CALL FOR PAPERS
Journal of Multimedia (JMM, ISSN 1796-2048)
Special Issue on Multimodal Information Retrieval
Nowadays popularity of multimedia demands efficient and intelligent strategies in order to cope with the
large amount of multimedia data. Recent efforts in the area of Multimedia Retrieval Systems (MMRS) have
led to a growing research community and a number of International, national and industrial projects.
Besides concentrating on single media retrieval systems (e.g., only images are considered), latest
technologies target on multimodal retrieval engines. This development explicitly forms the mainstream
trend as queries such as “Show me the movie and related material for the given score available by melody
and text snippets” (maybe by humming) or “Give me all media (text, image, video, audio) containing
information about the city Paris” come into vogue. In order to support those challenging requests,
research needs to work on a.) new (ontology-based) semantic models for combining individual media
models, b.) new retrieval engines considering crossing the media boundary during search, c.) new
interfaces coping the input and presentation of various media data. For instance, similarity metrics need to
be developed/modified which encompasses the media boundary, with the aim to discover useful
relationships among multimodal multimedia documents and to find a better way through out the vast
amount of media information.
For this purpose, theories and techniques concerning multimodal information retrieval systems focusing
on new approaches for indexing, representing, organizing, clustering, querying and feature extraction of
multimodal data need to be investigated and evaluated. Therefore, the aim of this special issue is to
provide a deeper look on current research in the area of Multimodal Multimedia Retrieval including
both, theory and application oriented papers.
Topics of interest include, but are not limited to:
- Multimodal query languages
- Multimodal content-based browsing, indexing and retrieval of images, video and audio
- Cross-media clustering, indexing and retrieval
- Multimedia analysis for advanced multimodal applications
- Multimodal content summarization, visualization and personalization strategies
- Distributed heterogeneous multimedia systems and shared applications
- Semantics modelling of cross media collections
- Multimodal search engines and interfaces
- Relevance feedback in multimodal retrieval systems.
- Evaluation of multimodal retrieval systems
- Cross media modelling concerning low- and high-level feature annotation and extraction.
Prospective authors should follow the submission instructions (see below) according to the following
timetable:
Submitted papers must be original and not have been previously published or currently submitted for
journal publication elsewhere. Papers, which have appeared previously in proceedings of conferences,
could be submitted to this special issue if they are substantially revised or improved from their earlier
versions. All submitted papers will be refereed on the basis of technical quality, significance, novelty, and
clarity. The full paper should ideally not exceed 14 single-space pages of A4, including illustrations and
tables. Submissions must be directly sent in PDF format via email to the guest editor, Prof. Mario Döller:
mario.doeller@uni-passau.de. Please identify your submission in the email subject line “Submission -
JMM Special Issue on Multimodal Information Retrieval”. Complete guidelines for prospective authors can
be found on-line at http://www.academypublisher.com/forauthors.html.
Mario Döller, Assistant Professor, University of Passau, Germany
Jaime Delgado, Full Professor, Universitat Politecnica de Catalunya (UPC), Spain
Lionel Brunie, Full Professor, INSA de Lyon, France
Wo Chang, Manager of Digital Media Group, NIST, USA
