In document image analysis, segmentation is the task that identifies the regions of a
document. The increasing number of applications of document analysis requires a good …

Manga, or comics, which are a type of multimodal artwork, have been left behind in the
recent trend of deep learning applications because of the lack of a proper dataset. Hence …

Comics are complex documents whose reception engages cognitive processes such as
scene perception, language processing, and narrative understanding. Possibly because of …

The digital comic book market is growing every year now, mixing digitized and digital-born
comics. Digitized comics suffer from a limited automatic content understanding which …

With the growth of digitized comics, image understanding techniques are becoming
important. In this paper, we focus on object detection, which is a fundamental task of image …

We present eBDtheque, a database of various comic book images and their ground truth for
panels, balloons and text lines plus semantic annotations. The database consists of a …

Graphic novels such as comic books and mangas are well known all over the world. The
digital transition started to change the way people are reading comics: more and more on …

Comic characters detection has been an interesting area in comic analysis as it not only
allows more efficient indexation and retrieval for comic books but also yields an adequate …

Comic book image analysis methods often propose multiple algorithms or models for
multiple tasks like panel and character (body and face) detection, balloon segmentation, text …

Automatically extracting frames/panels from digital comic pages is crucial for techniques that
facilitate comic reading on mobile devices with limited display areas. However, automatic …