|Important Notice: ICDAR 2015 has been relocated to Nancy, Lorraine, France. CBDAR is relocating with ICDAR. Due to added restrictions imposed by this move, the date of CBDAR is also changed to Sunday August 23. Please take note for your travel arrangements.|
The 6th International Workshop on Camera Based Document Analysis and Recognition (CBDAR 2015) will be held in Nancy, Lorraine, France, on August 23rd 2015 in conjunction with ICDAR 2015. The venue for the workshop will be the Brasserie Excelsior, a symbolic place in the city and the flagship of the School of Nancy, with more than one century of history in Nancy, France. For the 2015 edition, CBDAR will share a single track 1-day programme with MOCR 2015 and AFHA 2015, under a single registration fee.
The pervasiveness and widespread availability of camera phones, hand-held digital still/video cameras and more recently wearable cameras have led the community to recognize camera captured images as a promising and growing field of research for document analysis and recognition. Document digitization techniques are gradually getting closer to camera based solutions, offering certain advantages (e.g. for scanning large scale or fragile documents), and presenting interesting new challenges and open problems which cannot be directly resolved by traditional techniques.
Building on the success of the previous five CBDAR workshops in 2005 (Seoul, Korea), 2007 (Curitiba, Brazil), 2009 (Barcelona, Spain), 2011 (Beijing, China), and Washington DC (USA), CBDAR 2015 will be held in Nancy, France, in conjunction with ICDAR 2015. The aim of the 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.
- camera based acquisition of written information
- restoration of camera captured documents (dewarping, deblurring, etc.)
- mage degradation models for camera captured characters/documents
- document image quality analysis
- character segmentation / recognition from scene images
- layout analysis for camera captured documents
- text in video
- document image retrieval
- devices and algorithms for camera-based document analysis and recognition
- device constrained techniques and algorithms
- performance evaluation and metrics
- applications such as translation, reading text for the blind, etc
- human-document interaction