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Markus Schedl <[log in to unmask]>
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Markus Schedl <[log in to unmask]>
Sun, 1 Jan 2012 09:35:09 +0100
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Dear colleagues,

I am happy to announce the following Call-for-Papers for a Special Issue 
on "Hybrid Music Information Retrieval", to be published in the 
"International Journal of Multimedia Information Retrieval".

Happy New Year!
Markus Schedl

* Hybrid Music Information Retrieval *

A Special Issue of the
International Journal of Multimedia Information Retrieval

Web page:

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,, 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
Ňscar Celma     Gracenote, Emeryville, CA, USA

Dr. Markus Schedl
Assistant Professor
Department of Computational Perception
Johannes Kepler University Linz
Altenberger Strasse 69
A-4040 Linz, Austria

Tel:  +43 732 2468 1512
Fax:  +43 732 2468 1520
Mail: [log in to unmask]

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