Hybrid Music Information Retrieval – Special Issue of the “International Journal of Multimedia Information Retrieval”

A Special Issue of the International Journal of Multimedia Information Retrieval
Web page: http://www.cp.jku.at/journals/ijmir_2012_cfp.html

Motivation:
In the past decade, research in music information retrieval (MIR) has
created a wealth of methods to extract latent musical information from
the audio signal. While these methods are capable to infer acoustic
similarities between music pieces, to reveal a song’s structure, or to
identify a piece from a noisy recording, they cannot capture semantic
information that is not encoded in the audio signal, but is nonetheless
essential to many listeners. For instance, the meaning of a song’s
lyrics, the background of a singer, or the work’s historical context
cannot be derived without additional meta-data.

Such semantic information on music items, however, can be derived from
the web and social media, especially from services dedicated to the
music domain, for instance, last.fm, MusicBrainz, Pandora, gracenote, or
echonest. On the other hand, using the newly available sources of
semantically meaningful information also poses new challenges, among
others, dealing with the massive amounts of data and the noisiness of
this kind of data, for example, introduced by various user biases, or
injection of spurious information.

Given the strengths and shortcomings inherent to both content- and
context-based approaches, hybrid methods that intelligently combine the
two are essential. Therefore, this Special Issue calls for
sophisticated, multimodal algorithms to music information retrieval.
Such novel algorithms enable applications that capture musical aspects
on a more comprehensive level than content-based approaches alone.
Exploiting the full range of MIR technology, for instance, innovative
user interfaces to access the large amounts of music available today
(e.g., on smart mobile devices) or personalized and context-aware music
recommendation systems are conceivable.

Call for Papers:
We encourage original submissions of excellent quality that are not
submitted to or accepted by any other journal or conference.
Substantially extended versions of conference or workshop papers (at
least 30% novel content) are welcome as well. Papers should not exceed
14 pages in the Springer double-column format.

All submissions to this Special Issue will be peer-reviewed by at least
three members of the Guest Advisory Board. The review process will be
single-blind. After a first review cycle, we will select according to
the reviewing results a small number of submissions which might be
considered for acceptance. In a second review cycle the authors of the
selected submissions will have the chance to modify their submissions
according to the reviewers suggestions, before a final decision for
acceptance or rejection will be made.

Topics of interest include the following:
– Combination of Music Content and Context
– Hybrid Music Recommendation Systems
– Content-based Music Information Retrieval
– Large-Scale Search in Huge Music Collections
– Multimodal Music Retrieval
– Browsing and Exploration Interfaces to Music
– Music Information Systems
– User Modeling and Personalization
– Context-aware and Mobile Music Information Retrieval
– Web Mining and Information Extraction
– Collaborative Tags, Social Media Mining, (Social) Network Analysis
– Evaluation, Mining of Ground Truth and Data Collections
– Semantic Web, Ontologies, Semantics and Reasoning

Important Dates:
Paper Submission Deadline: June 1, 2012
Notification After First Review Cycle: August 1, 2012
Paper Revisions Deadline: September 15, 2012
Final Notification: October 15, 2012
Submission of Camera Ready Paper: November 15, 2012

Guest Editorial Board:
Peter Knees Johannes Kepler University, Linz, Austria
Markus Schedl Johannes Kepler University, Linz, Austria
Òscar Celma Gracenote, Emeryville, CA, USA

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