Title:
METHOD FOR PROCESSING IMAGE ACQUIRED FROM IMAGING DEVICE LINKED WITH COMPUTING DEVICE, AND SYSTEM USING SAME
Document Type and Number:
WIPO Patent Application WO/2023/182658
Kind Code:
A1
Abstract:
A method for processing an image performed by a computing device including a processor, according to some embodiments of the present disclosure, may comprise the steps of: acquiring an image; acquiring analysis information corresponding to an object included in the image from the image by using an object analysis model; and acquiring a character included in the object from the analysis information corresponding to the object by using an OCR model. A representative drawing may be figure 2.
Inventors:
LEE CHOONG RYUL (KR)
Application Number:
PCT/KR2023/002098
Publication Date:
September 28, 2023
Filing Date:
February 14, 2023
Export Citation:
Assignee:
LEE CHOONG RYUL (KR)
International Classes:
G06V30/10; G03B17/56; G06T7/136; G06V30/14; H04N23/69
Foreign References:
| KR102149051B1 | 2020-08-28 | |||
| KR102211516B1 | 2021-02-04 | |||
| KR20190085719A | 2019-07-19 | |||
| KR20220006753A | 2022-01-18 | |||
| KR20100007895A | 2010-01-22 | |||
| KR102480238B1 | 2022-12-21 | |||
| KR20110032244A | 2011-03-30 | |||
| KR20190085464A | 2019-07-18 | |||
| KR20190074011A | 2019-06-27 | |||
| KR20190098091A | 2019-08-21 | |||
| KR20190106943A | 2019-09-18 | |||
| KR20180109499A | 2018-10-08 | |||
| KR20190036323A | 2019-04-04 |
Other References:
Y. ZHOU ET AL.: "Learning to Reconstruct 3D Manhattan Wireframes from a Single Image", 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV, 2019, pages 7697 - 7706, XP033723878, DOI: 10.1109/ICCV.2019.00779
SHIN, D.KIM, I.: "Deep Image Understanding Using Multilayered Contexts", MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, pages 1 - 11
MO, K.ZHU, S.CHANG, A. X.YI, L.TRIPATHI, S.GUIBAS, L. J.SU, H.: "2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR", 2019, IEEE, article "PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding"
BABAEE, M.LI, L.RIGOLL, G.: "Person identification from partial gait cycle using fully convolutional neural networks", NEUROCOMPUTING, vol. 338, 2019, pages 116 - 125
MUHAMMAD, U. R.SVANERA, M.LEONARDI, R.BENINI, S.: "Hair detection, segmentation, and hairstyle classification in the wild", IMAGE AND VISION COMPUTING, vol. 71, 2018, pages 25 - 37, XP055456483, DOI: 10.1016/j.imavis.2018.02.001
MOUGEOT, G.LI, D.JIA, S.: "PRICAI 2019: Trends in Artificial Intelligence", 2019, SPRINGER INTERNATIONAL PUBLISHING, article "A Deep Learning Approach for Dog Face Verification and Recognition", pages: 418 - 430
RADULY, Z.SULYOK, C.VADASZI, Z.ZOLDE, A.: "2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY", 2018, IEEE, article "Dog Breed Identification Using Deep Learning"
WU, Z.YAO, T.FU, Y.JIANG, Y.-G.: "Deep learning for video classification and captioning", FRONTIERS OF MULTIMEDIA RESEARCH, 2017, pages 3 - 29
WU, C.-Y.GIRSHICK, R.HE, K.FEICHTENHOFER, C.KRAHENBUHL, P.: "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR", 2020, IEEE, article "A Multigrid Method for Efficiently Training Video Models"
ULLAH, A.AHMAD, J.MUHAMMAD, K.SAJJAD, M.BAIK, S. W.: "Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features", IEEE ACCESS, vol. 6, 2018, pages 1155 - 1166, XP055748967, DOI: 10.1109/ACCESS.2017.2778011
Y. ZHOU ET AL.: "Learning to Reconstruct 3D Manhattan Wireframes From a Single Image", 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV, 2019, pages 7697 - 7706, XP033723878, DOI: 10.1109/ICCV.2019.00779
SHIN, D.KIM, I.: "Deep Image Understanding Using Multilayered Contexts", MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, pages 1 - 11
MO, K.ZHU, S.CHANG, A. X.YI, L.TRIPATHI, S.GUIBAS, L. J.SU, H.: "2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR", 2019, IEEE, article "PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding"
BABAEE, M.LI, L.RIGOLL, G.: "Person identification from partial gait cycle using fully convolutional neural networks", NEUROCOMPUTING, vol. 338, 2019, pages 116 - 125
MUHAMMAD, U. R.SVANERA, M.LEONARDI, R.BENINI, S.: "Hair detection, segmentation, and hairstyle classification in the wild", IMAGE AND VISION COMPUTING, vol. 71, 2018, pages 25 - 37, XP055456483, DOI: 10.1016/j.imavis.2018.02.001
MOUGEOT, G.LI, D.JIA, S.: "PRICAI 2019: Trends in Artificial Intelligence", 2019, SPRINGER INTERNATIONAL PUBLISHING, article "A Deep Learning Approach for Dog Face Verification and Recognition", pages: 418 - 430
RADULY, Z.SULYOK, C.VADASZI, Z.ZOLDE, A.: "2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY", 2018, IEEE, article "Dog Breed Identification Using Deep Learning"
WU, Z.YAO, T.FU, Y.JIANG, Y.-G.: "Deep learning for video classification and captioning", FRONTIERS OF MULTIMEDIA RESEARCH, 2017, pages 3 - 29
WU, C.-Y.GIRSHICK, R.HE, K.FEICHTENHOFER, C.KRAHENBUHL, P.: "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR", 2020, IEEE, article "A Multigrid Method for Efficiently Training Video Models"
ULLAH, A.AHMAD, J.MUHAMMAD, K.SAJJAD, M.BAIK, S. W.: "Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features", IEEE ACCESS, vol. 6, 2018, pages 1155 - 1166, XP055748967, DOI: 10.1109/ACCESS.2017.2778011
Y. ZHOU ET AL.: "Learning to Reconstruct 3D Manhattan Wireframes From a Single Image", 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV, 2019, pages 7697 - 7706, XP033723878, DOI: 10.1109/ICCV.2019.00779
Attorney, Agent or Firm:
LEE, Dae Ho et al. (KR)
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