Did you know that in a 30 minute news clip there could be as many as 10,000 pieces of data? That’s 5 pieces of data per second.  That’s timestamped data that represents every second of your content – content that if properly tagged can open up your business to entirely new opportunities.

Let me explain.

Typically, when news runs, pertinent information about the program is logged, such as general keywords and a descriptive title, and stored in a database or asset management system.  When a past program needs to be retrieved, the keywords and descriptions that were applied to the video are used to locate the proper video or videos that the user needs access to.  This is for the most part a manual process from the very beginning.

In a 30 minute video (news in this example), every spoken word, every word on the screen, including closed captioning, every brand and object, and every face that appears in a newscast adds up to a very large amount of data or keywords that are candidates for search.  When this is automated, and with V2D it is, there is simply more metadata that can be used to index your assets.

News and headlines are unpredictable, so it’s impossible to predict which keywords would be important in the future (think Monica Lewinsky, WorldCom, and Malcolm Butler from the 2014 Super Bowl).  World events happen everyday that shape broadcasts (sometimes broadcasts that have been planned and scripted for weeks in advance) so the need for tagging for the purpose of the unknown, random retrieval requirement is essential.  It’s more essential today that it ever has been and it will become even a greater need in the near future.

Since we can’t predict the future, we can at least be proactive and predict the keywords (and there is no limit) so that you’re only a click away from retrieving the past.

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