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playence media: Enterprise Multimedia Management

playence media is a one-of-its-kind product enabling, offering for the first time ever, fully-fledged semantic annotation, retrieval, in-video search and browsing of multimedia assets regardless the rich media format. It builds on the semantic technology provided by playence prose, complementing video-specific features.

 

Screenshots

Features

The following functions of playence media provide the key concepts in practical use:

  • Automatic multi-language knowledge extraction:
    • Location of relevant key-words and domain knowledge through batch ASR.
    • Efficient video annotation for later use.
    • Languages supported include English, German and Spanish.
  • In-video Search:
    • Land a search at the exact second where the relevant content is being played.
    • Land a search at the exact second where the relevant actor is talking.
  • Multilingualism:
    • Support for a wide variety of languages.
    • Complex cross-language query and multimedia asset retrieval.
  • Dynamic rating:
    • On-the-go signaling on the most interesting portions of a rich media asset.
    • Better location of relevant content and improve search results.
  • Granular annotation:
    • Asset annotation.
    • Sequential annotation.
  • Manual annotation refinement:
    • Refinement of automatic annotations.
    • Addition of annotations.
  • Multiformat support:
    • AVI, MPEG, FLV
  • Dynamic media interlinking:
    • Dynamically association creation among videos based on Linked Data cloud.
    • Relationships among asset in heterogeneous information sources, internal or external.
  • Browsing and asset navigation:
    • Powerful browsing engine to keep sight of huge amounts of media content.
    • Eases finding, discovering and accessing the required media resources.
  • Relationship viewer:
    • Snapshot view of a portion of the subjacent data model.
    • Document set filtering by way of query expansion and reduction.
  • Probabilistic media tag clouds:
    • Snapshot of the most relevant tags to the current set of assets.
    • Document set filtering by way of query expansion and reduction.
  • Visualization:
    • Advanced rich media asset visualization tools.

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