Multiple channels of rasterized content for page decomposition using machine learning
US11386685B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 17, 2019 |
| Grant date | Jul 12, 2022 |
| Priority date | — |
| Expiry date | Aug 31, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/414
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are provided for identifying structural elements of a document. One Methodology includes generating a first channel of rasterized content by rasterizing a full page of the document and generating one or more additional channels of rasterized content from the page of the document by rasterizing one or more corresponding content types from the page of the document. Each of the one or more additional channels includes a specific type of content that is different from each of the other one or more additional channels. The methodology further includes inputting the first channel of rasterized content and the one or more additional channels of rasterized content into a machine learning (ML) model. The methodology continues with determining location and classification for each of a plurality of structural elements on the page of the document using the ML model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.