Video compression through motion warping using learning-based motion segmentation
US10805629B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 17, 2018 |
| Grant date | Oct 13, 2020 |
| Priority date | — |
| Expiry date | Nov 10, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Regions for texture-based coding are identified using a spatial segmentation and a motion flow segmentation. For frames of a group of frames in a video sequence, a frame is segmented using a first classifier into at least one of a texture region or a non-texture region of an image in the frame. Then, the texture regions of the group of frames are segmented using a second classifier into a texture coding region or a non-texture coding region. The second classifier uses motion across the group of frames as input. Each of the classifiers is generated using a machine-learning process. Blocks of the non-texture region and the non-texture coding region of the current frame are coded using a block-based coding technique, while blocks of the texture coding region are coded using a coding technique that is other than the block-based coding technique.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.