Please find below the CFP for the ACMMM2009 workshop on Multimedia for
Cooking and Eating Activities (CEA2009).
!!! The deadline has been extended due to requests. !!!
IEEE First Workshop on Emergent Issues in Large Amounts of Visual Data
in conjunction with ICCV2009
October 4, 2009 in Kyoto, Japan
!!!!!!!! Submission deadline extended !!!!!!!!
!!!!!!!! to June 23, 2009 !!!!!!!!
Today, immensely large amounts of visual data are captured and recorded
every moment. Also, we can download almost an infinite number of images
and videos from the Internet, where the stored visual data are
<< Can the Large Amount of Visual Aata Produce Something New? >>
According to the idea of "quantity breeds quality", researchers are
trying to find out new phenomena and their applications on the large
amounts of visual data. "Generic object recognition", "Hallucination",
"Irregularity detection", and "Cascaded ADA Boosting" are the
successful examples. We already have these applications; however,
they can be extended further.
<< Arm Ourselves for Fighting with the Monster! >>
Through these researches, we noticed that most algorithms performing
search, clustering, regression, and classification proposed so far
lose effect on a large amount of visual data. This implies that more
scalable algorithms and architectures have to be developed. For
example, compact and powerful feature descriptors, memory efficient
algorithms, distributed parallel architectures, and so on.
<< We Need Metallurgy for Making Strong Armor. >>
For utilizing the visual data, label data are necessary in many cases.
However, labeling is always expensive and available labels are often
noisy. How can we make robust algorithms against such noisy labels?
Also, an imbalanced training set may introduce bias into classifiers.
How can we remove it?
WE WANT TO HAVE A WORKSHOP FOR SOLVING THESE PROBLEMS!
Paper submissions should be related but not limited to any of
the following topics:
<< Scalable architectures for large amounts of visual data >>
Cooperative Distributed Parallel systems, Multi-Agent
systems, Parallel implementations of algorithms, and so on.
<< Scalable algorithms on large amounts of visual data >>
Compact and powerful feature descriptors, Memory efficient
scalable algorithms, External algorithms on HDD, Chunking,
Serialization, and so on.
<< Applications exploiting large amounts of visual data >>
Any applications using large amounts of visual data, such as
Computational Photography using large amounts of images
(Super-resolution, Automatic Colorization, etc),
Irregularity Detection, Generic or specific object
recognition, and so on.
<< Data collection and labeling >>
Semi-supervised learning, Effortless labeling framework, Web
crawler, and so on.
The authors are requested to prepare their papers following the
ICCV2009 main conference instructions. See the following URL
All submitted papers are reviewed by at least two reviewers in
a double-blind manner. It is our policy that duplicate
submissions to this workshop are allowed only if the papers are
primarily submitted to the main conference. Papers accepted to
the main conference are alternatively not accepted to the
Paper submission deadline June 23rd, 2009
Paper acceptance notification July 25th, 2009
Camera ready submission deadline Aug. 10th, 2009
Workshop Oct. 4th, 2009
General chair Toshikazu Wada
Wakayama Univ., JP
Program chairs Koichi Kise
Osaka Prefecture Univ., JP
National Institute of Informatics, JP
Publication chair Takahiro Okabe
The Univ. of Tokyo, JP
Web chairs Tatsuya Harada
The Univ. of Tokyo, JP
The Univ. of Electro-Communications, JP
Publicity chair Ichiro Ide
Nagoya University / NII, JP
Kobus Barnard Univ. of Arizona, US
Edward Chang Google, US
Minoru Etoh NTT DoCoMo, JP
Tatsuya Harada The Univ. of Tokyo, JP
Ichiro Ide Nagoya University / NII, JP
Frederic Jurie Univ. of Caen, FR
Koichi Kise Osaka Prefecture Univ., JP
Li Fei-Fei Princeton Univ., US
Tao Mei Microsoft Research Asia, CN
Chong-Wah Ngo City Univ. of Hong Kong, HK
Takahiro Okabe The Univ. of Tokyo, JP
Shin'ichi Satoh National Institute of Informatics, JP
Cordelia Schmid INRIA, FR
Josef Sivic INRIA, FR
Cees Snoek Univ. of Amsterdam, NL
Toshikazu Wada Wakayama Univ., JP
Haiyuan Wu Wakayama Univ., JP
Keiji Yanai The Univ. of Electro-Communications, JP
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* Ichiro IDE [log in to unmask] / [log in to unmask] *
* Nagoya University, Graduate School of Information Science *
* Phone/Facsimile: +81-52-789-3313 *
* Address: #IB-461, 1 Furo-cho, Chikusa-ku, Nagoya 466-8601, Japan *
* WWW: http://www.murase.m.is.nagoya-u.ac.jp/~ide/index.html *