Determining video provenance utilizing deep learning
US12081827B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Aug 26, 2022 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | Feb 18, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/8456
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, methods, and non-transitory computer readable media that utilize deep learning to map query videos to known videos so as to identify a provenance of the query video or identify editorial manipulations of the query video relative to a known video. For example, the video comparison system includes a deep video comparator model that generates and compares visual and audio descriptors utilizing codewords and an inverse index. The deep video comparator model is robust and ignores discrepancies due to benign transformations that commonly occur during electronic video distribution.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.