{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deep-cnn-based-speech-balloon-detection-and","title":"Deep CNN-based Speech Balloon Detection and Segmentation for Comic Books","arxiv_id":"1902.08137","date":"2019-02-21","proceeding":null,"authors":["David Dubray","Jochen Laubrock"],"abstract":"We develop a method for the automated detection and segmentation of speech\nballoons in comic books, including their carrier and tails. Our method is based\non a deep convolutional neural network that was trained on annotated pages of\nthe Graphic Narrative Corpus. More precisely, we are using a fully\nconvolutional network approach inspired by the U-Net architecture, combined\nwith a VGG-16 based encoder. The trained model delivers state-of-the-art\nperformance with an F1-score of over 0.94. Qualitative results suggest that\nwiggly tails, curved corners, and even illusory contours do not pose a major\nproblem. Furthermore, the model has learned to distinguish speech balloons from\ncaptions. We compare our model to earlier results and discuss some possible\napplications.","url_abs":"http://arxiv.org/abs/1902.08137v1","url_pdf":"http://arxiv.org/pdf/1902.08137v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deep-cnn-based-speech-balloon-detection-and","repo_url":"https://github.com/DRDRD18/balloons","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"deep-cnn-based-speech-balloon-detection-and","repo_url":"https://github.com/damishshah/comic-book-reader","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[{"method_slug":"concatenated-skip-connection","method_name":"Concatenated Skip Connection"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"max-pooling","method_name":"Max Pooling"},{"method_slug":"relu","method_name":"ReLU"},{"method_slug":"u-net","method_name":"U-Net"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}