[Corpora-List] 1st GFP: Metadata Mining for Image Understanding

Katerina Pastra kpastra at ilsp.gr
Sat Aug 4 19:40:05 UTC 2007


this workshop announcement may be of interest to those of you working
on text-based annotation of  visual data

Best,

Katerina Pastra

----Apologies for multiple postings--------------------

*First Call for Papers*

International Workshop on

*“Metadata Mining for Image Understanding” (MMIU)*
http://www.visapp.org/MMIU.htm

A  Satellite event of the
3rd International Conference on Computer Vision Theory and Applications 
(VISAPP),
22 - 25 January, 2008, Funchal, Madeira, Portugal
http://www.visapp.org/index.htm


*Chairs*

/Gabriela Csurka/, XEROX Research Centre Europe, France
/Katerina Pastra/, Institute for Language and Speech Processing, Greece

*Scope *

The number of digital images being generated, stored, managed and shared 
through the internet is growing at a phenomenal rate.  Press and photo 
agencies receive and manage thousands or millions of images per day and 
end-users (e.g. amateur reporters) can easily participate into the 
related professional workflows. In an environment of approximately one 
billion photos, searchable in online databases worldwide, finding  the 
most relevant or the most appealing image for a given task (e.g. to 
illustrate a story) has become an extremely difficult process.  In these 
huge repositories, many images have additional information coming from 
different sources.

Information related to the image capture such as date, location, camera 
settings or name of photographer is often available from the digital 
camera used to take the photograph.  The owner can further add a 
relevant title, filename or/and descriptive caption or any other textual 
reference. If the image is uploaded to a shared photo collection, 
additional comments are frequently added to the image by other users.  
On the other hand, images used in documents, i.e. web pages, frequently 
have captions and surrounding text.   All this information can be 
considered image metadata and is of value for organizing, sharing, and 
processing images.

However, it is not always evident how to exploit the information 
contained in such metadata in an intelligent, generic or task-specific 
way.  Linking this information with the actual image content is still an 
open challenge. The aim of this workshop is to offer a meeting 
opportunity for researchers, content providers and related user-service 
providers to elaborate on the needs and practices of digital image 
management, to share ideas that will point to new directions on using 
metadata for image understanding and to demonstrate related technology 
representative of the state of the art and beyond. 

Research paper topics that may be addressed include, but are not limited to:

–    image metadata pattern discovery and mining  
–    interaction of image metadata and visual content
–    image and video metadata enrichment
–    automatic metadata creation
–    hybrid collaborative and machine learning techniques for metadata 
creation and/or fusion
–    cross image-text categorization and retrieval
–    image auto-captioning  and annotation transfer
–    learning user preferences, aesthetical and emotional  measures from 
opinion mining
–    integration of camera settings with image categorization, retrieval 
or enhancement
–    application-specific issues of metadata mining:
o    integration of visual  and geo-location information for improved 
virtual tourism
o    stock-photo
o    web-based image retrieval

*Important Dates*

Full Paper Submission: *October 15, 2007*
Authors Notification: November 7, 2007
Final Paper Submission and Registration: November 19, 2007

*Submission of Papers*

Prospective authors are invited to submit papers in any of the areas 
listed above. All papers must be written in English, and the length 
should not exceed 10 pages for oral presentations and 6 pages for 
posters (including figures and tables).
Instructions for preparing the manuscript (in Word and Latex formats) 
are available at the following web page: 
http://www.grapp.org/paper_templates.htm
Papers (preferably in PDF format) should be submitted electronically via 
the web-based submission system at:
http://www.grapp.org/paper_submission.htm

*Workshop Proceedings*

All accepted and registered papers will be published in a workshop 
proceedings book with an ISBN reference, which will be issued by INSTICC 
Press. The proceedings will be available at the time of the workshop. 
There will be also a CD-ROM publication.

*Publication*
A selection of the best papers will be considered for improvement and 
publication in a special issue of a journal (TBD).
*
Registration Information*
At least one author of an accepted paper must register for the workshop.

*Workshop Programme Committee *(more to be included)

/Suzanne Boll/,             University of Oldenburg, Germany
/Paul Clough/,             University of Sheffield, UK
/Gabriela Csurka,/       XRCE, France
/Daniel Gatica-Perez/, Idiap, Martigny, Switzerland
/Benoit Huet/,               Institut Eurécom, Sophia-Antipolis, France
/Gareth Jones/,             Dublin City University, Ireland
/Jiebo Luo/,                   Kodak Research Lab, Rochester, NY, USA
/Katerina Pastra/,        ILSP, Greece
/Georges Quenot/,        LIG, Grenoble, France
/Rahul Nair/,                 Yahoo! Research Berkeley, USA
/Stefan Rueger/,             KMI, Open University, UK
/Horacio Saggion/,         University of Sheffield, UK
/Tamás Szirányi/,            SZTAKI, Hungary
/Tinne Tuytelaars/,         University of Leuven, Belgium
/Geoffrey Woolfe/,         XRCW, NY, USA
/Lei Zhang/,                    Microsoft Research, China
/Roelof van Zwol/,         Yahoo! Research Barcelona, Spain


******************************************************
Dr. Katerina Pastra
Research Fellow
Language Technology Group
Institute for Language and Speech Processing (ILSP)
Artemidos 6 & Epidavrou
P.C. 151-25, Athens, Greece
tel: + 30 210 6875430 --- fax: +30 210 6852620
http://www.ilsp.gr/homepages/pastra_eng.html
****************************************************** 



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