Logo recognition in images and videos
US10007863B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 3, 2016 |
| Grant date | Jun 26, 2018 |
| Priority date | — |
| Expiry date | Jun 4, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Accurately detection of logos in media content on media presentation devices is addressed. Logos and products are detected in media content produced in retail deployments using a camera. Logo recognition uses saliency analysis, segmentation techniques, and stroke analysis to segment likely logo regions. Logo recognition may suitably employ feature extraction, signature representation, and logo matching. These three approaches make use of neural network based classification and optical character recognition (OCR). One method for OCR recognizes individual characters then performs string matching. Another OCR method uses segment level character recognition with N-gram matching. Synthetic image generation for training of a neural net classifier and utilizing transfer learning features of neural networks are employed to support fast addition of new logos for recognition.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.