Generating a compact video feature representation in a digital medium environment
US10430661B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 20, 2016 |
| Grant date | Oct 1, 2019 |
| Priority date | — |
| Expiry date | Jul 13, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques and systems are described to generate a compact video feature representation for sequences of frames in a video. In one example, values of features are extracted from each frame of a plurality of frames of a video using machine learning, e.g., through use of a convolutional neural network. A video feature representation is generated of temporal order dynamics of the video, e.g., through use of a recurrent neural network. For example, a maximum value is maintained of each feature of the plurality of features that has been reached for the plurality of frames in the video. A timestamp is also maintained as indicative of when the maximum value is reached for each feature of the plurality of features. The video feature representation is then output as a basis to determine similarity of the video with at least one other video based on the video feature representation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.