Image2Text
Image2Text technology was created by Cortica, an Israel-based startup whose technology simulates the performance of the human cortex so that computers recognize images with a high degree of accuracy.[1] Image2Text is the result of 10 years in research and development and is protected by more than 50 patents.[2]
Product Differentiation
Cortica'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]
Uses
Cortica'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]
References
- ↑ 1.0 1.1 Yeung, Ken (28 May 2013). "Israel-based Cortica raises $1.5M from Mail.Ru to fund its Image2Text visual search technology". https://thenextweb.com/insider/2013/05/28/israel-based-cortica-raises-1-5m-from-mail-ru-to-fund-its-image2text-visual-search-technology/#gref. Retrieved 20 January 2017.
- ↑ "Visual Search Leader, Cortica, Secures $6.4 Million in Series B Financing Led by Horizons Ventures; Funding Totals $18M to Date". 19 June 2013. http://www.businesswire.com/news/home/20130619006471/en/Visual-Search-Leader-Cortica-Secures-6.4-Million. Retrieved 20 January 2017.
- ↑ Chen, David. "Memory Efficient Image Databases for Mobile Visual Search". IEEE Journal. https://web.stanford.edu/~bgirod/pdfs/ChenMultimedia2014.pdf. Retrieved 20 January 2017.
- ↑ Bermant, Yoel. "Igal Raichelgauz Raises $20 Million In Series C Funding For Cortica, Image Identification Technology". http://jewishbusinessnews.com/2014/03/12/igal-raichelgauz-raises-20-million-in-series-c-funding-for-cortica-image-identification-technology/. Retrieved 20 January 2017.
- ↑ "Visual Search Leader, Cortica, Secures $6.4 Million in Series B Financing Led by Horizons Ventures; Funding Totals $18M to Date". 19 June 2013. http://www.businesswire.com/news/home/20130619006471/en/Visual-Search-Leader-Cortica-Secures-6.4-Million. Retrieved 20 January 2017.
- ↑ Raichelgauz, Igal (24 July 2016). "Pokémon Go is nice, but here's what *real* augmented reality will look like". https://venturebeat.com/2016/07/24/pokemon-go-is-nice-but-heres-what-real-augmented-reality-will-look-like/.
- ↑ Dhillon, Sunny (15 July 2016). "Stop referring to Pokémon Go as augmented reality". https://venturebeat.com/2016/07/14/stop-referring-to-pokemon-go-as-augmented-reality/. Retrieved 20 January 2017.
- ↑ Els, Peter (14 June 2016). "How AI is Making Self-Driving Cars Smarter". http://www.roboticstrends.com/article/how_ai_is_making_self_driving_cars_smarter. Retrieved 20 January 2017.
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