构建动漫角色出场频率分析数据集，揭示叙事中角色重要性变化。
OregairuChar: A Benchmark Dataset for Character Appearance Frequency Analysis in My Teen Romantic Comedy SNAFU
- 从第三季精选1600帧，标注11位主角2860个边界框。
- 通过检测模型实现逐集角色出现频次分析，发现角色重要性动态演变。
- 适用于研究动画叙事结构与角色中心化表达的计算方法。
角色出场频率分析对理解动漫的叙事结构、角色突出度和故事进展至关重要。本文提出OregairuChar，一个面向《我推的孩子》（My Teen Romantic Comedy SNAFU）第三季的角色出场频率分析基准数据集。该数据集包含1600帧手动选取画面，涵盖11位主要角色的2860个边界框标注，捕捉遮挡、姿态变化及角色间相似性等视觉挑战，为基于外观的研究提供真实依据。我们在此数据集上评估多种目标检测模型，并利用其预测结果进行细粒度的逐集角色出现分析，揭示角色突出度在叙事中的演化规律。通过强调出场频率，OregairuChar成为探索风格化媒体中计算叙事动态与角色导向叙事的重要资源。
原文摘要 · Abstract (English)
The analysis of character appearance frequency is essential for understanding narrative structure, character prominence, and story progression in anime. In this work, we introduce OregairuChar, a benchmark dataset designed for appearance frequency analysis in the anime series My Teen Romantic Comedy SNAFU. The dataset comprises 1600 manually selected frames from the third season, annotated with 2860 bounding boxes across 11 main characters. OregairuChar captures diverse visual challenges, including occlusion, pose variation, and inter-character similarity, providing a realistic basis for appearance-based studies. To enable quantitative research, we benchmark several object detection models on the dataset and leverage their predictions for fine-grained, episode-level analysis of character presence over time. This approach reveals patterns of character prominence and their evolution within the narrative. By emphasizing appearance frequency, OregairuChar serves as a valuable resource for exploring computational narrative dynamics and character-centric storytelling in stylized media.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。