[image 04569] 文書画像関連国際会議DASへのお誘い
Seiichi Uchida
uchida @ ait.kyushu-u.ac.jp
2021年 12月 29日 (水) 15:15:57 JST
九州大学の内田と申します.年の瀬に失礼いたします.
知る人ぞ知るDAS (Document Analysis Sytems)という
IAPR(国際パターン認識連盟)の公式ワークショップ
があります.2022年で第15回目になります.いまのと
ころ現地(フランス La Rochelle.素敵な港町です)で
開催する気満々です.
https://das2022.univ-lr.fr/
その名の通り文書画像関連の国際会議です.
ICDAR, ICFHRと共に,文字・文書画像マニア系三大
会議(!?)の一つです.ワークショップとはいえ,
何かのサテライトイベントというわけではなく,DAS
だけで単独で実施されます.
文書画像や文字画像が大好きな人たちが世界中からやっ
てきます.小グループに分かれてのディスカッション
セッションも名物の一つです.
締め切りが少しだけ延期になって(1/4→1/15),正月早々
徹夜する必要がなくなりました.もし皆様の研究室で関
連する研究成果がありましたら,(これまでマニアでな
かった皆様も)ご投稿をご検討いただければ幸いです.
なお,ショートペーパーという制度もあります(LNCSで
4ページ).プロシーディングには掲載されないので,
オフィシャル業績にはならないかもしれません.また自動
的にポスター発表になります.それでも若手・新人の皆さん
には良い経験になるかもしれません.ご一考いただければ
幸いです.
PS. (僭越ながら)よいお年をお迎えください!
==== CFP ====
DAS 2022 - Last Call For Papers
DAS 2022: 15th IAPR International Workshop on Document Analysis Systems
22-25 May, 2022 - La Rochelle, France + online
https://das2022.univ-lr.fr/
DEADLINE EXTENDED FROM JAN. 4 TO JAN. 15.
IMPORTANT DATES
Jan 15, 2022 Paper submission deadline – extended
from Jan. 4
Feb 21-28, 2022 Authors’ response period (including rebuttal)
Mar 8, 2022 Notification of acceptance
Apr 1, 2022 Camera ready papers due
OVERVIEW
DAS 2022 is the 15th international IAPR-sponsored workshop dedicated
towards system-level approaches and related challenges in document
analysis and recognition. This includes models, methods, and relevant
applications satisfying real-world engineering requirements. The
workshop provides an exciting platform for interactions and high-level
technical exchanges between industrial and academic communities. The
DAS 2022 program will include invited talks, oral and poster paper
presentations, tutorials, demonstrations, and working group
discussions.
DAS 2022 will be held in the historical city of La Rochelle located on
the French Atlantic coast. La Rochelle is famous for its old port,
stunning seaside views, urban beaches, and for the second largest
private aquarium in Europe. Online/virtual participation will also be
available for DAS 2022 authors and participants.
DAS 2022 will accept both full papers (up to 15 pages, presented
orally or by poster) and short papers (up to 4 pages, presented as
posters or demonstrations). All paper submissions will undergo a
rigorous review process that will consider the originality, quality of
work, and presentation of ideas, and relevance to document analysis
system research. Springer will publish accepted full papers as part of
the workshop’s LNCS proceedings, while short papers will be published
separately in a companion booklet.
TOPICS OF INTEREST
* Document analysis systems
* Document understanding
* Layout analysis
* Camera-based document analysis
* Document analysis for digital humanities
* Document analysis for libraries and archives
* Document analysis for the internet
* Document analysis for mobile devices
* Document authentication
* Document datasets
* Document image watermarking
* Document retrieval
* Deep learning for document analysis systems
* Information extraction from document images
* Graphics recognition
* Table and form processing
* Mathematical expression recognition
* Forensic document analysis
* Historical document analysis
* Multilingual document analysis
* Multimedia document analysis
* Pen-based input and its analysis
* NLP for document analysis
* Human document interaction
* Authoring, annotation, and presentation systems
* Performance evaluation
* Applications
SUBMISSION TYPES
DAS 2022 submissions should be in Springer LNCS format, full and short
paper submissions will be accepted, as described below.
Submission link: https://easychair.org/conferences/?conf=das2022
Full papers
Full papers should describe complete works of original research.
Authors are invited to submit original unpublished research papers, up
to 15 pages length, that are not being considered in another forum.
This restriction does not apply to unpublished technical reports or
papers included in self-archive repositories (departmental, arXiv.org,
etc.) that are not peer-reviewed.
Short papers
Short papers provide an opportunity to report on research in progress,
to present demos and novel positions on document analysis systems.
Authors may submit short papers (up to 4 pages in length). Short
papers will also undergo review and will appear in an extra booklet,
not in the official DAS2022 proceedings.
--
Seiichi Uchida
uchida @ ait.kyushu-u.ac.jp
Kyushu University, Japan
image メーリングリストの案内