| 词条 | Image2Text |
| 释义 |
Product DifferentiationCortica's engine processes and recognizes images based on patterns, as the brain does, providing accuracy purporting to be comparable with that of the human brain.[1] Previous image search solutions have relied on databases of images compiled through fingerprinting, modeling and crowdsourcing.[3] Cortica differentiates itself from these other products; patterns are clustered into digital concepts which are stored and mapped to keywords and contextual taxonomies that enable it to interpret the content appearing in the digital media.[4] UsesCortica's Image2Text technology associates images with concepts and enables a host of business opportunities.[5] The technology has implications for augmented reality,[6] a visual technology that experts say will improve when it incorporates computer vision and dynamic mapping of the real world environment.[7] In addition, computer vision technologies, like those guided by Image2Text, have been integrated into self-driving cars to help identify road hazards.[8] References1. ^1 {{cite web|last1=Yeung|first1=Ken|title=Israel-based Cortica raises $1.5M from Mail.Ru to fund its Image2Text visual search technology|url=https://thenextweb.com/insider/2013/05/28/israel-based-cortica-raises-1-5m-from-mail-ru-to-fund-its-image2text-visual-search-technology/#gref|website=TheNextWeb|accessdate=20 January 2017}} 2. ^{{cite web|title=Visual Search Leader, Cortica, Secures $6.4 Million in Series B Financing Led by Horizons Ventures; Funding Totals $18M to Date|url=http://www.businesswire.com/news/home/20130619006471/en/Visual-Search-Leader-Cortica-Secures-6.4-Million|website=BusinessWire|accessdate=20 January 2017}} 3. ^{{cite web|last1=Chen|first1=David|title=Memory Efficient Image Databases for Mobile Visual Search|url=https://web.stanford.edu/~bgirod/pdfs/ChenMultimedia2014.pdf|website=Stanford University|publisher=IEEE Journal|accessdate=20 January 2017}} 4. ^{{cite web|last1=Bermant|first1=Yoel|title=Igal Raichelgauz Raises $20 Million In Series C Funding For Cortica, Image Identification Technology|url=http://jewishbusinessnews.com/2014/03/12/igal-raichelgauz-raises-20-million-in-series-c-funding-for-cortica-image-identification-technology/|website=Jewish Business News|accessdate=20 January 2017}} 5. ^{{cite web|title=Visual Search Leader, Cortica, Secures $6.4 Million in Series B Financing Led by Horizons Ventures; Funding Totals $18M to Date|url=http://www.businesswire.com/news/home/20130619006471/en/Visual-Search-Leader-Cortica-Secures-6.4-Million|website=BusinessWire|accessdate=20 January 2017}} 6. ^{{cite web|last1=Raichelgauz|first1=Igal|title=Pokémon Go is nice, but here's what *real* augmented reality will look like|url=https://venturebeat.com/2016/07/24/pokemon-go-is-nice-but-heres-what-real-augmented-reality-will-look-like/|website=VentureBeat}} 7. ^{{cite web|last1=Dhillon|first1=Sunny|title=Stop referring to Pokémon Go as augmented reality|url=https://venturebeat.com/2016/07/14/stop-referring-to-pokemon-go-as-augmented-reality/|website=VentureBeat|accessdate=20 January 2017}} 8. ^{{cite web|last1=Els|first1=Peter|title=How AI is Making Self-Driving Cars Smarter|url=http://www.roboticstrends.com/article/how_ai_is_making_self_driving_cars_smarter|website=RoboticsTrends|accessdate=20 January 2017}} 2 : Image processing software|Proprietary software |
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