CN107895359B - 使用图像分析算法给神经网络提供训练数据的方法和系统 - Google Patents

使用图像分析算法给神经网络提供训练数据的方法和系统 Download PDF

Info

Publication number
CN107895359B
CN107895359B CN201710905791.6A CN201710905791A CN107895359B CN 107895359 B CN107895359 B CN 107895359B CN 201710905791 A CN201710905791 A CN 201710905791A CN 107895359 B CN107895359 B CN 107895359B
Authority
CN
China
Prior art keywords
image
pixels
digital
group
training
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.)
Active
Application number
CN201710905791.6A
Other languages
English (en)
Chinese (zh)
Other versions
CN107895359A (zh
Inventor
尼克拉·丹尼尔松
范星
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.)
Axis AB
Original Assignee
Axis AB
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 Axis AB filed Critical Axis AB
Publication of CN107895359A publication Critical patent/CN107895359A/zh
Application granted granted Critical
Publication of CN107895359B publication Critical patent/CN107895359B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F18/24137—Distances to cluster centroïds
    • G06F18/2414—Smoothing the distance, e.g. radial basis function networks [RBFN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G06T1/20—Processor architectures; Processor configuration, e.g. pipelining
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06V30/19173—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Quality & Reliability (AREA)
  • Image Analysis (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
CN201710905791.6A 2016-10-04 2017-09-29 使用图像分析算法给神经网络提供训练数据的方法和系统 Active CN107895359B (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP16192142.4A EP3306528B1 (en) 2016-10-04 2016-10-04 Using image analysis algorithms for providing traning data to neural networks
EP16192142.4 2016-10-04

Publications (2)

Publication Number Publication Date
CN107895359A CN107895359A (zh) 2018-04-10
CN107895359B true CN107895359B (zh) 2023-06-09

Family

ID=57083180

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710905791.6A Active CN107895359B (zh) 2016-10-04 2017-09-29 使用图像分析算法给神经网络提供训练数据的方法和系统

Country Status (6)

Country Link
US (1) US10496903B2 (enExample)
EP (1) EP3306528B1 (enExample)
JP (1) JP6842395B2 (enExample)
KR (1) KR102203694B1 (enExample)
CN (1) CN107895359B (enExample)
TW (1) TWI735669B (enExample)

Families Citing this family (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6624125B2 (ja) * 2017-03-13 2019-12-25 コニカミノルタ株式会社 画像検査装置、画像形成システム及び画像圧縮方法
WO2019171121A1 (en) * 2018-03-05 2019-09-12 Omron Corporation Method, device, system and program for setting lighting condition and storage medium
DE102019208257A1 (de) * 2018-07-03 2020-01-09 Heidelberger Druckmaschinen Ag Druckqualitätsanalyse mit neuronalen Netzen
CN109271847B (zh) 2018-08-01 2023-04-07 创新先进技术有限公司 无人结算场景中异常检测方法、装置及设备
KR102194303B1 (ko) 2018-10-08 2020-12-22 단국대학교 산학협력단 ３ｄ 데이터 프로세싱에 이용되는 ａｉ 트레이닝을 위한 데이터 셋 확장 생성과 전처리를 위한 장치 및 방법
EP3667557B1 (en) * 2018-12-13 2021-06-16 Axis AB Method and device for tracking an object
TWI701565B (zh) * 2018-12-19 2020-08-11 財團法人工業技術研究院 資料標記系統及資料標記方法
US11853812B2 (en) * 2018-12-20 2023-12-26 Here Global B.V. Single component data processing system and method utilizing a trained neural network
US10762393B2 (en) * 2019-01-31 2020-09-01 StradVision, Inc. Learning method and learning device for learning automatic labeling device capable of auto-labeling image of base vehicle using images of nearby vehicles, and testing method and testing device using the same
US10540572B1 (en) * 2019-01-31 2020-01-21 StradVision, Inc. Method for auto-labeling training images for use in deep learning network to analyze images with high precision, and auto-labeling device using the same
CA3130875A1 (en) * 2019-02-22 2020-08-27 Stratuscent Inc. Systems and methods for learning across multiple chemical sensing units using a mutual latent representation
EP3970110A1 (en) * 2019-05-17 2022-03-23 Barco n.v. Method and system for training generative adversarial networks with heterogeneous data
DE102019207575A1 (de) * 2019-05-23 2020-11-26 Volkswagen Aktiengesellschaft Verfahren zum Beurteilen einer funktionsspezifischen Robustheit eines Neuronalen Netzes
DE102019208733A1 (de) * 2019-06-14 2020-12-17 neurocat GmbH Verfahren und Generator zum Erzeugen von gestörten Eingangsdaten für ein neuronales Netz
KR102339181B1 (ko) * 2020-03-09 2021-12-13 에스케이 주식회사 Machine Learning을 이용한 데이터 연관성 자동 탐색 방법 및 시스템
TWI809266B (zh) * 2020-04-21 2023-07-21 中華電信股份有限公司 電梯事件偵測模型之產生與更新方法
EP3905659B1 (en) * 2020-04-28 2022-06-01 Axis AB Statistics-based electronics image stabilization
WO2021230675A1 (ko) * 2020-05-13 2021-11-18 (주)사맛디 딥러닝 기반 대상체 감성 인식 방법 및 장치
US11295430B2 (en) 2020-05-20 2022-04-05 Bank Of America Corporation Image analysis architecture employing logical operations
US11379697B2 (en) 2020-05-20 2022-07-05 Bank Of America Corporation Field programmable gate array architecture for image analysis
CN111767985B (zh) * 2020-06-19 2022-07-22 深圳市商汤科技有限公司 一种神经网络的训练方法、视频识别方法及装置
KR102213291B1 (ko) * 2020-07-30 2021-02-04 배도연 웹사이트 제작 시스템
US12185100B2 (en) * 2020-08-18 2024-12-31 Qualcomm Incorporated Encoding a data set using a neural network for uplink communication
US12423858B2 (en) * 2021-03-12 2025-09-23 Acronis International Gmbh Systems and methods for determining environment dimensions based on landmark detection
WO2023085457A1 (ko) * 2021-11-11 2023-05-19 한국전자기술연구원 효율적인 딥러닝 학습을 위한 메모리 구조 및 제어 방법
KR20240082865A (ko) * 2022-12-02 2024-06-11 삼성전자주식회사 표준 공간을 통해 영상을 처리하는 전자 장치 및 이의 제어 방법

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8965112B1 (en) * 2013-12-09 2015-02-24 Google Inc. Sequence transcription with deep neural networks

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6757602B2 (en) * 1997-02-06 2004-06-29 Automotive Technologies International, Inc. System for determining the occupancy state of a seat in a vehicle and controlling a component based thereon
JP3524250B2 (ja) * 1995-11-27 2004-05-10 キヤノン株式会社 デジタル画像処理プロセッサ
US7444030B2 (en) * 2004-11-12 2008-10-28 Micron Technology, Inc. Image encoding with dynamic buffer-capacity-level-based compression adjustment
US7840502B2 (en) * 2007-06-13 2010-11-23 Microsoft Corporation Classification of images as advertisement images or non-advertisement images of web pages
JP5193931B2 (ja) * 2009-04-20 2013-05-08 富士フイルム株式会社 画像処理装置、画像処理方法およびプログラム
US9208405B2 (en) * 2010-08-06 2015-12-08 Sony Corporation Systems and methods for digital image analysis
EP2499964B1 (en) * 2011-03-18 2015-04-15 SensoMotoric Instruments Gesellschaft für innovative Sensorik mbH Optical measuring device and system
EP2557789B1 (en) * 2011-08-09 2017-09-27 Dolby Laboratories Licensing Corporation Guided image up-sampling in video coding
US9043850B2 (en) * 2013-06-17 2015-05-26 Spotify Ab System and method for switching between media streams while providing a seamless user experience
CN104103033B (zh) * 2014-08-05 2017-06-06 广州国米科技有限公司 图像实时处理方法
EP3021583B1 (en) 2014-11-14 2019-10-23 Axis AB Method of identifying relevant areas in digital images, method of encoding digital images, and encoder system
EP3029937B1 (en) * 2014-12-03 2016-11-16 Axis AB Method and encoder for video encoding of a sequence of frames
CN104679863B (zh) 2015-02-28 2018-05-04 武汉烽火众智数字技术有限责任公司 一种基于深度学习的以图搜图方法和系统
CN105260734A (zh) * 2015-10-10 2016-01-20 燕山大学 一种具有自建模功能的商品油表面激光标码识别方法
CN105430394A (zh) 2015-11-23 2016-03-23 小米科技有限责任公司 视频数据压缩处理方法、装置和设备
CN105551036B (zh) * 2015-12-10 2019-10-08 中国科学院深圳先进技术研究院 一种深度学习网络的训练方法和装置

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8965112B1 (en) * 2013-12-09 2015-02-24 Google Inc. Sequence transcription with deep neural networks

Also Published As

Publication number Publication date
TWI735669B (zh) 2021-08-11
JP2018101406A (ja) 2018-06-28
EP3306528B1 (en) 2019-12-25
US10496903B2 (en) 2019-12-03
KR20180037593A (ko) 2018-04-12
JP6842395B2 (ja) 2021-03-17
EP3306528A1 (en) 2018-04-11
US20180096232A1 (en) 2018-04-05
TW201814596A (zh) 2018-04-16
CN107895359A (zh) 2018-04-10
KR102203694B1 (ko) 2021-01-15

Similar Documents

Publication Publication Date Title
CN107895359B (zh) 使用图像分析算法给神经网络提供训练数据的方法和系统
CN113574883B (zh) 使用深度生成性模型的视频压缩
US11991368B2 (en) Video compression using deep generative models
US11297319B2 (en) Method for encoding images and corresponding terminals
CN110309732B (zh) 基于骨架视频的行为识别方法
CN108780499B (zh) 基于量化参数的视频处理的系统和方法
US10769531B2 (en) Methods and systems for counting people
CN116261741A (zh) 用于处理图像的设备以及用于操作该设备的方法
CN111598026A (zh) 动作识别方法、装置、设备及存储介质
CN110147699B (zh) 一种图像识别方法、装置以及相关设备
CN107637072A (zh) 视频会议中的背景修改
CN119031147B (zh) 基于可学习任务感知机制的视频编解码加速方法及系统
WO2007097586A1 (en) Portable apparatuses having devices for tracking object's head, and methods of tracking object's head in portable apparatus
KR20210157100A (ko) 영상을 처리하는 디바이스 및 그 동작 방법
Hu et al. UAV image high fidelity compression algorithm based on generative adversarial networks under complex disaster conditions
WO2025103602A1 (en) Method and apparatus for video compression using skip modes
CN119032558A (zh) 使用自编码器进行面向机器的视频编码的系统和方法
Bourached et al. Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion
Morozkin Design and implementation of image processing and compression algorithms for a miniature embedded eye tracking system
TW202520717A (zh) 用於對資料進行解碼和編碼的方法和裝置
Coşar et al. Decentralized human tracking in visual sensor networks: using sparse representation for efficient communication
Katiyar A Comparative Analysis on the Applicability of Entropy in remote sensing
Yang et al. Adaptive Region-aware Video Encoding for Real-time Cloud-edge Collaborative Object Detection

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant