[Commons-l] "'Metadata Mining for Image Understanding'' (MMIU) second call for papers

[Brianna Laugher]

I don't know if there's anyone within Wikimedia doing any kind of
research like this, but it might be interesting if we had someone
attending this to see if there's anything that we could use to improve
our own image search techniques.

I recall we had a bot at one stage on Commons that would grab the
local captions of images used in various projects and then put those
captions back on the Commons image page. Seems a bit the same :)

cheers,
Brianna
user:pfctdayelise


See message 2 at http://linguistlist.org/issues/18/18-2794.html#2

Date: 21-Jan-2008 - 21-Jan-2008
Location: Funchal, Madeira, Portugal
Web Site: http://www.visapp.org/MMIU.htm

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:
integration of visual and geo-location information for improved virtual
tourism
stock-photo
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


-- 
They've just been waiting in a mountain for the right moment:
http://modernthings.org/