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| Vu Digital's latest product is its Video-to-Data (V2D) technology. The V2D service uses predictive analytics, ], ], object recognition, and audio/image detection to extract ] 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 Digital's latest product is its Video-to-Data (V2D) technology. The V2D service uses predictive analytics, ], ], object recognition, and audio/image detection to extract ] 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 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 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}} | ||
| == References == | == References == | ||
Revision as of 15:39, 30 April 2015
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| Industry | Video Analytics |
|---|---|
| Founded | 2013 |
| Headquarters | Ridgeland, Mississippi |
| Key people |
|
| Products | Video-to-Data (V2D) |
| Services | Video Analytics and Metadata extraction |
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.
An affiliate of C Spire, Vu Digital was founded in February 2012 and is based in Ridgeland, Mississippi.
Technologies and patents
Vu Digital technologies support apps for three markets: consumers, content producers and content distributors. Vu Digital technologies rely on analytics and profiling that "learns" and caters to the individual content needs and interests of each user.
Vu app
The Vu app finds content tailored to the individual, 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, fashion designers and retailers.
Video-to-Data
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Vu Digital's latest product is its Video-to-Data (V2D) technology. 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 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.
References
- "A Service That Learns What You Want". eCommerce Times. 18 April 2013.
- "View the best articles from all over the web with Vu, now designed for iOS 7 and iPad". AppAdvice. 29 September 2013.
- "Vu Digital Review". News Watch. 13 January 2014.
- "Ridgeland Based Vu Digital Gives Media Content Websites a Personal Touch". Mississippi Business Journal. 2 August 2013.
- "Vu Digital Unveils Radical New Approach to Personalized Content for Newspapers, Retailers and Other Verticals". Langerhans Tech News. 19 November 2014.