Depth based image tagging
Номер патента: EP4272092A1
Опубликовано: 08-11-2023
Автор(ы): Stephen John Heathcote GURNETT
Принадлежит: Synchronoss Technologies Inc
Опубликовано: 08-11-2023
Автор(ы): Stephen John Heathcote GURNETT
Принадлежит: Synchronoss Technologies Inc
Реферат: Systems, methods, devices, and non-transitory computer-readable media for depth-based image tag generation are described. The disclosed technology may access images stored in an image repository. The images may comprise a first image. Using image processing techniques, a first object and a second object in the first image may be detected. Using machine-learning models, a first tag associated with the first object and a second tag associated with the second object may be identified. Using the machine-learning models, a first depth value associated with the first object and a second depth value associated with the second object may be determined. Based on the first depth value and the second depth value, a spatial relationship between the first object and the second object may be determined. Metadata associated with the first image may be generated. The metadata may indicate the spatial relationship between the first object and the second object.
Depth based image tagging
Номер патента: WO2022147333A1. Автор: Stephen John Heathcote GURNETT. Владелец: SYNCHRONOSS TECHNOLOGIES, INC.. Дата публикации: 2022-07-07.