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The Internet was designed around text-based documents, and as such, has mature infrastructure to encourage and enable the search and discovery of text across the entire web. Video files, on the other hand, are not natively “searchable”, and usually require complex classification systems primarily powered by massive amounts of manually-tagged metadata. But what if there was a way to extract this kind of meaningful metadata automatically? Azure Media Indexer is a media processor that leverages natural language processing (NLP) technology from Microsoft Research to make media files and content searchable by exposing this meaningful metadata to the end-user automatically in the form of a keyword file (XML), a set of closed caption files (SAMI/TTML), and a powerful binary index file (AIB).
Via Nicolas Weil
