Histogram of Exclamation Marks and Its Application for Comics Analysis
This paper proposes a histogram formed by counting the number of exclamation marks in comic books for comics analysis. Exclamation marks in comic books are used for expressing character's emotion and are depicted in frequently excited scenes. Also they are easy to detect from different comic books written by various authors. Hence we represent each comic book by its distribution of exclamation marks as a histogram and use such histogram for topic change detection and visualization of relationships between comic books. Experimental results on real comic books show that our bold approach has potential for approximating of contents of comic books by using the proposed histograms.
eBDtheque: A Representative Database of Comics
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 hundred pages of various comic book albums, Franco-Belgian, American comics and mangas. Additionally, we present the piece of software used to establish the ground truth and a tool to validate results against this ground truth. Everything is publicly available for scientific use on http://ebdtheque.univ-lr.fr.
Automatic Mobile Content Conversion Using Semantic Image Analysis
An approach to knowledge-assisted semantic offline content re-authoring based on an automatic content conversion (ACC) ontology infrastructure is presented. Semantic concepts in the context are defined in ontology, text detection (e.g. connected component based), feature (e.g. texture homogeneity), feature parameter (e.g. texture model distribution), clustered feature (e.g. k-manes algorithm). We will show how the adaptation of the layout can facilitate browsing with mobile devices, especially small-screen mobile phones. In a second stage we address the topic of content personalization by providing a personalization scheme that is based on the ontology technology. Our experiment shows that the proposed ACC is more efficient than the existing methods in providing mobile comic contents.