[image 00686] CfP: ACCV 2014 Workshop: First International Workshop on Robust Reading (IWRR2014)

[Masakazu Iwamura]

Image-ML、Document-MLのみなさま

大阪府立大学の岩村と申します。

11月にシンガポールで行われます ACCV2014 の直前に、
情景中の文字などの認識に関するワークショップ
	First International Workshop on Robust Reading (IWRR2014)
を開催いたします。

文字認識研究は一時期下火になっていましたが（と言うと怒られるかもしれませ
んが&^^;）、情景中の文字（scene text）という新たな研究対象を得て、CVPRや
ICCVでも発表を見かけるなど、息を吹き返しつつあります。

論文締切は9月10日とまだ3ヶ月ほどありますので、是非論文投稿をご検討ください。
（ACCV本体に投稿して、駄目ならIWRRという手もあります）


現在、以下の方々の招待講演を企画しています。
・Prof. Jiri Matas とその学生である Lukas Neumann（ICDAR2013で学生賞受賞）
・コンペティションで最高性能を達成した Google OCRのチーム （調整中）

もし興味がおありでしたら、聴講だけでもご検討いただければ幸いです。



========== Call for Papers: IWRR 2014 ==========

	First International Workshop on Robust Reading
	(in conjunction with ACCV 2014)
	-----------------------------------------------
	November 1 or 2, 2014
	National University of Singapore, Singapore
	Web: http://imlab.jp/iwrr2014/


Interpreting written communication (textual or symbolic) is one of the
most important human activities. It is, however, one of the most
difficult ones for computers to realize and has been recognized as an
unsolved challenge. In the community of Document Analysis and
Recognition (DAR), research on unconstrained reading systems has been of
central interest. The series of ICDAR Robust Reading Competition (RRC),
which is held in conjunction with biannual International Conference of
Document Analysis and Recognition (ICDAR), has played an important role,
especially, by providing standardized datasets that have become the
de-facto evaluation benchmarks in the area and providing an opportunity
to compare methods.

Recently, this kind of research, especially research on reading scene
text, has attracted the interest and is increasingly accepted by the
wider computer vision (CV) community. Papers on related topics have been
consistently presented in major CV conferences such as CVPR, ICCV, ECCV
and ACCV. In these papers, ICDAR RRC datasets are used as standard
measures of methods.

Responding to this trend, we organize the First International Workshop
on Robust Reading (IWRR 2014) in conjunction with ACCV 2014. The
workshop aims at turning the spotlight on the challenge of unconstrained
reading systems. The goal of the workshop is to attract the wider CV
community to put research efforts on this challenging research topic, as
well as to motivate many researchers from the DAR community to attend
ACCV 2014.

Topics of Interest
---------------------------
Topics of interest include, but are not limited to:
 - Scene text localisation, segmentation, and recognition
 - Reading scene and/or overlaid text in video sequences
 - Text localisation, segmentation, and recognition in born-digital images
 - Restoration of camera captured documents (dewarping, deblurring, etc.)
 - Quality estimation and degradation modelling of camera-captured text
 - Performance evaluation and metrics
 - Applications such as translation, reading text for the blind, etc
 - Graphical content interpretation in complex settings

Submission (Updated!)
---------------------------
The workshop organizers welcome original technical papers related to the
workshop topics. All submissions must follow the guideline of ACCV 2014.
Namely, submissions must be a maximum of 14 pages (not including
references). Supplementary material can be submitted. Submissions,
including supplementary material, must be self-contained. Submitted
papers will be reviewed by the workshop program committee in a double
blind manner (so all submissions must be anonymised). Papers violating
the formatting rules will be rejected without review.
There is another way of submission; submit your paper to ACCV2014 and
designate IWRR as the "optional workshop." Please see the workshop
webpage for more detail.

Publication (Updated!)
---------------------------
Accepted papers will be included in the workshop proceedings, which will
be published by Springer in the Lecture Notes in Computer Science (LNCS)
series and also contained in the USB stick distributed in the conference
site. Accepted papers must be registered and presented; otherwise they
will not be included in the workshop proceedings.

The workshop organizers welcome technical papers with novel,
thought-provoking work and ideas relating to the workshop topics. All
submissions must be formatted in ACCV 2014 format and contain original
work that is not being published or under review elsewhere. Each
submission will undergo a double-blind reviewing process. All accepted
papers will be published online on the workshop website. More
information can be found on the workshop website.

Important Dates (Updated!)
---------------------------
Paper submission due:	September 10, 2014
Author Notification:	September 24, 2014
Camera-ready paper due:	September 30, 2014

Co-Chairs
---------------------------
 Masakazu Iwamura (Osaka Prefecture Univ., Japan)
 Dimosthenis Karatzas (Computer Vision Centre, Spain)
 Faisal Shafait (Univ. of Western Australia, Australia)
 Pramod Sankar Kompalli (Xerox Research India, India)

Program Committee (Updated!)
---------------------------
 Alessandro Bissacco (Google, USA)
 Sergi Belongie (Cornell Univ., USA)
 Bernard Ghanem (King Abdullah Univ. of Science and Technology, Saudi
Arabia)
 Erik Learned-Miller (Univ. of Massachusetts Amherst, USA)
 Raghavan Manmatha (Amazon.com, USA)
 Jiri Matas (Czech Technical University, Czech Republic)
 Gaofeng Meng (Chinese Academy of Sciences, China)
 Ajmal Saeed Mian (Univ. of Western Australia, Australia)
 Ray Smith (Google, USA)
 Palaiahnakote Shivakumara (National University of Malaya, Malaysia)
 Jun Sun (Fujitsu R&D China, China)
 Phan Quy Trung (National Univ. of Singapore, Singapore)
 Seiichi Uchida (Kyushu Univ., Japan)
 Kai Wang (Google, USA)
 Jerod J. Weinman (Grinnell College, USA)

Inquiries: iwrr2014-inquiry ＠ ml.osakafu-u.ac.jp


-- 

  Masakazu Iwamura, Ph.D.
	Associate Professor
	Dept. of Computer Science and Intelligent Systems
	Graduate School of Engineering
	Osaka Prefecture University
	1-1 Gakuencho, Naka, Sakai, Osaka 599-8531, Japan
	Tel  : +81-72-254-9277     Fax  : +81-72-254-8291
	Web: http://imlab.jp/~masa/