Content-based video retrieval in historical collections of the German Broadcasting Archive

The German Broadcasting Archive maintains the cultural heritage of radio and television broadcasts of the former German Democratic Republic (GDR). The uniqueness and importance of the video material fosters a large scientific interest in the video content. In this paper, we present a system for automatic video content analysis and retrieval to facilitate search in historical collections of GDR television recordings. It relies on a distributed, service-oriented architecture and includes video analysis algorithms for shot boundary detection, concept classification, person recognition, text recognition and similarity search. The combination of different search modalities allows users to obtain answers for a wide range of queries, leading to satisfactory results in short time. The performance of the system is evaluated using 2500 h of GDR television recordings.

• Publication year

  2016

• Venue

  International Journal on Digital Libraries

• Publication date

  2016-09-05

• Fields of study

  Computer Science, History

• Identifiers
  DOI 10.1007/s00799-018-0236-zarXiv 1702.03790
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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