedia
research from different aspects in multimedia data engineering and management.
It provides a forum for university researchers, scientists, industry
professionals, software engineers and graduate students who need to be become
acquainted with new theories, algorithms, and technologies in multimedia
engineering, and to all those who wish to gain a detailed technical
understanding of what multimedia engineering involves. Novel and fundamental
theories, algorithms, technologies, and applications will be published to
support this mission.
This journal is an official publication of the Information Resources Management
Association
www.igi-global.com/ijmdem
Editor-in-Chief: Shu-Ching Chen
Published: Quarterly (both in Print and Electronic form)
PUBLISHER:
The International Journal of Multimedia Data Engineering and Management
(IJMDEM) is published by IGI Global (formerly Idea Group Inc.), publisher of
the Information Science Reference (formerly Idea Group Reference) and Medical
Information Science Reference imprints. For additional information regarding
the publisher, please visit www.igi-global.com.
All submissions should be directed to the attention of:
Chengcui Zhang
Guest Editor
International Journal of Multimedia Data Engineering and Management
E-mail: zhang@cis.uab.edu
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