EP3545436A4 - Appareil électronique et son procédé de fonctionnement - Google Patents

Appareil électronique et son procédé de fonctionnement Download PDF

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Publication number
EP3545436A4
EP3545436A4 EP18735947.6A EP18735947A EP3545436A4 EP 3545436 A4 EP3545436 A4 EP 3545436A4 EP 18735947 A EP18735947 A EP 18735947A EP 3545436 A4 EP3545436 A4 EP 3545436A4
Authority
EP
European Patent Office
Prior art keywords
operating
same
electronic apparatus
electronic
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP18735947.6A
Other languages
German (de)
English (en)
Other versions
EP3545436A1 (fr
Inventor
Seong-Min Kang
Heung-woo HAN
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Samsung Electronics Co Ltd
Original Assignee
Samsung Electronics Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Samsung Electronics Co Ltd filed Critical Samsung Electronics Co Ltd
Priority claimed from PCT/KR2018/000069 external-priority patent/WO2018128362A1/fr
Publication of EP3545436A1 publication Critical patent/EP3545436A1/fr
Publication of EP3545436A4 publication Critical patent/EP3545436A4/fr
Pending legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51—Indexing; Data structures therefor; Storage structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G06F18/24143—Distances to neighbourhood prototypes, e.g. restricted Coulomb energy networks [RCEN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/94—Hardware or software architectures specially adapted for image or video understanding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/35—Categorising the entire scene, e.g. birthday party or wedding scene
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Biomedical Technology (AREA)
  • Computing Systems (AREA)
  • Molecular Biology (AREA)
  • Databases & Information Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Library & Information Science (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Medical Informatics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Image Analysis (AREA)
EP18735947.6A 2017-01-03 2018-01-03 Appareil électronique et son procédé de fonctionnement Pending EP3545436A4 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
KR20170000789 2017-01-03
KR1020170136612A KR102428920B1 (ko) 2017-01-03 2017-10-20 전자 장치 및 그 동작 방법
PCT/KR2018/000069 WO2018128362A1 (fr) 2017-01-03 2018-01-03 Appareil électronique et son procédé de fonctionnement

Publications (2)

Publication Number Publication Date
EP3545436A1 EP3545436A1 (fr) 2019-10-02
EP3545436A4 true EP3545436A4 (fr) 2020-05-06

Family

ID=62917879

Family Applications (1)

Application Number Title Priority Date Filing Date
EP18735947.6A Pending EP3545436A4 (fr) 2017-01-03 2018-01-03 Appareil électronique et son procédé de fonctionnement

Country Status (3)

Country Link
EP (1) EP3545436A4 (fr)
KR (1) KR102428920B1 (fr)
CN (1) CN110168530B (fr)

Families Citing this family (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102301720B1 (ko) 2018-07-10 2021-09-10 주식회사 엘지에너지솔루션 전기화학 커패시터 및 이의 제조 방법
KR102135477B1 (ko) 2018-08-31 2020-07-17 엔에이치엔 주식회사 이미지 자동분류 방법 및 시스템
JP7225876B2 (ja) 2019-02-08 2023-02-21 富士通株式会社 情報処理装置、演算処理装置および情報処理装置の制御方法
KR102259045B1 (ko) * 2019-03-20 2021-05-31 박주복 Vr 이미지 생성 방법 및 장치
WO2020256339A1 (fr) * 2019-06-18 2020-12-24 삼성전자주식회사 Dispositif électronique et procédé de commande associé
KR20210048896A (ko) * 2019-10-24 2021-05-04 엘지전자 주식회사 전자 장치의 용도에 부적합한 물품의 검출
KR102144975B1 (ko) * 2019-11-08 2020-08-14 주식회사 알체라 머신 러닝 시스템 및 머신 러닝 시스템의 동작 방법
CN112906724A (zh) * 2019-11-19 2021-06-04 华为技术有限公司 一种图像处理装置、方法、介质及系统
KR102293791B1 (ko) * 2019-11-28 2021-08-25 광주과학기술원 반도체 소자의 시뮬레이션을 위한 전자 장치, 방법, 및 컴퓨터 판독가능 매체
KR102476334B1 (ko) * 2020-04-22 2022-12-09 인하대학교 산학협력단 딥러닝 기반 일기 생성 방법 및 장치
KR20210155283A (ko) * 2020-06-15 2021-12-22 삼성전자주식회사 전자 장치 및 그 동작방법
CN112016595A (zh) * 2020-08-05 2020-12-01 清华大学 图像分类方法和装置、电子设备、可读存储介质
CN112307934B (zh) * 2020-10-27 2021-11-09 深圳市商汤科技有限公司 图像检测方法及相关模型的训练方法、装置、设备、介质
KR102434483B1 (ko) * 2020-12-17 2022-08-19 주식회사 알체라 생체인증 시스템의 관리 방법 및 이를 수행하기 위한 장치
KR102479718B1 (ko) * 2021-01-14 2022-12-21 대전대학교 산학협력단 Ar 장치를 위한 인공지능 기반의 이미지 인식 및 분류 방법, 및 그 시스템
KR20220107519A (ko) * 2021-01-25 2022-08-02 주식회사 제네시스랩 복수의 역량에 대한 역량평가를 수행하는 기계학습모델을 학습시키는 방법, 장치, 및 컴퓨터-판독가능매체
CN113254742B (zh) * 2021-07-14 2021-11-30 深圳市赛野展览展示有限公司 一种基于5g深度学习人工智能的展示装置
KR102422962B1 (ko) * 2021-07-26 2022-07-20 주식회사 크라우드웍스 다중 인공지능 모델의 연속 처리 구조에 기반한 이미지 자동 분류 및 처리 방법, 그리고 이를 실행시키기 위해 컴퓨터 판독가능 기록매체에 저장된 컴퓨터 프로그램

Citations (2)

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US20150254532A1 (en) * 2014-03-07 2015-09-10 Qualcomm Incorporated Photo management
WO2016077834A1 (fr) * 2014-11-14 2016-05-19 Zorroa Corporation Systèmes et procédés de fabrication et d'utilisation d'un catalogue d'images

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KR100738080B1 (ko) * 2005-11-08 2007-07-12 삼성전자주식회사 성별을 이용한 얼굴 인식 방법 및 장치
US20110169982A1 (en) 2010-01-13 2011-07-14 Canon Kabushiki Kaisha Image management apparatus, method of controlling the same, and storage medium storing program therefor
CN105335712A (zh) * 2015-10-26 2016-02-17 小米科技有限责任公司 图像识别方法、装置及终端

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150254532A1 (en) * 2014-03-07 2015-09-10 Qualcomm Incorporated Photo management
WO2016077834A1 (fr) * 2014-11-14 2016-05-19 Zorroa Corporation Systèmes et procédés de fabrication et d'utilisation d'un catalogue d'images

Non-Patent Citations (5)

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ANONYMOUS: "Convolutional neural network - Wikipedia", 30 December 2016 (2016-12-30), XP055641393, Retrieved from the Internet <URL:https://en.wikipedia.org/w/index.php?title=Convolutional_neural_network&oldid=757325988> [retrieved on 20191112] *
HOO-CHANG SHIN ET AL: "Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning", IEEE TRANSACTIONS ON MEDICAL IMAGING., vol. 35, no. 5, 11 February 2016 (2016-02-11), US, pages 1285 - 1298, XP055556851, ISSN: 0278-0062, DOI: 10.1109/TMI.2016.2528162 *
M. BISHOP CHRISTOPER: "CHAPTER 5: Neural Networks", PATTERN RECOGNITION AND MACHINE LEARNING., 2006, US, pages 225 - 290, XP055679843, ISBN: 978-0-387-31073-2, Retrieved from the Internet <URL:https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf> [retrieved on 20200325] *
MINGSHENG LONG ET AL: "Learning Transferable Features with Deep Adaptation Networks", 32ND INTERNATIONAL CONFERENCE ON MACHINE LEARNING, 10 February 2015 (2015-02-10), Lille, France, XP055641399 *
See also references of WO2018128362A1 *

Also Published As

Publication number Publication date
CN110168530B (zh) 2024-01-26
KR102428920B1 (ko) 2022-08-04
KR20180080098A (ko) 2018-07-11
CN110168530A (zh) 2019-08-23
EP3545436A1 (fr) 2019-10-02

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