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AIEMPro 2010 : 3rd International Workshop on Automated Information Extraction in Media ProductionConference Series : Automated Information Extraction in Media Production | |||||||||||||||
Link: http://www.crit.rai.it/attivita/AIEMPro10/index.html | |||||||||||||||
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Call For Papers | |||||||||||||||
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3rd International Workshop on Automated Information Extraction in Media Production AIEMPro'10 In conjunction with ACM Multimedia 2010, Florence 25-29 October 2010 ******************************************************************************** ***************************** 1st Call for Papers ********************************** --- Apologies for multiple postings --- AIEMPro'10 3rd International Workshop on Automated Information Extraction in Media Production AIEMPro'10 ")http://www.crit.rai.it/attivita/AIEMPro10/index.html) In conjunction with ACM Multimedia 2010 ")http://www.acmmm10.org) , Florence 25-29 October 2010 Organised By: - Vlaamse Radio- en Televisieomroep - Medialab - European Broadcasting Union . Union Europ?enne de Radiot?l?vision - RAI Radiotelevisione Italiana, Centre for Research and Technological Innovation - NHK (Japan Broadcasting Corporation) Science and Technology Research Laboratories The third Workshop on Automated Information Extraction in Media Production (AIEMPro10) aims at fostering exchange of ideas and of practises between leading experts in research and leading actors in the media community, in order to catalyse the migration towards new ways of producing media content, aided by large scale introduction of tools for automated multimedia analysis and understanding. On the other hand, the workshop should help researchers in better understanding what are some real-life key requirements which would enable their scientific developments come into wider adoption. The explosion of new media distribution channels based on the Internet and the new production workflows based on digital computer-based tools is forcing nerw business models for in media industry. Internet-based multimedia fruition model, e.g. as recently promoted by the European Commission Future Internet Initiative, is progressively substituting the traditional one-to-many broadcasting model. To cope with these new trends, broadcasters have been changing their approach, trying to embrace these new models into their facilities, though the overall economic convenience of these initiatives is still to be fully proved. Media production workflows are substantially influenced by new ways of acquiring, elaborating and publishing audiovisual material. In this context, automatic information extraction techniques based on audiovisual content analysis are seen as an interesting and promising option to streamline these processes and lower the total cost of new productions, and as a way to help to disseminate existing archives. This line of development has been fully recognised by the European Broadcasting Union as of crucial importance, by setting up a specific technical group on the subject (EC-M/SCAIE). Though an immense amount of resources are spent by the research community in the broadly recognised area of multimedia semantic extraction, unfortunately little exploitation of these efforts has happened in industrial applications. The workshop aims at attracting the attention of researchers and practitioners in the field of automatic information extraction based on audiovisual content analysis on the problems related with media production processes. In particular, the objective is to analyse the impact and performances of these tools in real-life applications, and on real-life material. Authors are encouraged to submit papers on which they enlighten the features of existing or novel tools in the key aspects of future media production based on automated information extraction, including acquisition, editing, publishing, archiving and repurposing of audiovisual material. Topics of interest include, but are not limited to: - Efficient and real-time audiovisual indexing in acquisition - Automated repurposing of archived material on new media channels - Automated news production - Efficient indexing and retrieval of multimedia streams - Automatic speech recognition and personality identification (e.g. face or speaker identification) - Collaborative systems for media production - Multimodal topic and concept detection - Information Retrieval systems from Multimedia Archives - Mechanisms for the estimation of the trust of news - Opinion mining and Sentiment Analysis over news and media streams - Ontologies and metadata formats - Large scale processing of heterogeneous data - HCI for efficient annotation and retrieval - Automated material copyright infraction detection and material fingerprinting - Content summarisation (e.g., sports highlights) - Audiovisual genre and editorial format detection and characterisation - Cross-media indexing and integration - Content segmentation tools (e.g., shot and semantic scene segmentation) - Applications of MPEG-7 and MPEG-21 standard - Evaluation methods for multimedia analysis tools including data sets and standard resources (e.g. reference dictionaries for ASR) The organising committee will make available a considerable amount of audiovisual material taken from some of the major European broadcasters archives. Perspective authors may test their technologies on this material, in order to further prove the effectiveness of their research in a real scenario. Contact the workshop organisers to get information about how to get the material. Test material for experimentation is available at the Online Media Asset Management System "Mammie" provided by the organizers. Download is conditioned to some terms and conditions for the use of the material. You can find the full text on the register page of the Mammie system. By clicking on the link below, you will be redirected to the "Mammie" system. Use to Register link and fill out the form as accurate as possible to request your access to the system. After manual verification of your request (which can take up to 5 days), you will be notified about your approval to use the system. ")http://media.ibbt.be/mammie) Important dates: Paper Submission due: June 4th 2010 Notification of Acceptance due: July 5th 2010 Camera Ready due: July 26th 2010 Workshop date: To be announced. Submission Guidelines: The recommended length for papers is 6 pages, following the ACM Proceedings format (full information available at the ACM Multimedia Submission Page ")http://www.acmmm10.org/authors/submission/full-and-short-papers/) ). Simultaneous submission to another conference/workshop/journal is not allowed. Papers must be original and have not been published or under consideration for publications elsewhere. Each paper will be reviewed by at least three members of the programme committee recognised for their competence in the field covered by the paper. Final decision about inclusion in the workshop proceedings will be taken by the PC members exclusively on the basis of the obtained reviews and levels of recommendation. Papers must be registered using the ACM Multimedia conference management software ")http://edas.info) Programme committee: Alberto Messina (chair) (RAI R&D, Italy) Werner Bailer (JOANNEUM Research, Austria) Roberto Basili (Univ. of Rome Torvergata, Italy) Andrea Basso (AT&T, USA) Marco Bertini (Univ. of Florence, Italy) Gloria Bordogna (CNR, Italy) Roberto Borgotallo (RAI R&D, Italy) Selcuk Candan (Arizona State University, USA) Franciska De Jong (Univ. Of Twente, Netherlands) Robbie De Sutter (VRT-medialab, Belgium) Hermann Hellwagner (Univ. Of Klagenfurt, Austria) Ole Hybaeck (Danish Radio, Denmark) Hazim Kemal Ekenel (Karlsruhe Institute of Technology, Germany) Wessel Kraaij (TNO, Netherlands) Rosa Meo (Univ. Of Turin, Italy) Maurizio Montagnuolo (RAI R&D, Italy) Patrick Ndjiki-Nya (Heinrich Hertz Institute, Germany) Gabriella Pasi (Univ. of Milano Bicocca, Italy) Masanori Sano (NHK R&D, Japan) Maria Luisa Sapino (Univ. of Turin, Italy) Birgit Schroeter (IRT, Germany) Nicu Sebe (Univ. of Trento, Italy) Birgitte Stannius (Danish Radio, Denmark) More information can be found on the official website: http://www.crit.rai.it/attivita/AIEMPro10/index.html |
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