Patent · US Active

Machine learning for identification of candidate video insertion object types

US10671853B2 · kind B2 · utility

3Cited by

1References

20Claims

0Family size

Assignee

MIRRIAD ADVERTISING PLC · GB

Inventors

Tim Harris · Westminster, US
Philip McLauchlan · Leatherhead, GB
David Ok · London, GB

Key dates

Filing date	Aug 29, 2018
Grant date	Jun 2, 2020
Priority date	—
Expiry date	Aug 29, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06V2201/10
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

The method disclosure provides methods, systems and computer programs for identification of candidate video insertion object types using machine learning. Machine learning is used for at least part of the processing of the image contents of a plurality of frames of a scene of a source video. The processing includes identification of a candidate insertion zone for the insertion of an object into the image content of at least some of the plurality of frames and determination of an insertion zone descriptor for the identified candidate insertion zone, the insertion zone descriptor comprising a candidate object type indicative of a type of object that is suitable for insertion into the candidate insertion zone.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.