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Meanwhile, several approaches have been developed that tackle specific problems of the retrieval process, e.g. feature extraction methods for multimedia data, query languages, problem specific similarity measures and interactive user interfaces. However, in most cases the user still needs several steps in order to find the searched objects. The main reasons for this are on the one hand, the users’ difficulty in specifying their interests in the form of a well defined query (which is partially caused by inappropriate user interfaces), on the other hand, the problem of extracting relevant features from the multimedia objects. Furthermore, user specific interests and the search context are usually neglected when objects are retrieved.
To improve today’s retrieval tools and thus the overall satisfaction of a user, it is necessary to develop methods that are able to support the user in the search process, e.g. by providing additional user adapted information about the search results as well as the data collection itself and especially by adapting the retrieval tool to the user’s needs and interests.
The goals of this special issue are to provide an overview of current activities in this area and to point out connections between the diverse involved research communities and research in AI. Therefore, the topics of interest include, but are not limited to:
Topics of interest are:
Authors interested in submitting a paper or contributing to the special issue in any other way should contact:
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Andreas Nürnberger Otto-von-Guericke Universität Magdeburg FIN IWS – IR Group Universitätsplatz 2 39106 Magdeburg |
Phone: +49.391.67.18187 Fax: +49.391.67.12018 Email: nuernb@iws.cs.uni-magdeburg.de WWW: http://adiret.cs.uni-magdeburg.de |
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December 1, 2003 |
Statement of interest (ideally with an abstract) |
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February 22, 2004 |
Full papers for review |
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March 24, 2004 |
Notification of acceptance/rejectance |
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April 25, 2004 |
Conference reports, reviews, announcements for service section |
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Mai 16, 2004 |
Deadline for final versions in MS-Word |
We solicit technical papers on substantial, original, and previously unpublished research. Submissions must not exceed 7 two-column pages in camera-ready KI Journal format (including illustrations). This corresponds to ca. 15 manuscript pages with 400 words (max. 6000 words or 40000 characters resp.). We also welcome survey and tutorial papers. All submitted contributions will be reviewed by at least two reviewers. Accepted contributions which cannot be considered in the Special Issue due to space limitations will be considered for publication in one of the next journal issues. Please note that technical papers may be in German or English.
The focus of this section is on applications. We especially welcome reports on applications in the area of Adaptive Multimedia Retrieval. The contributions should be about 3-4 pages in length in camera-ready KI Journal format (ca. 20.000 characters). Project summaries should be submitted as contributions to the service sections.
If you have recently attended a conference or a workshop related to "Adaptive Multimedia Retrieval" , we would appreciate if you could send us a short report. To avoid multiple submissions, please contact us in advance.
If you're interested in reviewing a book related to "Adaptive Multimedia Retrieval", please contact us.
The service section should provide an overview of current activities in related areas of research. It will include directories of software and services, projects, WWW links, bibliographic references and conference announcements. Please follow the following formatting guidelines: