V&L Net Workshop on Vision and Language
=======================================

ANNOUNCEMENT AND FIRST CALL FOR CONTRIBUTIONS

Endorsed by BMVA (the British Machine Vision Association)

Date: Thursday, 15 September 2011
Venue: Huxley Building, University of Brighton


The EPSRC Network on Vision and Language (V&L Net)
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The EPSRC Network on Vision and Language (V&L Net) is a forum for 
researchers from the fields of Computer Vision and Language Processing 
to meet, exchange ideas, expertise and technology, and form new 
partnerships. Our aim is to create a lasting interdisciplinary research 
community situated at the language-vision interface, jointly working 
towards solutions for some of today's toughest computational challenges, 
including image and video search, description of visual content and 
text-to-image generation.


Workshop Aims
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The Vision and Language Workshop is chiefly intended to be a networking 
and community building event for the computer vision and language 
processing communities.  It will give us an opportunity to meet and get 
to know each other.  This process will be supported by an informal 
approach characterised by diverse networking activities and a large 
number of brief oral presentations combined with poster presentations.

The Vision and Language Workshop is free for full V&L Net members.  V&L 
Net will furthermore cover the cost of one night's accommodation in 
Brighton and economy-class travel within the UK for full V&L Net members 
presenting an accepted poster.  Full details can be found on the 
workshop page on the V&L Net website (for contact details see below).


Call for Contributions
----------------------

The Vision & Language Workshop organisers invite the submission of 
abstracts addressing any aspect of research that involves both vision 
and language.

We encourage a wide range of different types of abstracts/posters, 
including but not limited to the following:

* Presentations of existing projects and research programmes
* Outlines of project ideas, in particular from those seeking collaborators
* Reports of research in progress
* Reports of research results
* System demos

Specific research topics include, but are by no means limited to:

* Image and video labelling and annotation
* Image and video description
* Computational modelling of human vision and language
* Image and video retrieval
* Multimodal human-computer communication
* Text-to-image generation
* Language-driven animation
* Facial animation for speech
* Assistive methodologies

Accepted abstracts will be presented at the workshop in the form of 
brief 'teaser' presentations, followed by a poster presentation during 
the workshop poster session.


Submission Guidelines
---------------------

Submitted abstracts should be 1-2 pages in length. PDF format is 
strongly preferred. Please send abstracts no later than 7 August 2011 to 
[log in to unmask]


Mini-posters for WLTM Notice Board
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Delegates are furthermore encouraged to bring along to the workshop 
A3-sized mini-posters for our would-like-to-meet notice board.  The idea 
is for mini-posters to describe collaborations sought, profile research 
groups, advertise publications, and similar items.


Outline Programme
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Morning:

Introduction and Welcome
Computer Vision Invited Talk (speaker t.b.c.)
Language Processing Invited Talk (speaker t.b.c.)
Speed Networking Session
Feedback to V&L Net

Lunch Break

Afternoon:

Teaser Presentations for Posters
Poster Session
Would-like-to-meet Notice Board
Evening Drinks


Important Dates
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Submission of Abstracts            07 Aug 2011
Notification of Acceptance        15 Aug 2011
Workshop on Vision and Language    15 Sep 2011


Organisers
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Anja Belz, University of Brighton
Darren Cosker, University of Bath
Frank Keller, University of Edinburgh
Dimitrios Makris, Kingston University


Contact
-------

[log in to unmask]
http://www.vlnet.org.uk/VL-Workshop-2011.html


Dr Dimitrios Makris
Reader
Faculty of Computing, Information Systems and Mathematics
Kingston University, London

Tel: +44 20 8417 7082
Email: [log in to unmask] <mailto:[log in to unmask]>
Web: staffnet.kingston.ac.uk/~ku32195/ 
<http://staffnet.kingston.ac.uk/%7Eku32195/>

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