Here is one of the largest dilemas under the current Big Data sun: will be ever be able to automatically index user generated video content (UGC)? Seems like a an impossibility, but would have great benefits if possible.
Why would we want to create automatic indices and meta data for the uploaded content? Well for one, it would make the mass of user created content that is uploaded to sites like YouTube searchable. Making this mass of video content searchable means we can find the content we are interested in, saving hours of sifting through content that is only saved by the good graces of someone who titled the video correctly or added descriptive meta data to their uploads.
Video is a content rich source of data, since we humans perceive much more data from video than could ever be tagged. But an auto-tagging system could learn over time to get better using facial and behavioral recognition patterns to improve accuracy. This would be an immediate and significant improvement over the voluntary methods we currently use.
The basis for starting automated indexing would be to bring the digital video stream to a standard format where it could be combined with other data sources and included in a standard SQL search. That is now possible, as you can see by my previous posts.
Video is a content rich source of data, since we humans perceive much more data from video than could ever be tagged. But an auto-tagging system could learn over time to get better using facial and behavioral recognition patterns to improve accuracy. This would be an immediate and significant improvement over the voluntary methods we currently use.
The basis for starting automated indexing would be to bring the digital video stream to a standard format where it could be combined with other data sources and included in a standard SQL search. That is now possible, as you can see by my previous posts.
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