Welcome to the March’s edition of the IEEE-TCMC (Technical
Committee on Multimedia Computing) monthly mailing.
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This month’s topics include:
IEEE ISM Call for Workshop Proposals
CFPs: IJMIR (Multimedia Inforamtion Retrieval) special issue
IEEE ISM’13 Call for Workshop Proposals
held in conjunction with
IEEE International Symposium on Multimedia (ISM2013),
Anaheim, CA, USA, December 9-11, 2013
The IEEE ISM2013 organizing committee invites proposals for
workshops to be held in conjunction with the symposium.
The workshops aim to explore focused interest areas and
provide international forums for scientists, engineers, and
computer users to exchange and share their experiences,
new ideas, and research results on hot topics of multimedia
Submissions of proposals on workshops and special tracks of
emerging areas are invited. Please submit proposals to
email@example.com and firstname.lastname@example.org respectively.
Papers from Workshops and Focused Tracks will be presented at
ISM2013, and included in the Proceedings.
Submissions of proposals on panels and demonstrations are
also encouraged. Panel proposals should be submitted to
email@example.com. Demo proposals should be submitted to
firstname.lastname@example.org. Panel summary articles may also be
included in the conference proceedings.
4/15/2013 Workshop Proposal Submission
5/1/2013 Workshop Notification
6/10/2013 Panel Proposal Submission
International Journal of Multimedia Information Retrieval
Special Issue on Cross-Media Analysis
Call for Papers
Today there are lots of heterogeneous and homogeneous media
data from multiple sources, such as news media websites,
microblog, mobile phone, social networking websites, and
photo/video sharing websites. Integrated together these
media data represent different aspects of the real-world
and help document the evolution of the world. Consequently,
it is impossible to correctly conceive and to appropriately
understand the world without exploiting the data available
on these different sources of rich multimedia content
simultaneously and synergistically.
Cross-media analysis is a research area in the general
field of multimedia content analysis which focuses on
the exploitation of the data with different modalities
from multiple sources simultaneously and synergistically
to discover knowledge and understand the world.
Specifically, we emphasize two essential elements in the
study of cross-media analysis that help differentiate
cross-media analysis from the rest of the research in
multimedia content analysis or machine learning.
The first is the simultaneous co-existence of data from
two or more different data sources. This element
indicates the concept of “cross”, e.g., cross-modality,
cross- source, and cross cyberspace to reality.
Cross-modality means that heterogeneous features are
obtained from the data in different modalities;
cross-source means that the data may be obtained across
multiple sources (domains or collections); cross-
space means that the virtual world (i.e., cyberspace)
and the real world (i.e., reality) complement each other.
The second is the leverage of different types of data
across multiple sources for strengthening the knowledge
discovery, for example, discovering the (latent)
correlation or synergy between the data with different
modalities across multiple sources, transferring the
knowledge learned from one domain (e.g., a modality or
a space) to generate knowledge in another related domain,
and generating a summary with the data from multiple
There two essential elements help promote cross-media
analysis as a new, emerging, and important research
area in today’s multimedia research. With the emphasis
on knowledge discovery, cross-media analysis is
different from the traditional research areas such
as cross-lingual translation. On the other hand, with
the general scenarios of the leverage of different
types of data across multiple sources for strengthening
the knowledge discovery, cross-media analysis addresses
a broader series of problems than the traditional
research areas such as transfer learning. Overall,
cross-media analysis is beneficial for many applications
in data mining, causal inference, machine learning,
multimedia, and public security.
Examples of the problems related to cross-media analysis
include but are not limited to:
Conceptual representation or a high-level modeling for
Summarization discovered from cross-media data
Transfer learning across different data sources for
Cross-media data search and semantic description
Cross-media data topic modeling
Temporal cross-media data evolutionary analysis and
Cyberspace and reality mapping analysis
Cognitive analysis from cyberspace behaviors
We welcome contributions from all the parties interested in
cross-media analysis. We shall have a peer review process to
ensure the high quality of the papers to appear in the special
issue. At least three reviews shall be solicited before a paper
is warranted to publish in this special issue.
Zhongfei (Mark) Zhang
Computer Science Department, Watson School of Engineering
and Applied Science
Binghamton, NY 13902-6000
College of Computer Science
Hangzhou, 310027 P.R. China
Department of Computer Science
University of California, Irvine
Irvine, CA 92697-3425
Jia-Yu (Tim) Pan
Mountain View, CA 94041
7/15/2013: Deadline of the submissions
10/15/2013: Notifications to authors for the first round of reviews
12/1/2013: Deadline of the revised submissions
12/15/2013: Decisions made for all the accepted papers
2014: Publication of this special issue
HOW TO SUBMIT YOUR PAPERS
Papers are submitted to the Journal’s online submission system at:
which can also be accessed from the Journal’s webpage at:
and click “Submit Online” button at the right panel of the Journal page.
You will then be asked to login to the online submission
system using your registered user name and password. If you
are new to the system, you need to first register to the
system to get your user name and password by clicking the
“REGISTER” button. After you have logged into the system,
under the “New Submissions” panel, click the “Submit New
Manuscript” link. Then you will see a pull-down menu of
article types, and you will see the special track for this
special issue: S.I.:Cross Media Analysis. By choosing this
article type, you will be led to the online submission
process for the special issue.