TY - GEN
T1 - Viral transcript alignment
AU - Sadeh, Gil
AU - Wolf, Lior
AU - Hassner, Tal
AU - Dershowitz, Nachum
AU - Ben-Ezra, Daniel Stokl
N1 - Publisher Copyright: © 2015 IEEE.
PY - 2015/11/20
Y1 - 2015/11/20
N2 - We present an end-to-end system for aligning transcript letters to their coordinates in a manuscript image. An intuitive GUI and an automatic line detection method enable the user to perform an exact alignment of parts of document pages. In order to bridge large regions in between annotation, and augment the manual effort, the system employs an optical-flow engine for directly matching at the pixel level the image of a line of a historical text with a synthetic image created from the transcript's matching line. Meanwhile, by accumulating aligned letters, and performing letter spotting, the system is able to bootstrap a rapid semi-automatic transcription of the remaining text. Thus, the amount of manual work is greatly diminished and the transcript alignment task becomes practical regardless of the corpus size.
AB - We present an end-to-end system for aligning transcript letters to their coordinates in a manuscript image. An intuitive GUI and an automatic line detection method enable the user to perform an exact alignment of parts of document pages. In order to bridge large regions in between annotation, and augment the manual effort, the system employs an optical-flow engine for directly matching at the pixel level the image of a line of a historical text with a synthetic image created from the transcript's matching line. Meanwhile, by accumulating aligned letters, and performing letter spotting, the system is able to bootstrap a rapid semi-automatic transcription of the remaining text. Thus, the amount of manual work is greatly diminished and the transcript alignment task becomes practical regardless of the corpus size.
UR - http://www.scopus.com/inward/record.url?scp=84962585352&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/ICDAR.2015.7333854
DO - https://doi.org/10.1109/ICDAR.2015.7333854
M3 - منشور من مؤتمر
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 711
EP - 715
BT - 13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings
PB - IEEE Computer Society
T2 - 13th International Conference on Document Analysis and Recognition, ICDAR 2015
Y2 - 23 August 2015 through 26 August 2015
ER -