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CfP AdMIRe 2010 2nd International Workshop on Advances in Music Information Research

From: Kurt J <kurtjx@gmail.com>
Date: Mon, 25 Jan 2010 10:18:41 +0000
Message-ID: <b55af8eb1001250218q4f45dc99u9e5890c2440d53d6@mail.gmail.com>
To: Linking Open Data <public-lod@w3.org>
Hello,

Although it is perhaps a bit off topic, I am submitting this CfP to
this mailing list in hopes of encouraging some submissions applying
Linked Data to music informatics.

Cheers,
Kurt J

---------------
Call for Papers
---------------

++++++++++++++++++++++++++++++++++++++++++++++++++++
++ AdMIRe 2010: 2nd International Workshop on     ++
++ Advances in Music Information Research         ++
++++++++++++++++++++++++++++++++++++++++++++++++++++

http://www.cp.jku.at/conferences/AdMIRe2010/

In Conjunction with the
IEEE International Conference on Multimedia and Expo (ICME)
Singapore, July 19-23, 2010

Provisional Date of the Workshop: July 23, 2010


The "International Workshop on Advances in Music Information Research"
(AdMIRe) serves as a forum for theoretical and practical discussions of
cutting edge research in the fields of Web mining for music information
extraction, retrieval, and recommendation as well as in mobile
applications and services. Research on multimodal extraction, retrieval,
and presentation with a focus on the music and audio domain is
especially welcome. So are submissions addressing concrete
implementations of systems and services by both academic institutions
and industrial companies.

Workshop papers will be official publications of IEEE, which will be
included in IEEE Xplore and also be printed as part of the conference
proceedings. Moreover, extended versions of particularly outstanding
papers will be considered for publication in a Special Issue of a major
journal relevant to the field.


Motivation:
-----------
Music information retrieval (MIR) as a subfield of multimedia
information retrieval has been a fast growing field of research during
the past decade. In traditional MIR research, music-related information
were extracted from the audio signal using signal processing techniques.
These methods, however, cannot capture semantic information that is not
encoded in the audio signal, but nonetheless essential to many
consumers, e.g., the meaning of the lyrics of a song or the political
motivation or background of a singer.

In recent years, the emergence of various Web 2.0 platforms and services
dedicated to the music and audio domain, like last.fm, MusicBrainz, or
Discogs, has provided novel and powerful, albeit noisy, sources for high
level, semantic information on music artists, albums, songs, and others.
The abundance of such information provided by the power of the crowd can
therefore contribute to MIR research and development considerably. On
the other hand, the wealth of newly available, semantically meaningful
information offered on Web 2.0 platforms also poses new challenges,
e.g., dealing with the huge amount and the noisiness of this kind of
data, various user biases, hacking, or the cold start problem.

Another recent trend, not at last addressable to platforms like Apple's
iPhone or Google's Android, are intelligent user interfaces to access
the large amounts of music usually available on today's mobile music
players and the corresponding services. Mobile devices that offer high
speed Web access allow for even more music to be consumed via Web
services. Dealing with these vast amounts of music requires intelligent
services on mobile devices that provide, for example, personalized and
context-aware music recommendations. The current emergence and
confluence of these challenges make this an interesting field for
researchers and industry practitioners alike.


Topics of Interest:
-------------------
+ Music Information Systems
+ Multimodal User Interfaces
+ Context-aware Music Applications
+ User Modeling and Personalization
+ Social Networks and Collaborative Tagging in the Music and Audio
 Domain
+ Web Mining and Information Extraction in the Music Domain
+ Combination of Web-based and Signal-based Information Extraction
 Methods
+ Mining and Analysis of Music Video Clips
+ Mining and Analysis of Music-Related Images / Artwork
+ Music Recommendation
+ Semantic Web, Linking Open Data and Open Web Services for the Music
 and Audio Domain
+ Ontologies, Semantics and Reasoning in the Music and Audio Domain
+ Similarity Measurement
+ Evaluation, Mining of Ground Truth and Data Collections
+ Music Information Retrieval, Services, and Applications for Mobile
 Devices
+ Music Indexing and Retrieval Techniques
+ Exploration and Discovery in Large Music Collections
+ Multimodal Semantic Content Analysis


Program Chairs:
---------------
Markus Schedl      Dept. of Computational Perception, JKU Linz, Austria
Ňscar Celma        Barcelona Music and Audio Technologies, Spain
Peter Knees        Dept. of Computational Perception, JKU Linz, Austria

Program Committee:
------------------
Luke Barrington    University of California, San Diego, CA, USA
Stephan Baumann    German Research Center for AI
Gijs Geleijnse     Philips Research Labs, Eindhoven, the Netherlands
Masataka Goto      AIST, Tsukuba, Japan
Fabien Gouyon      INESC, Porto, Portugal
Kurt Jacobson Department of Electronic Engineering, Queen Mary
University, London, UK
Noam Koenigstein   Faculty of Engineering, Tel Aviv University, Israel
Paul Lamere        the echonest, Somerville, MA, USA
Tim Pohle          Dept. of Computational Perception, JKU Linz, Austria
Yves Raimond       BBC Audio & Music Interactive, London, UK
Andreas Rauber     Vienna University of Technology, Austria
Dominik Schnitzer  OFAI, Vienna, Austria
Douglas Turnbull   Dept. of Computer Science, Swarthmore College, USA
Gerhard Widmer     Dept. of Computational Perception, JKU Linz, Austria
Geraint Wiggins    Dept. of Computing, Goldsmiths' College, London, UK


Important Dates:
----------------
Full Paper Submission       March  5, 2010
Notification of Results     March 30, 2010
Camera Ready Submission     April 15, 2010


++++++++++++++++++++++++++++++++++++++++++++++++++
++ http://www.cp.jku.at/conferences/AdMIRe2010/ ++
++++++++++++++++++++++++++++++++++++++++++++++++++
Received on Monday, 25 January 2010 10:19:14 UTC

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