Automated transition classification for binge watching of content
US11019394B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 8, 2020 |
| Grant date | May 25, 2021 |
| Priority date | — |
| Expiry date | May 8, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/24
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Novel techniques are described for automated transition classification for binge watching of content. For example, a number of frame images is extracted from a candidate segment time window of content. The frame images can automatically be classified by a trained machine learning model into segment and non-segment classifications, and the classification results can be represented by a two-dimensional (2D) image. The 2D image can be run through a multi-level convolutional conversion to output a set of output images, and a serialized representation of the output images can be run through a trained computational neural network to generate a transition array, from which a candidate transition time can be derived (indicating a precise time at which the content transitions to the classified segment).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.