公开(公告)号：US12143730B2

公开(公告)日：2024-11-12

申请号：US17031423

申请日：2020-09-24

Applicant: Huawei Technologies Co., Ltd.

Inventor： Steven George McDonagh ,  Sarah Parisot ,  Gregory Slabaugh ,  Zhenguo Li

IPC: H04N23/88 ,  G06T7/90 ,  H04N1/60 ,  G06N3/0985

Abstract: A processing entity generates a model for estimating scene illumination colour for a source image captured by a camera The processing entity acquires a set of images, captured by a respective camera, the set of images as a whole including images captured by multiple cameras; forms a set of tasks by assigning each image of the images set to a respective task such that images in the same task have in common that a the images are in a predetermined range; trains model parameters by repeatedly: selecting at least one of the tasks, forming an interim set of model parameters based on a first subset of the images of that task, estimating the quality of the interim set of model parameters against a second subset of the images of that task and updating the parameters of the model based on the interim set of parameters and the estimated quality.

公开(公告)号：US20230111287A1

公开(公告)日：2023-04-13

申请号：US18065405

申请日：2022-12-13

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xu Lan ,  Sarah Parisot ,  Steven George McDonagh ,  Weiran Huang

IPC: G06N20/00 ,  G06V10/74 ,  G06V10/764 ,  G06V10/77

Abstract: A computer system and method are provided for training a machine learning system to perform a classification task by classifying input data into one of a plurality of classes. The system is configured to: receive per class training data from which per class representations can be derived, wherein each class is described by multiple representations; process the training data to form, for at least one class, a first proxy for a relatively global portion of an item of training data and multiple proxies for distinct relatively local portions of the item of training data, each proxy corresponding to a representation of the data belonging to that class.

公开(公告)号：US11949996B2

公开(公告)日：2024-04-02

申请号：US17743216

申请日：2022-05-12

Applicant: Huawei Technologies Co., Ltd.

Inventor： Daniel Hernandez ,  Sarah Parisot ,  Ales Leonardis ,  Gregory Slabaugh ,  Steven George McDonagh

IPC: H04N23/88 ,  G06V10/56 ,  G06V10/60 ,  G06V10/762 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  H04N9/64

CPC classification number: H04N23/88 ,  G06V10/56 ,  G06V10/60 ,  G06V10/762 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  H04N9/646

Abstract: A device for estimating a scene illumination color for a source image is configured to: determine a set of candidate illuminants and for each of the candidate illuminants, determine a respective correction of the source image; for each of the candidate illuminants, apply the respective correction to the source image to form a corresponding set of corrected images; for each corrected image from the set of corrected images, implement a trained data-driven model to estimate a respective probability of achromaticity of the respective corrected image; and based on the estimated probabilities of achromaticity for the set of corrected images, obtain a final estimate of the scene illumination color for the source image. This approach allows for the evaluation of multiple candidate illuminates to determine an estimate of the scene illumination color.