-------- Original-Nachricht -------- Betreff: [MM-INTEREST] CFP: MMSJ Special Issue on Interactive Multimedia Computing Datum: Tue, 6 Oct 2009 05:53:46 +0000 Von: Meng Wang mengwang@MICROSOFT.COM Antwort an: Meng Wang mengwang@MICROSOFT.COM An: MM-INTEREST@LISTSERV.ACM.ORG

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*CALL FOR PAPERS*

ACM/Springer Multimedia Systems Journal Special Issue on:

*Interactive Multimedia Computing*

http://research.microsoft.com/users/mengwang/cfp/MMSJ_CFP_InteractiveMultime...

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*Guest Editors*

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* Meng Wang, Microsoft Research Asia, China

* Jinhui Tang, National University of Singapore, Singapore

* Xian-Sheng Hua, Microsoft Research Asia, China

* Tat-Seng Chua, National University of Singapore, Singapore

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*Important Dates*

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* February 1, 2010: Manuscript submission deadline

* May 31, 2010: First-round acceptance notification

* July 15, 2010: Revision submission

* September 31, 2010: Final decision

* Fall 2010: Publication date

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*Information for Authors*

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Submitted papers should follow the guideline on http://www.ifi.uio.no/MMSJ/author.html/. The papers should not be longer than 25-30 pages, single column, double space, 11 or 12 pt font, including figures, tables and references. They must be submitted in the form of PDF file to the submission system https://cmt.research.microsoft.com/IMMC/. Information about the manuscript (title, full list of authors, corresponding author’s contact, abstract, and keywords) should also be sent to the corresponding editor Meng Wang (mengwang@microsoft.com). All the papers will be peer-reviewed following the MMSJ reviewing procedures.

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*Summary*

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Recent years have witnessed the flourish of multimedia data on the Internet. To facilitate humans in accessing and managing the explosively growing multimedia content, extensive research efforts have been dedicated to automatic multimedia analysis and processing in the last decades, such as categorization, annotation and indexing. However, despite great advances in recent years, several key difficulties still exist, the most important of which is the semantic gap in multimedia modeling. It is evident from recent results that most of the semantic gap problems cannot be solved automatically within the near future and without additional information or resources. On the other hand, we have witnessed the power of collective human efforts in the Web 2.0 era in providing high-quality tags and comments to large amounts of images and videos in sites such as Flickr and YouTube. In fact, a lot more can be accomplished through simple online games such as the ESP. Hence, more and more researchers believe that a possible approach to addressing the semantic gap problem is to incorporate the efforts of humans into the computational process, i.e., by combining human intelligence and automated computer processing to jointly tackle the problems in a collaborative manner. The past decade has witnessed the increase of such efforts, such as relevance feedback in content-based image retrieval, active learning in multimedia modeling, the interactive video search evaluation task in TRECVID, new search and browsing interfaces in VideoOlympics to facilitate humans’ interaction, and the recent human computation efforts such as the ESP game on Google image search website.

This special issue aims to bring together the range of research efforts in interactive multimedia computing. The goals of this special issue are threefold: (1) to introduce novel research work and systems in this area; (2) to survey the progress of this direction in the past years; and (3) to discuss new technologies that will be potentially impactful (primary results are needed). The submitted papers will be peer reviewed and selected based on their quality and relevance to the theme of this special issue.

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*Scope*

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The scope of this special issue is to cover all aspects that relate to interactive multimedia computing. Topics of interest include, but are not limited to

* Interactive multimedia processing, including interactive image/video editing, image segmentation, video summarization, etc.

* Interactive multimedia management, including semi-automatic multimedia categorization, clustering, browsing, dataset construction, etc.

* Interactive multimedia search, including relevance feedback, query suggestion, image/video recommendation, novel search and browsing interface, etc.

* Interactive multimedia modeling, including semi-automatic image/video concept learning and the related techniques such as active learning and on-line learning.

* Multimedia tagging, including new tagging interface, tag recommendation, tag classification, tag filtering, etc.

* Interactive multimedia knowledge mining, such as semi-automatic lexicon/ontology construction and user interests/trends/relationships mining.

* Game-based multimedia applications, including game-based multimedia data collection, labeling, advertising, recommendation, etc.

* CAPTCHA-based multimedia applications, including CAPTCHA-based multimedia data collection, labeling, etc.

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*Contacts*

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Please address all correspondences regarding this special issue to the Guest Editors Dr. Meng Wang (mengwang@microsoft.com mailto:mengwang@microsoft.com), Dr. Jinhui Tang (tangjh@comp.nus.edu.sg mailto:tangjh@comp.nus.edu.sg), Dr. Xian-Sheng Hua (xshua@microsoft.com mailto:xshua@microsoft.com) and Dr. Tat-Seng Chua (chuats@comp.nus.edu.sg mailto:chuats@comp.nus.edu.sg).

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Best regards,

Meng, Jinhui, Xian-Sheng and Tat-Seng