TY  - JOUR
AU  - Christophe Rigaud
AU  - Clement Guerin
AU  - Dimosthenis Karatzas
AU  - Jean-Christophe Burie
AU  - Jean-Marc Ogier
PY  - 2015//
TI  - Knowledge-driven understanding of images in comic books
T2  - IJDAR
JO  - International Journal on Document Analysis and Recognition
SP  - 199
EP  - 221
VL  - 18
IS  - 3
PB  - Springer Berlin Heidelberg
KW  - Document Understanding
KW  - comics analysis
KW  - expert system
N2  - Document analysis is an active field of research, which can attain a complete understanding of the semantics of a given document. One example of the document understanding process is enabling a computer to identify the key elements of a comic book story and arrange them according to a predefined domain knowledge. In this study, we propose a knowledge-driven system that can interact with bottom-up and top-down information to progressively understand the content of a document. We model the comic book’s and the image processing domains knowledge for information consistency analysis. In addition, different image processing methods are improved or developed to extract panels, balloons, tails, texts, comic characters and their semantic relations in an unsupervised way.
SN  - 1433-2833
UR  - http://dx.doi.org/10.1007/s10032-015-0243-1
N1  - DAG; 600.056; 600.077
ID  - Christophe Rigaud2015
ER  -