Title:
METHOD, SYSTEM AND APPARATUS FOR IMAGE ORIENTATION CORRECTION
Document Type and Number:
WIPO Patent Application WO/2023/059042
Kind Code:
A1
Abstract:
Broadly speaking, the present techniques generally relates to methods, systems and apparatuses for performing image orientation correction, i.e. correcting or adjusting images that are tilted. In particular, the present application relates to a computer-implemented method for generating a training dataset for training a machine learning, ML, model using federated learning to perform image orientation correction, and methods for training the ML model using the generated training dataset. Advantageously, the method to generate a training dataset enables a diverse training dataset to be generated while maintaining user data privacy, where the diversity refers to the range of image tilt angles represented by the dataset. The present application also provides methods for training the ML model using the generated training dataset.
Inventors:
SAA-GARRIGA ALBERT (GB)
YUCEL MEHMET (GB)
MAESTRI TOMMASO (GB)
PEPPAS KONSTANTINOS (GB)
YUCEL MEHMET (GB)
MAESTRI TOMMASO (GB)
PEPPAS KONSTANTINOS (GB)
Application Number:
PCT/KR2022/014935
Publication Date:
April 13, 2023
Filing Date:
October 05, 2022
Export Citation:
Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
G06T3/60; G06F16/51; G06F16/583; G06N20/00; G06T5/00; G06T7/11
Foreign References:
| US11100617B2 | 2021-08-24 | |||
| KR20200141835A | 2020-12-21 | |||
| KR20190067717A | 2019-06-17 | |||
| JP2021086284A | 2021-06-03 |
Other References:
AVISHEK GHOSH; JICHAN CHUNG; DONG YIN; KANNAN RAMCHANDRAN: "An Efficient Framework for Clustered Federated Learning", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 7 June 2020 (2020-06-07), 201 Olin Library Cornell University Ithaca, NY 14853 , XP081692788
Attorney, Agent or Firm:
KIM, Tae-hun et al. (KR)
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