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Noam Koenigstein <[log in to unmask]>
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Noam Koenigstein <[log in to unmask]>
Mon, 17 Jan 2011 17:58:13 +0200
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Call for Papers

++ AdMIRe 2011: 3rd International Workshop on     ++
++ Advances in Music Information Research           ++

In Conjunction with the
IEEE International Conference on Multimedia and Expo (ICME)
Barcelona, Spain, July 11-15, 2011

Date of the Workshop: July 11/15, 2011
Paper Submission: February 20, 2011

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

Music information research has been a fast growing field during the past
decade. In traditional content-based MIR, music-related information
was 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, MusicBrainz, or
echonest, 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
hence contribute to music information 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. 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
+ 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

Publicity Chair:
Noam Koenigstein   School of Electrical Engineering, Tel Aviv University, Israel

Program Committee (Tentative):
Amélie Anglade        Centre for Digital Music, Department of
Electronic Engineering, Queen Mary University, London, UK
Stephan Baumann    German Research Center for AI, Kaiserslautern, Germany
Benjamin Fields        Department of Computing in Goldsmiths' College,
University of London, UK
Gijs Geleijnse           Philips Research Laboratories, Eindhoven, the
Emilia Gómez           Music Technology Group, Universitat Pompeu
Fabra, Barcelona, Spain
Masataka Goto         National Institute of Advanced Industrial
Science and Technology (AIST), Tsukuba, Japan
Fabien Gouyon         Institute for Systems and Computer Engineering
of Porto, Porto, Portugal
Kurt Jacobson          the echonest, Davis Square, Somerville, MA, USA
Noam Koenigstein    School of Electrical Engineering, Tel Aviv
University, Israel
Paul Lamere            the echonest, Davis Square, Somerville, MA, USA
Tim Pohle                Department of Computational Perception,
Johannes Kepler University, Linz, Austria
Yves Raimond          BBC Audio & Music Interactive, London, UK
Andreas Rauber       Department of Software Technology and Interactive
Systems, Vienna University of Technology, Austria
Dominik Schnitzer    Austrian Research Institute for Artificial
Intelligence, Vienna, Austria
Malcolm Slaney       Yahoo! Research Laboratory, Silicon Valley, CA, USA
Mohamed Sordo       Music Technology Group, Universitat Pompeu Fabra,
Barcelona, Spain
Sebastian Stober      Data & Knowledge Engineering Group,
Otto-von-Guericke-Universität Magdeburg, Germany
Jun Wang                Dolby Laboratories, Beijing, P.R. China
Geraint Wiggins       Dept. of Computing, Goldsmiths' College, London, UK

Important Dates:
Full Paper Submission:           February 20, 2010
Notification of Results:            April 10, 2011
Camera Ready Submission:    April 20, 2011

++ ++

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