Per-clip video object segmentation using machine learning
US12423979B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 29, 2022 |
| Grant date | Sep 23, 2025 |
| Priority date | — |
| Expiry date | Nov 3, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/10021
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Embodiments are disclosed for performing per-clip object segmentation of objects in a video sequence using machine learning. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a query video sequence and memory data, the memory data including a memory video frame from the query video sequence and an annotated memory video frame including an object mask for an object in the memory video frame, segmenting the query video sequence into a plurality of query video clips and passing a first set of query video frames of a first query video clip and the memory data through a trained encoder-decoder network, predicting a modified set of query video frames, including predictions of object masks for the object, and updating the memory data to include one or more frames of the first set of query video frames and the modified set of query video frames.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.