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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 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 app ===
The Vu app finds content tailored to the individual,<ref>{{cite web|work=Mississippi Business Journal|url=http://msbusiness.com/blog/2013/08/02/ridgeland-based-vu-digital-gives-media-content-websites-a-personal-touch/|title=Ridgeland Based Vu Digital Gives Media Content Websites a Personal Touch|date=2 August 2013}}</ref> using algorithms that select content that the user gravitates to with each use of the app. The content may be on any topic; news, sports, hobbies, politics and policy, technology, art, local interest, the national and global scenes or any other field of interest. The Vu Finder recommendation engine lets information providers of various types host the app on their site, providing tailored content feature for website visitors matched with advertising or marketing messages precisely adapted to the content and the user, in real time. Industries that offer Vu capabilities to subscribers via Vu Finder include newspapers,<ref>{{cite web|work=Langerhans Tech News|url=http://langtechnews.hivefire.com/articles/share/348088/|title=Vu Digital Unveils Radical New Approach to Personalized Content for Newspapers, Retailers and Other Verticals|date=19 November 2014}}</ref> fashion designers and retailers. Vu Video-to-Data (V2D) translates video images and audio to text, affording video producers the ability to tag their content better with metadata making it more searchable. Vu Digital has patents pending for Video-to-Data & Vu Finder.{{cn|date=April 2015}}
Vu Digital apps work on any iOS or Android mobile device and are available in the Apple Store.<ref>{{cite web|work=App Shopper|title=Vu iOS Universal|date=6 November 2013|url=http://appshopper.com/news/vu-2}}</ref> and Google Play.<ref>{{cite web|work=Android Egis|title=Personalize your Digital World – Vu News & Magazine App Review|url=http://www.androidegis.com/app-reviews/personalize-your-digital-world-vu-news-magazine-app-review/}}</ref> Vu is free and is used by more than 500,000 consumers.{{cn|date=April 2015}}
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 advanced analytic and profiling that "learns" and caters to the individual content needs and interests of each user.
Vu Digital's latest product is its Video-to-Data (V2D) technology and associated Vu Finder. The V2D service 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. Vu Finder can then be used to search this extracted metadata to find the associated video.
