Yunjia Li, Giuseppe Rizzo and Raphaël Troncy, Creating Enriched YouTube Media Fragments With NERD Using Timed-Text, in Proceedings of the ISWC 2012 Posters & Demonstrations Track, Boston, US, November, 2012. [PDF(local)], [PDF(online)]

Abstract:
This demo enables the automatic creation of semantically annotated YouTube media fragments. A video is first ingested in the Synote system and a new method enables to retrieve its associated subtitles or closed captions. Next, NERD is used to extract named entities from the transcripts which are then temporally aligned with the video. The entities are disambiguated in the LOD clound and a user interface enables to browse through the entities detected in a video or get more information. We evaluated our application with 60 videos from 3 YouTube channels.

BibTex:

    @InProceedings { iswc2012paper-poster-demo-54,
      author = { Yunjia Li, Giuseppe Rizzo and Raphaël Troncy },
      title = { Creating Enriched YouTube Media Fragments With NERD Using Timed-Text },
      booktitle = { Proceedings of the ISWC 2012 Posters & Demonstrations Track },
      address = {Boston, US},
      month = { November },
      year = { 2012 },
    }

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