++++++++++++++++++++++++++++++++++++++++++++++++++++ ++ AdMIRe 2011: 3rd International Workshop on ++ ++ Advances in Music Information Research ++ ++++++++++++++++++++++++++++++++++++++++++++++++++++ http://www.cp.jku.at/conferences/AdMIRe2011/ 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 proceedings. Motivation: ----------- 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 last.fm, 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 Netherlands 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 ++++++++++++++++++++++++++++++++++++++++++++++++++ ++ http://www.cp.jku.at/conferences/AdMIRe2011/ ++ ++++++++++++++++++++++++++++++++++++++++++++++++++