JPWO2020217425A1 - - Google Patents

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Publication number
JPWO2020217425A1
JPWO2020217425A1 JP2021515437A JP2021515437A JPWO2020217425A1 JP WO2020217425 A1 JPWO2020217425 A1 JP WO2020217425A1 JP 2021515437 A JP2021515437 A JP 2021515437A JP 2021515437 A JP2021515437 A JP 2021515437A JP WO2020217425 A1 JPWO2020217425 A1 JP WO2020217425A1
Authority
JP
Japan
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.)
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Application number
JP2021515437A
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JP7211495B2 (ja
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Classifications

    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7747—Organisation of the process, e.g. bagging or boosting
    • 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
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/772—Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries
    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/778—Active pattern-learning, e.g. online learning of image or video features
    • G06V10/7784—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors
    • G06V10/7788—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors the supervisor being a human, e.g. interactive learning with a human teacher
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
    • G06V20/47—Detecting features for summarising video content

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Medical Informatics (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Image Analysis (AREA)
JP2021515437A 2019-04-25 2019-04-25 教師データ生成装置 Active JP7211495B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2019/017766 WO2020217425A1 (ja) 2019-04-25 2019-04-25 教師データ生成装置

Publications (2)

Publication Number Publication Date
JPWO2020217425A1 true JPWO2020217425A1 (ja) 2020-10-29
JP7211495B2 JP7211495B2 (ja) 2023-01-24

Family

ID=72941674

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2021515437A Active JP7211495B2 (ja) 2019-04-25 2019-04-25 教師データ生成装置

Country Status (3)

Country Link
US (1) US11954901B2 (ja)
JP (1) JP7211495B2 (ja)
WO (1) WO2020217425A1 (ja)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010033532A (ja) * 2008-06-26 2010-02-12 Sony Corp 電子機器、動きベクトル検出方法及びそのプログラム
JP2018200531A (ja) * 2017-05-26 2018-12-20 富士通株式会社 教師データ生成装置、教師データ生成方法、教師データ生成プログラム、及び物体検出システム
JP2019061579A (ja) * 2017-09-27 2019-04-18 富士フイルム株式会社 学習支援装置、学習支援装置の作動方法、学習支援プログラム、学習支援システム、および端末装置

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6357787B2 (ja) 2014-02-07 2018-07-18 日本電気株式会社 データ処理装置
US10928831B2 (en) * 2018-12-05 2021-02-23 Here Global B.V. Method and apparatus for de-biasing the detection and labeling of objects of interest in an environment
JP7238905B2 (ja) * 2019-01-25 2023-03-14 日本電気株式会社 認識器訓練装置、認識装置、データ処理システム、データ処理方法、およびプログラム

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010033532A (ja) * 2008-06-26 2010-02-12 Sony Corp 電子機器、動きベクトル検出方法及びそのプログラム
JP2018200531A (ja) * 2017-05-26 2018-12-20 富士通株式会社 教師データ生成装置、教師データ生成方法、教師データ生成プログラム、及び物体検出システム
JP2019061579A (ja) * 2017-09-27 2019-04-18 富士フイルム株式会社 学習支援装置、学習支援装置の作動方法、学習支援プログラム、学習支援システム、および端末装置

Also Published As

Publication number Publication date
WO2020217425A1 (ja) 2020-10-29
US20220215653A1 (en) 2022-07-07
JP7211495B2 (ja) 2023-01-24
US11954901B2 (en) 2024-04-09

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