Deep learning based image partitioning for video compression
US12284344B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 12, 2018 |
| Grant date | Apr 22, 2025 |
| Priority date | — |
| Expiry date | Dec 12, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/96
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A block of video data is split using one or more of several possible partition operations by using the partitioning choices obtained through use of a deep learning-based image partitioning. In at least one embodiment, the block is split in one or more splitting operations using a convolutional neural network. In another embodiment, inputs to the convolutional neural network come from pixels along the block's causal borders. In another embodiment, boundary information, such as the location of partitions in spatially neighboring blocks, is used by the convolutional neural network. Methods, apparatus, and signal embodiments are provided for encoding.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.