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CFP: First ACM Workshop on the Many Faces of Multimedia Semantics

From: Chrisa Tsinaraki <chrisa@ced.tuc.gr>
Date: Tue, 10 Apr 2007 11:36:35 +0300
Message-ID: <008901c77b4b$59977410$4001a8c0@chrisa>
To: "MMSem-XG Public List" <public-xg-mmsem@w3.org>

   The First ACM Workshop on the Many Faces of Multimedia Semantics (MS'07)
                             in conjunction with
                             ACM Multimedia 2007

                              September 28, 2007

            University of Augsburg, Augsburg, Germany

Information is increasingly becoming ubiquitous and all-pervasive, with the 
Web as its primary repository. The rapid growth of information on the Web 
creates new
challenges for information retrieval. Recently, there has been a growing 
interest in
the investigation and development of the next generation web - the Semantic 
Web. The
Semantic Web enables programs/agents to automatically understand what data 
is about,
and therefore, bridge the, so-called, semantic gap between the ways in which 
request web resources and the real needs of those users, ultimately 
improving the
quality of web information retrieval.

Multimedia information has always been part of the Semantic Web paradigm, 
but, in general,
has been discussed very simplistically by the Semantic Web community. We 
believe that, rather
than trying to discover a media object's hidden meaning, one should 
formulate ways of managing
media objects so as to help people make more intelligent use of them. The 
relationship between
users and media objects should be studied. Media objects should be 
interpreted relative to the
particular goal or point-of-view of a particular user at a particular time.

Content-based descriptors are necessary to this process. Recently, a major 
European wireless
service provider managed to have all its digital media content providers 
supply metadata in
RDF, and saw their revenues increase by 20% in three months. Major search 
engines are in the
process of rolling out A/V search capabilities. At the same time, such 
descriptions are definitely
not sufficient. Context is also important, and should be managed. The area 
of emergent multimedia
semantics has been initiated to study the measured interactions between 
users and media objects,
with the ultimate goal of trying to satisfy the user community by providing 
them with the media
objects they require, based on their individual previous media interactions.

The arrival of Web 2.0 has added new paradigms to the media mix. Such 
concepts as a folksonomy,
a form of emergent semantics, introduces a collaborative, dynamic approach 
to the generation of
ontologies and media object semantics. That such an approach results in a 
stable semantics,
though surprising, has been recently demonstrated.

We welcome all papers relevant to topics in multimedia semantics, including 
those at the confluence
of multimedia information management, the Semantic Web, and Web 2.0, such 

. Multimedia ontologies
. Media ontology learning
. Multimedia extraction and annotation
. Semantics-based search and integration of multimedia and digital content
. Emergent semantics
. Folksonomies
. Genre detection
. Semantics enabled multimedia applications (including search, browsing, 
. Semantics enabled networks and middleware for multimedia applications
. Semantic metadata for mobile applications
. Approaches using metadata standards such as MPEG-7
. Industrial use-cases and applications
. Event representation and detection
. Conceptual clustering
. Computational semiotics
. Intelligent browsing and visualization
. Semi-automatic and automatic methods for multimedia annotation
. Spectral methods |
. Perception and cognition
. Media Web mining
. User interfaces
. Modeling and recognition of visual objects and actions
. Multisensory data integration and fusion for decision making

June 15, 2007 -- Submissions due
July 15, 2007 -- Acceptance notification
July 30, 2007 -- Camera-ready papers due

William Grosky, University of Michigan-Dearborn, USA (wgrosky@umich.edu)
Farshad Fotouhi, Wayne State University, USA (fotouhi@wayne.edu)
Peter Stanchev, Kettering University, USA (pstanche@kettering.edu)

Frederic Andres, National Institute of Informatics, Tokyo, Japan
Yannis Avrithis, National Technical University of Athens, Greece
Werner Bailer, Institute of Information Systems & Information Management, 
Graz, Austria
Stephan Baumann, German Research Center for Artificial Intelligence, Germany
Tiziana Catarci, University of Rome 'La Sapienza', Italy
Richard Chbeir, Bourgogne University, France
Stavros Christodoulakis, Technical University of Crete, Greece
Darina Dicheva, Winston-Salem State University, USA
Chabane Djeraba, Universite des Sciences et Technologies de Lille, France
Vassil Dimitrov, University of Calgary, Canada
Stefan Dodunekov, Institute of Mathematic and Informatics, BAS, Bulgaria
Forouzan Golshani, Wright State University, USA
Hiranmay Ghosh, IIT/ILab, New Delhi, India
Temenushka Ignatova, University of Rostock, Institut für Informatik, Germany
Hiroshi Ishikawa, Shizuoka University, Japan
Joemon Jose, University of Glasgow, UK
Nik Kasabov, Auckland University of Technology, New Zealand
Yiannis Kompatsiaris, Informatics and Telematics Institute, Greece
Robert Laurini, INSA-Lyon, France
Noureddine Mouaddib, Ecole Polytechnique de L'Université de Nantes, France
Apostol (Paul) Natsev, IBM
Jeff Z. Pan, Aberdeen University, UK
Youngchoon Park, Johnson Control, USA
Pichappan Pit., Annamalai University, India
Fausto Rabitti, Information Science and Technology Institute, CNR, Italy
Ovidio Salvetti, Information Science and Technology Institute, CNR, Italy
Amit Sheth, Wright State University, USA
Peretz Shoval, Ben-Gurion University of Negev, Beer-Sheva, Israel
Chrisa Tsinaraki, Technical University of Crete, Greece
Remco Veltkamp, Utrecht University, The Netherlands
Juan Villanueva, Computer Vision Center, Universitat Autonoma de Barcelona, 
Received on Tuesday, 10 April 2007 08:36:41 UTC

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