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Vu Digital technologies support apps for three markets: consumers,<ref>{{cite web|work=AppAdvice|url=http://appadvice.com/appnn/2013/09/view-the-best-articles-from-all-over-the-web-with-vu-now-designed-for-ios-7-and-ipad|title=View the best articles from all over the web with Vu, now designed for iOS 7 and iPad|date=29 September 2013}}</ref> content producers and content distributors. Vu Digital technologies rely on advanced analytic and profiling that "learns" and caters to the individual content needs and interests of each user.<ref>{{cite web|work=News Watch|title=Vu Digital Review|date=13 January 2014|url=http://newswatchblog.com/2014/01/13/vu-digital-review/}}</ref>
Vu Digital technologies support apps for three markets: consumers,<ref>{{cite web|work=AppAdvice|url=http://appadvice.com/appnn/2013/09/view-the-best-articles-from-all-over-the-web-with-vu-now-designed-for-ios-7-and-ipad|title=View the best articles from all over the web with Vu, now designed for iOS 7 and iPad|date=29 September 2013}}</ref> content producers and content distributors. Vu Digital technologies rely on analytic and profiling that "]" and caters to the individual content needs and interests of each user.<ref>{{cite web|work=News Watch|title=Vu Digital Review|date=13 January 2014|url=http://newswatchblog.com/2014/01/13/vu-digital-review/}}</ref>
Vu Digital is a cloud-based service provider of technological products that include predictive analytic, natural language processing, profiling, and audio/image detection.
Vu's Video-to-Data (V2D) product converts video to data using face recognition, object recognition, brand recognition, music identification, and automated speech recognition.
Vu Digital technologies support apps for three markets: consumers, content producers and content distributors. Vu Digital technologies rely on analytic and profiling that "learns" and caters to the individual content needs and interests of each user.
Vu Digital's Video-to-Data (V2D) technology V2D software uses predictive analytics, natural language processing, face recognition, object recognition, and audio/image detection to extract metadata from video including transcripts of the audio, and time-tagged references to screen text and appearances of persons or images of interest, such as objects or logos.