CALL FOR PAPERS
MDM/KDD2005 - Sixth
International Workshop on Multimedia Data Mining (August 21, 2005)
in conjunction with KDD
2005: The Eleventh ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining. August 21-24,
2005 Chicago, IL, USA
MDM/KDD2005 WORKSHOP THEME: “Mining
Integrated Media and Complex Data"
Paper submission due 31 May 2005
WORKSHOP CHAIRS
Fatma Bouali – University of Lille2, France
email: Fatma.Bouali@univ-lille2.fr
Latifur Khan – University of Texas at Dallas
email: lkhan@utdallas.edu
Florent Masseglia – INRIA Sophia Antipolis, France
email: florent.masseglia@sophia.inria.fr
WORKSHOP STEERING COMMITTEE
Chabane Djeraba - University of Sciences and Technologies of Lille, France
Valery A. Petrushin Accenture Technology Labs, USA
Simeon J. Simoff - University of Technology Sydney, Australia
WORKSHOP PROGRAM COMMITTEE (to be confirmed)
|
Ramazan S. Aygun
|
University of Alabam, Huntsville
|
|
John
Risch Battelle
|
Pacific
Northwest National Lab, USA
|
|
Omar
Boussaid
|
University of Lyon 2, France
|
|
K.
Slecuk Candan
|
Arizona State University, USA
|
|
Claude
Chrisment
|
University of Toulouse, France
|
|
Chitra Dorai
|
IBM Thomas J. Watson Research
Center, USA
|
|
Alex
Duffy
|
University of Strathclyde, UK
|
|
Pierre
Gançarski
|
University of Strasbourg, France
|
|
William
Grosky
|
University of Michigan,USA
|
|
Howard
J. Hamilton
|
University of Regina, Canada
|
|
Wynne
Hsu
|
National
University of Singapore, Singapore
|
|
Oktay Ibrahimov
|
Institute
of Cybernetics, Azerbaijan
|
|
Manfred
Jeusfeld
|
Tilburg University, Netherlands
|
|
Joemon M Jose
|
University of Glasgow, UK
|
|
Odej Kao
|
Technical
University of Clausthal,
Germany
|
|
Paul
Kennedy
|
University of Technology-Sydney, Australia
|
|
Brian
Lovell
|
University of Queensland, Australia
|
|
Mark
Maybury
|
MITRE
Corporation
|
|
Dennis
McLeod
|
University of Southern
California, USA
|
|
Dunja Mladenic
|
J.
Stefan Institute, Slovenia
|
|
Milind Naphade
|
IBM T.J. Watson Research Center, USA
|
|
Mario
Nascimento
|
University of Alberta, Canada
|
|
Monique
Noirhomme-Fraiture
|
Institut d’Informatique, FUNDP, Belgium
|
|
Andreas
Nürnberger
|
University of Magdeburg, Germany
|
|
Vincent
Oria
|
New
Jersey Institute of technology, USA
|
|
Tom
Osborn
|
The
NTF Group, Australia
|
|
Balakrishnan Prabhakaran
|
University of Texas at Dallas
|
|
Christian
Preda
|
University of Lille 2, France
|
|
Simone
Santini
|
University of California, San
Diego, USA
|
|
John
R. Smith
|
IBM T. J. Watson Research Center, USA
|
|
Yuqing Song
|
The
University of Michigan
at Dearborn
|
|
Sundar
|
Venkataraman (Rockwell Scientific Corporation)
|
|
Zhaohui Tang
|
Microsoft, USA
|
|
Brigitte
Trousse
|
INRIA
Sophia Antipolis, France
|
|
Duminda Wijesekera
|
George Mason
University, USA
|
|
Wensheng Zhou
|
Hughes
Research Lab, USA
|
|
Djamel Zighed
|
University of Lyon 2, France
|
DEADLINES
Submissions Due: 31 May, 2005
Acceptance: 21 June, 2005
Camera ready copy: 11 July, 2005
Workshop Day: 21 August, 2005
WORKSHOP MISSION
This year the Multimedia Data Mining
workshop will bring together a diverse group of academics and industry practitioners
in integrated state-of-art analysis of digital media content, multimedia
database systems and multimedia data streams. The workshop will address issues
specifically related to mining information from multi-modality, multi-source,
multi-format data in an integrated way. This workshop also
focus on semantic understanding of multimedia content, and knowledge
discovery in other complex data. Many analysis domains collect data from
several sources, including static databases, streaming data, web pages, or
conditionally collected data. Data appear in multiple forms, including
structured, numeric, free text, video, image, speech, or combinations of
several types. Analysis in these domains requires combining of techniques and
integrating methods.
TOPICS OF INTEREST
The major topics of the workshop include but are not limited to the following groups:
- Integrated mining of
different data formats (text, speech, video, structured, image,
relational data)
- Combining mining
results from different sources
- Integrated mining
methods for eBusiness
- Combined mining
methods for engineering and manufacturing
- Integrated mining for
Homeland Security
- Mining of data streams
combined with structure data
- Visual data mining of
multi-format/ Multimedia data
- Multi-relational Data
Mining. The focus is on mining data residing in relational databases.
- Visual data mining of
multi-format/multimedia data.
- Theoretical frameworks
for multimedia data mining.
- Multimedia data mining
methods and algorithms.
- Multimedia data
sampling and preprocessing.
- Data visualization and
sonification.
- Representation and
reuse of discovered knowledge.
- Multimedia data
descriptions languages and formats.
- Evaluation of
‘interestingness’, ‘novelty’ and validity of results.
- Topic and event
detection in multimedia data (including video).
- Extracting semantics
from multimedia databases.
- Mining scientific
multimedia data.
- Integrated data mining
in multimedia information systems.
- Knowledge discovery in
facial data.
- Man-machine interfaces
for multimedia data mining.
- Complexity, efficiency
and scalability of multimedia data mining algorithms.
- Data mining virtual
communities and virtual worlds.
- Data mining in
collaborative virtual environments and virtual reality systems.
- Visual and audio
support for multimedia mining.
- Visual data mining of
multimedia data.
- Multi-agent
environments for concurrent mining of heterogeneous data.
- Real-time multimedia
data mining systems.
- Using MPEG-4 and
MPEG-7 standards for multimedia data mining.
- Semantic content
analysis for multimedia retrieval
- Multi-modal multimedia
retrieval
- Retrieval of
multimedia semantics
- Multimedia retrieval
for pervasive devices
- Semantic web and
annotation
- Mining and analysis of
data generated by virtual reality systems,
- Discovery in musical
data,
- Knowledge Discovery in
other complex data (Spatial, VRML, XML, etc.),
Software demonstrations are welcome. We
encourage submissions of ‘greenhouse’ work, which present early stages of
cutting-edge research and development.
SUBMISSION
There is no restriction on the length of
submissions. Contact author and email address should be specified. Electronic
submissions of papers in PDF, PS, RTF or Microsoft Word Document formats are
preferable. Submission templates are available at the workshop website. The
electronic submission can be done via the conference management system at the
workshop website or by email to the Workshop contact (Fatma.Bouali@univ-lille2.fr,
lkhan@utdallas.edu,
florent.masseglia@sophia.inria.fr)
DISSEMINATION
Peer-reviewed papers, accepted for presentation at the workshop will be published in the workshop proceedings. The workshop organisers plan to publish an edited collection of longer and revised contributions, either as a special issue of related journal or as an edited book.
For details, please, visit the workshop Web site at:
http://www-sop.inria.fr/axis/mdm-kdd05/MDM05.htm