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arXiv · 2508.16190

ComicScene154: A Scene Dataset for Comic Analysis

Sandro Paval·Ivan P. Yamshchikov·Pascal Meißner
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Abstract

Comics offer a compelling yet under-explored domain for computational narrative analysis, combining text and imagery in ways distinct from purely textual or audiovisual media. We introduce ComicScene154, a manually annotated dataset of scene-level narrative arcs derived from public-domain comic books spanning diverse genres. By conceptualizing comics as an abstraction for narrative-driven, multimodal data, we highlight their potential to inform broader research on multi-modal storytelling. To demonstrate the utility of ComicScene154, we present a baseline scene segmentation pipeline, providing an initial benchmark that future studies can build upon. Our results indicate that ComicScene154 constitutes a valuable resource for advancing computational methods in multimodal narrative understanding and expanding the scope of comic analysis within the Natural Language Processing community.

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Sandro Paval, Ivan P. Yamshchikov, Pascal Meißner. 2025-08-22. ComicScene154: A Scene Dataset for Comic Analysis. https://arxiv.org/abs/2508.16190

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