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September 2012 Newsletter

Welcome to the September'12 edition of the IEEE-TCMC (Technical
Committee on Multimedia Computing) monthly mailing. 
To join TCMC, or to update your information, especially your email 
address, visit the following web site and fill in the online form.
Computer Society and IEEE members will use their usual IEEE 
web account login to access membership products and renew. 
Nonmembers can create an IEEE web account to join any TC.
TCMC home:
This month's topics include:
New membership sign-up site for TCMC!
CFPs: IJCV Special Issue, CVPR'13, ICMR'13
We have a NEW membership sign-up site for TCMC!
To join TCMC, or to update your information, especially your 
email address, visit the following web site and fill in the online
Computer Society and IEEE members will use their usual 
IEEE web account login to access membership products and 
renew. Nonmembers can create an IEEE web account to 
join any TC.
International Journal of Computer Vision: Special Issue on Domain 
Adaptation for Vision Applications
Domain adaptation is an emerging research topic in computer vision. In
some vision applications, the domain of interest ( i.e. , the target domain)
contains very few or even no labeled samples, while an existing domain
( i.e. , the auxiliary domain) is often available with a large number of
labeled examples. For example, millions of loosely labeled Flickr photos
or YouTube videos can be readily obtained by using keywords (also called tags)
based search. On the other hand, users may be interested in retrieving and
organizing their own multimedia collections of images and videos at the
semantic level, but may be reluctant to put forth the effort to annotate
their photos and videos by themselves. This problem becomes furthermore
challenging because the feature distributions of training samples from
the web domain and consumer domain may differ tremendously in statistical
properties. To effectively utilize training samples from both domains,
domain adaptation techniques can be employed to learn robust classifiers
that explicitly cope with the considerable variation in feature
This special issue seeks high quality and original research on domain
adaptation for vision applications. The goals of this special issue are
three-fold: 1) investigating fundamental theories for domain adaptation,
2) presenting novel domain adaptation techniques applicable to at least
one existing computer vision application, and 3) exploring new challenging
vision applications for domain adaptation techniques .
Manuscripts are solicited to address a wide range of topics on domain
adaptation techniques and applications with a focus on computer vision
tasks, including but not limited to the following:
Fundamental theory for domain adaptation
Single source domain adaptation
Multiple source domain adaptation
Unsupervised domain adaptation
Heterogeneous domain adaptation
Online domain adaptation
Cross-knowledge transfer
Novel computer vision applications for domain adaptation
Evaluation of domain adaptation algorithms and systems for specific
vision applications
Guidelines for authors can be found at http://www.editorialmanager.com/visi/ .
Prospective authors should submit high quality, original manuscripts that
have not appeared, nor are under consideration, in any other journal or
conference. Papers submitted to this special issue should have a distinctive
title using the format: SI-Domain Adaptation < title> . All papers will be
peer reviewed by experts in the field.
Important Dates
Manuscript submission:
1 st March 2013
Preliminary results:
30 th June 2013
Revisions due:
30 th September 2013
30 th November 2013
Final manuscripts due:
30 th December 2013
Anticipated publication:
1 st or 2 nd quarter 2014
Guest Editors
Dr. Dong Xu
Nanyang Technological University, Singapore
Prof. Rama Chellappa
University of Maryland, College Park, USA
Prof. Trevor Darrell
University of California, Berkeley, USA
Dr. Hal Daumé III
University of Maryland, College Park, USA
CVPR is the premier annual Computer Vision event comprising the main
CVPR conference and several co-located workshops and short courses.
With its high quality and low cost, it provides an exceptional value
for students, academics and industry researchers. 
In 2013, it will take place at the Oregon Convention Center in
Portland, Oregon.
Main Conference: June 25-27, 2013
Workshops/Short Courses: June 23-24, 28, 2013
2013 ACM International Conference on Multimedia Retrieval (ICMR2013)
Dallas, Texas, USA, April 16 - 19, 2013
Download the Call for Papers
ICMR 2013 is seeking original high quality submissions addressing
innovative research in the broad field of multimedia retrieval. We wish
to highlight significant contributions addressing the main problem of
search and retrieval but also the related and equally important issues
of multimedia content management, user interaction, and community-based
management. Topics of interest include, but are not limited to:
Content- and context-based indexing, search and retrieval of images and video
Multimedia content search and browsing on the Web
Advanced descriptors and similarity metrics for audio, image, video and 3D data
Multimedia content analysis and understanding
Semantic retrieval of visual content
Learning and relevance feedback in media retrieval
Query models, paradigms, and languages for multimedia retrieval
Multimodal media search
Human perception based multimedia retrieval
Studies of information-seeking behavior among image/video users
Affective/emotional interaction or interfaces for image/video retrieval
HCI issues in multimedia retrieval
Evaluation of multimedia retrieval systems
High performance multimedia indexing algorithms
Community-based multimedia content management
Applications of Multimedia Retrieval: Medicine, Multimodal Lifelogs, Satellite Imagery, etc.
Image/video summarization and visualization
October 15, 2012: Special Session Proposals
November 1, 2012: Special Session Selection
December 3, 2012: Paper Submission
January 15, 2013: Demo, industrial exhibits, and multimedia retrieval challenges