Systems and methods for semantically classifying and normalizing shots in video
US9852344B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 1, 2016 |
| Grant date | Dec 26, 2017 |
| Priority date | — |
| Expiry date | Aug 1, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20021
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems and methods for classifying videos based on video content. For a given video file including a plurality of frames, a subset of frames is extracted for processing. Frames that are too dark, blurry, or otherwise poor classification candidates are discarded from the subset. Generally, material classification scores that describe type of material content likely included in each frame are calculated for the remaining frames in the subset. The material classification scores are used to generate material arrangement vectors that represent the spatial arrangement of material content in each frame. The material arrangement vectors are subsequently classified to generate a scene classification score vector for each frame. The scene classification results are averaged (or otherwise processed) across all frames in the subset to associate the video file with one or more predefined scene categories related to overall types of scene content of the video file.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.