Content tagging
US10956793B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2018 |
| Grant date | Mar 23, 2021 |
| Priority date | — |
| Expiry date | Nov 15, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, devices, media, and computer readable instructions are described for local image tagging in a resource constrained environment. One embodiment involves processing image data using a deep convolutional neural network (DCNN) comprising at least a first subgraph and a second subgraph, the first subgraph comprising at least a first layer and a second layer, processing, the image data using at least the first layer of the first subgraph to generate first intermediate output data; processing, by the mobile device, the first intermediate output data using at least the second layer of the first subgraph to generate first subgraph output data, and in response to a determination that each layer reliant on the first intermediate data have completed processing, deleting the first intermediate data from the mobile device. Additional embodiments involve convolving entire pixel resolutions of the image data against kernels in different layers if the DCNN.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.