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I-MEDIA-CITIES: Automatic Metadata Enrichment of Historic Media Content

机译：I-Media-Cities：历史媒体内容的自动元数据丰富

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Cultural, heritage and museum institutions across Europe are increasingly holding large digital collections, either digitized or born digital, that can have a significant impact on many research fields, both in Social Sciences and Humanities. This being a somehow recent development, a strong, efficient link between these institutions and the research field still largely needs to be established, as well as a true bi-directional dialogue that aligns the efforts and the focus of these institutions to the needs of research. Equally important is the fact that neither cultural, heritage institutions nor the research field are taking full advantage of information technologies in order to improve the opportunities and the quality for research and for providing access to these collections. These two factors result in a general lack of significant research and experience in intelligent, technology-intensive, and user-engaging solutions designed to foster research on cultural digital collections across Europe.In this paper we adapt and apply a variety of recently developed techniques in the field of computer vision and machine learning in order to enrich historic media content with automatically generated metadata for faster and more efficient search in digital collections and archives. We particularly focus on moving images, especially high quality media content related to the history, sociology and culture of European Cities from the 19th to the 21st century.
机译：欧洲各地的文化，遗产和博物馆机构越来越多地举办大型数字收集，无论是数字化还是天生的数字，都会对社会科学和人文学科的许多研究领域产生重大影响。这是一个最近的发展，这些机构与研究领域之间的强大有效的联系仍然需要建立，以及真正的双向对话，使这些机构的努力和重点对准研究的需要。同样重要的是，任何文化，遗产机构和研究领域都没有充分利用信息技术，以提高研究的机会和质量，并提供对这些系列的访问。这两个因素导致智能，技术密集型和用户互动解决方案的一般缺乏显着的研究和经验，旨在促进欧洲各地的文化数字收藏研究。本文我们适应并应用各种最近开发的技术计算机视觉和机器学习领域，以丰富历史媒体内容，以自动生成元数据，以便在数字集合和档案中更快更有效地搜索。我们特别关注运动图像，特别是高质量的媒体内容，与欧洲城市的历史，社会学和文化从19世纪到21世纪。

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