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. 1 2 Yeung, Ken (28 May 2013). "Israel-based Cortica raises $1.5M from Mail.Ru to fund its Image2Text visual search technology". TheNextWeb. Retrieved 20 January 2017.
  2. ↑ "Visual Search Leader, Cortica, Secures $6.4 Million in Series B Financing Led by Horizons Ventures; Funding Totals $18M to Date". BusinessWire. 19 June 2013. Retrieved 20 January 2017.
  3. ↑ Chen, David. "Memory Efficient Image Databases for Mobile Visual Search" (PDF). Stanford University. IEEE Journal. Retrieved 20 January 2017.
  4. ↑ Bermant, Yoel. "Igal Raichelgauz Raises $20 Million In Series C Funding For Cortica, Image Identification Technology". Jewish Business News. Retrieved 20 January 2017.
  5. ↑ "Visual Search Leader, Cortica, Secures $6.4 Million in Series B Financing Led by Horizons Ventures; Funding Totals $18M to Date". BusinessWire. 19 June 2013. Retrieved 20 January 2017.
  6. ↑ Raichelgauz, Igal (24 July 2016). "Pokémon Go is nice, but here's what *real* augmented reality will look like". VentureBeat.
  7. ↑ Dhillon, Sunny (15 July 2016). "Stop referring to Pokémon Go as augmented reality". VentureBeat. Retrieved 20 January 2017.
  8. ↑ Els, Peter (14 June 2016). "How AI is Making Self-Driving Cars Smarter". RoboticsTrends. Retrieved 20 January 2017.
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