Text-Independent Speech Balloon Segmentation for Comics and Manga

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• 关键词：Graphic recognition ; Speech balloon ; Comics image analysis ; Manga image analysis
• 刊名：Lecture Notes in Computer Science
• 出版年：2017
• 出版时间：2017
• 年：2017
• 卷：9657
• 期：1
• 页码：133-147
• 丛书名：Graphic Recognition. Current Trends and Challenges
• ISBN：978-3-319-52159-6
• 卷排序：9657

文摘

Comics and manga are one of the most popular and familiar forms of graphic content over the world and play a major role in spreading country’s culture. Nowadays, massive digitization and digital-born materials allow page-per-page mobile reading but we believe that other usages may be released in the near future. In this paper, we focus on speech balloon segmentation which is a key issue for text/graphic association in scanned and digital-born comic book images. Speech balloons are at the interface between text and comic characters, they inform the reader about speech tone and the position of the speakers. We present a generic and text-independent speech balloon segmentation method based on color, shape and topological organization of the connected-components. The method has been evaluated at pixel-level on two public datasets (eBDtheque and Manga109) and the F-measure results are 78.24% and 80.04% respectively.