Work

Speech balloon contour classification in comics

Year: 2013

Type: conference-paper

Abstract: Comic books digitization combined with subsequent comic book understanding create a variety of new applications, including mobile reading and data mining. Document understand- ing in this domain is challenging as comics are semi-structured documents, combining semantically important graphical and textual parts. In this work we detail a novel approach for classifying speech balloon in scanned comics book pages based on their contour time series.

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Rigaud, Christophe, Burie, Jean-Christophe, Ogier, Jean-Marc, Karatzas, Dimosthenis

Institutions: Laboratoire Informatique, Image et Interaction (L3i), Computer Vision Center

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4299569503

FWCI:

Cites:

Cited by:

Related to: 10