数字人文研究 ›› 2023, Vol. 3 ›› Issue (4): 63-77.

• 攻玉以石 • 上一篇    下一篇

通过人工智能研究早期电影:对电影馆藏图像检索的思考

  

  1. 比阿特丽斯·塔德奥·富伊卡(Beatriz Tadeo Fuica),新索邦大学IRCAV助理研究员,玛丽·居里项目“电影遗产与档案实践”主持人;奥利弗·布韦松(Olivier Buisson),法国视听研究所(INA)高级研究员;劳德·穆苏(Claude Mussou),法国视听研究院(INA)技术部主任;刘思成(译者),香港浸会大学电影学院博士

  • 出版日期:2023-12-28 发布日期:2024-12-10

Watching Historical Films Through AI: Reflection on Image Retrieval from Heritage Collections

  • Online:2023-12-28 Published:2024-12-10

摘要:

计算机工具为我们提供了观看电影的新方法,并为电影学者们创造了提出多样研究问题和展望新研究方法的机遇。文章着重关注电影史学者的研究如何能从尚未被广泛使用的人工智能的帮扶中获益,分享了利用人工智能“Snoop”在老电影语料库中进行的第一轮试验。Snoop由法国国家视听研究所(INA)和国家信息与自动化研究所(INRIA)共同开发。通过探索性的方式,Snoop使研究者能够检索老电影语料库中的共同主题。除了介绍实验中遇到的挑战和新发现外,文章亦旨在对实验进行整体评估并讨论新的研究方向。从研究史的角度而言,文章的另一目的在于评估人工智能系统是否能成为实施不同研究方法的有效工具——既能解决新的研究问题,又能重新审视旧有疑窦;且如果是,又将如何实现。

关键词:

电影史 , 视听档案库 , 数字电影 , 人工智能 , 目标检索

Abstract:

Computer tools allow us to watch films differently and offer film scholars the opportunity to ask diverse research questions and imagine innovative methods. This article focuses, more precisely, on how film historians could benefit from Artificial Intelligence (AI), a tool which has not been used much in the field. The objective is to share first round of experiments using Snoop, an AI developed by a collaboration between the French National Audiovisual Institute (INA) and the National Institute for Research in Digital Science and Technology (INRIA), on a corpus of historical films that, because they have been aired on television, are available for research from the INA collections. Following an exploratory approach, Snoop allowed us to retrieve shared motifs in a corpus of historical films. In addition to discussing challenges and findings, this article aims to evaluate the overall experience and open new line of inquiry. From a historiographical point of view, we aim to assess whether, and if so, how, AI systems are useful tools for the implementation of different method that both answer new research questions and revisit old ones.

Key words: film history , audiovisual archives , digital cinema , Artificial Intelligence , object retrieval

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