| Full text | |
| Author(s): |
Hirata, Nina S. T.
;
Montagner, Igor S.
;
Hirata, Roberto, Jr.
;
ACM
Total Authors: 4
|
| Document type: | Journal article |
| Source: | PROCEEDINGS OF THE 1ST INTERNATIONAL WORKSHOP ON COMICS ANALYSIS, PROCESSING AND UNDERSTANDING (MANPU 2016); v. N/A, p. 6-pg., 2016-01-01. |
| Abstract | |
We employ an image operator learning method to segment text in comic images. Since the method is based on learning from pairs of input and corresponding expected output images, it is flexible with respect to alphabet sets and text orientation. The method is applied on both Japanese and European comics. Results indicate that most text regions can be straightforwardly identified from the output images. (AU) | |
| FAPESP's process: | 11/23310-0 - Automatic design of image operators: extension and contextualization to not necessarily boolean lattices |
| Grantee: | Igor dos Santos Montagner |
| Support Opportunities: | Scholarships in Brazil - Doctorate (Direct) |
| FAPESP's process: | 15/01587-0 - Storage, modeling and analysis of dynamical systems for e-Science applications |
| Grantee: | João Eduardo Ferreira |
| Support Opportunities: | Research Grants - eScience and Data Science Program - Thematic Grants |
| FAPESP's process: | 15/17741-9 - Combination of local and global features in image operator learning |
| Grantee: | Nina Sumiko Tomita Hirata |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 14/21692-0 - Exploring high-level representations in image operator learning |
| Grantee: | Igor dos Santos Montagner |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate (Direct) |