Abstract
I could probably offer a half-way answer to what is the next challenge for CE Imaging?. Reality is that I dont know for sure (there are many), but I know how to solve it: neural networks. The real question becomes how to enable low cost NN implementations and deployments in CE devices without the fear of losing years of work invested in training and optimizing the networks designed to solve specific problems (sound enhancement, better imaging, understanding of the surroundings, easier cooking, better coffee, etc..). This talk will detail the challenges and industry proven solutions for computer vision and computational imaging using a hybrid traditional imaging and deep learning approach. IP protection against intellectual theft once the solutions are deployed is also briefly discussed.
| Original language | English (Ireland) |
|---|---|
| Title of host publication | Deep Learning Networks in CE |
| Publication status | Published - 1 Jan 2018 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Bigioi, P,Mohanty, SP,Corcoran, P,Li, H,Sengupta, A,Lee, JH