[image 03468] CBDAR 2019 CFP
Masakazu Iwamura
masa @ cs.osakafu-u.ac.jp
2019年 3月 26日 (火) 10:31:35 JST
Image-MLの皆様
大阪府立大学の岩村と申します。
カメラベースの文書画像解析・文字認識に関するワークショップ
CBDAR 2019のご案内させていただきます。
CBDAR 2019は、ICDAR 2019のワークショップとして、
9月にオーストラリアのシドニーで開催されます。
論文投稿締切は5月10日です。
まだ日がありますので、投稿をご検討いただければ幸いです。
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* 8th International Workshop on Camera Based Document Analysis and
Recognition *
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Sydney (Australia), on September 22, in conjunction with ICDAR 2019.
https://cbdar2019.univ-lr.fr
The aim of the CBDAR workshop is to provide a natural link between
document image analysis and the wider computer vision community by
attracting cutting edge research on the topic.
Topics of Interest:
- Camera based acquisition of written information
- Restoration of camera captured documents (dewarping, deblurring, etc.)
- Camera-based document analysis and recognition
- Document image quality assessment / estimation
- Image degradation models for camera captured characters/documents
- Text extraction from scene images
- Text in video
- Document image retrieval
- Device constrained techniques and algorithms
- Performance evaluation and metrics
- Mobile OCR
- Smartphone-based document scanning
- Applications
- Feature extraction in camera capture situations
Important dates:
- Submission open
01 March 2019
- Submission Deadline (normal papers)
10 May 2019
- Submission Deadline (ICDAR resubmissions)
20 May 2019
- Notification of acceptance
15 June 2019
- Camera Ready version 30 June 2019
- CBDAR2019 Workshop 22 Sept 2019
*** Submission Information & Publications ***
CBDAR 2019 invites the submission of original, previously unpublished
work and also welcomes ICDAR 2019 re-submissions.
Workshop proceedings with accepted papers will be published by the IEEE.
Find more info please visit the workshop website and follow the twitter
handle @cbdar_workshop:
https://cbdar2019.univ-lr.fr
--
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/
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