Analysis and Interpretation of Graphical Documents

Abstract

This chapter is dedicated to the analysis and the interpretation of graphical documents, and as such, builds upon many of the topics covered in other parts of this handbook. It will therefore not focus on any of the technical issues related to graphical documents, such as low level filtering and binarization, primitive extraction and vectorization as developed in Chapters 2.1 and 5.1 or symbol recognition, for instance, as developed in Chapter 5.2. These tools are put in a broader framework and threaded together in complex pipelines to solve interpretation questions. This chapter provides an overview of how analysis strategies have contributed to constructing these pipelines, how specific domain knowledge is integrated in these analyses, and which interpretation contexts have been contributed to successful approaches.

Text-Independent Speech Balloon Segmentation for Comics and Manga

“…There are several adaptive threshold selection method in the literature [10]. However, speech balloon being a highly contrasted region it is not very complex to separate background and content (foreground) in this region.…”

Knowledge-driven understanding of images in comic books

“…One of the original goals of image document analysis was to fully understand the content of any images [29]. The meaning of the term "understand", when it comes to machines, can be taken as their ability to recognize graphical elements and to interpret the semantic of their features.…”