Saliency prediction method and system for 360-degree image
US11823432B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 5, 2023 |
| Grant date | Nov 21, 2023 |
| Priority date | — |
| Expiry date | Feb 5, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/56
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a saliency prediction method and system for a 360-degree image based on a graph convolutional neural network. The method includes: firstly, constructing a spherical graph signal of an image of an equidistant rectangular projection format by using a geodesic icosahedron composition method; then inputting the spherical graph signal into the proposed graph convolutional neural network for feature extraction and generation of a spherical saliency graph signal; and then reconstructing the spherical saliency graph signal into a saliency map of an equidistant rectangular projection format by using a proposed spherical crown based interpolation algorithm. The present disclosure further proposes a KL divergence loss function with sparse consistency. The method can achieve excellent saliency prediction performance subjectively and objectively, and is superior to an existing method in computational complexity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.