Automatic learning of a video matching system
US9971940B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 8, 2016 |
| Grant date | May 15, 2018 |
| Priority date | — |
| Expiry date | Aug 19, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F21/16
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided content is determined to contain an asset represented by reference content by comparing digital fingerprints of the provided content and the reference content. The fingerprints of the reference content and the provided content are generated using a convolutional neural network (CNN). The CNN is trained using a plurality of frame triplets including an anchor frame representing the reference content, a positive frame which is a transformation of the anchor frame, and a negative frame representing content that is not the reference content. The provided content is determined to contain the asset represented by the reference content based on a similarity measure between the generated fingerprints. If the provided content is determined to contain the asset represented by the reference content, a policy associated with the asset is enforced on the provided content.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.