基于关键框架提取和适应性重量分配的非物质文化遗产视频的保护和分析
1School of Fashion Art, Shaanxi University of International Trade & Commerce, Xi'an, China.
PloS one
|August 29, 2025
概括
这项研究使用先进的视频分析引入了一种新的无形文化遗产数字保存方法. 开发的模型有效地提取关键框架并检测目标,确保文化遗产管理的准确和可靠的内容识别.
科学领域:
- 数字人文科学
- 计算机视觉
- 文化遗产研究
背景情况:
- 无形文化遗产 (ICH) 视频数据的有效数字化保存和管理至关重要.
- 传统的方法难以应对ICH视频内容的复杂性和数量.
研究的目的:
- 开发和评估用于数字保存和分析ICH视频数据的自动化系统.
- 通过先进的视频处理技术来提高ICH的管理和可访问性.
主要方法:
- 使用目标识别算法和关键提取用于视频分析.
- 构建了一个包含射击边界检测,特征金字塔网络和注意力机制的模型.
- 使用准确性,回忆,F1分数,冗余性和检测错误指标评估模型性能.
主要成果:
- 关键提取模型实现了高精度 (0.996),回忆 (0.984) 和F1得分 (0.936).
- 证明了低键框冗余性 (0.02) 和最小的错过/错误检测率 (<0.25).
- 显示强度和概括能力,在噪音下性能降低最小,预测盒准确度显著提高 (+41.57%).
结论:
- 开发的模型通过精确的关键提取和目标检测有效地保护和分析ICH视频.
- 这项技术促进了非物质文化遗产的传承和传播.
- 该系统为数字ICH管理提供了强大而准确的解决方案.
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