FR3065825B1 - Procede et dispositif automatises aptes a assurer l'invariance perceptive d'un evenement spatio-temporel dynamiquement en vue d'en extraire des representations semantiques unifiees - Google Patents

Procede et dispositif automatises aptes a assurer l'invariance perceptive d'un evenement spatio-temporel dynamiquement en vue d'en extraire des representations semantiques unifiees Download PDF

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Publication number
FR3065825B1
FR3065825B1 FR1700465A FR1700465A FR3065825B1 FR 3065825 B1 FR3065825 B1 FR 3065825B1 FR 1700465 A FR1700465 A FR 1700465A FR 1700465 A FR1700465 A FR 1700465A FR 3065825 B1 FR3065825 B1 FR 3065825B1
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spatio
invariance
perceptual
extracting
ensure
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FR1700465A
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FR3065825A1 (fr
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Patrick Pirim
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ANOTHER BRAIN, FR
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Individual
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Priority to FR1700465A priority Critical patent/FR3065825B1/fr
Application filed by Individual filed Critical Individual
Priority to CN201880025028.7A priority patent/CN110520869B/zh
Priority to JP2019554641A priority patent/JP6909307B2/ja
Priority to US16/499,820 priority patent/US11164049B2/en
Priority to KR1020197028748A priority patent/KR102454841B1/ko
Priority to EP18718863.6A priority patent/EP3616132A1/fr
Priority to PCT/EP2018/060929 priority patent/WO2018197693A1/fr
Publication of FR3065825A1 publication Critical patent/FR3065825A1/fr
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Publication of FR3065825B1 publication Critical patent/FR3065825B1/fr
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    • 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
    • G06V10/955—Hardware or software architectures specially adapted for image or video understanding using specific electronic processors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • 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
    • G06F18/24137—Distances to cluster centroïds
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/254—Fusion techniques of classification results, e.g. of results related to same input data
    • G06F18/256—Fusion techniques of classification results, e.g. of results related to same input data of results relating to different input data, e.g. multimodal recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis
    • 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
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G06N5/027—Frames
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/37—Determination of transform parameters for the alignment of images, i.e. image registration using transform domain 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
    • 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
    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/809—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of classification results, e.g. where the classifiers operate on the same input data
    • G06V10/811—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of classification results, e.g. where the classifiers operate on the same input data the classifiers operating on different input data, e.g. multi-modal recognition
    • 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)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
FR1700465A 2017-04-28 2017-04-28 Procede et dispositif automatises aptes a assurer l'invariance perceptive d'un evenement spatio-temporel dynamiquement en vue d'en extraire des representations semantiques unifiees Active FR3065825B1 (fr)

Priority Applications (7)

Application Number Priority Date Filing Date Title
FR1700465A FR3065825B1 (fr) 2017-04-28 2017-04-28 Procede et dispositif automatises aptes a assurer l'invariance perceptive d'un evenement spatio-temporel dynamiquement en vue d'en extraire des representations semantiques unifiees
JP2019554641A JP6909307B2 (ja) 2017-04-28 2018-04-27 一体化された意味論的表現を時空事象から抽出することを目的として時空事象の動的知覚的不変性を提供することができる自動化方法及び装置
US16/499,820 US11164049B2 (en) 2017-04-28 2018-04-27 Automated method and device capable of providing dynamic perceptive invariance of a space-time event with a view to extracting unified semantic representations therefrom
KR1020197028748A KR102454841B1 (ko) 2017-04-28 2018-04-27 통합된 의미론적 표현들을 추출하기 위하여 공간-시간 이벤트의 다이나믹 지각 불변량을 제공가능한 자동화된 방법 및 디바이스
CN201880025028.7A CN110520869B (zh) 2017-04-28 2018-04-27 信号处理电路和方法、从信号提取感知不变的装置和方法
EP18718863.6A EP3616132A1 (fr) 2017-04-28 2018-04-27 Procédé et dispositif automatisés aptes à assurer l'invariance perceptive d'un évènement spatio-temporel dynamiquement en vue d'en extraire des représentations sémantiques unifiées
PCT/EP2018/060929 WO2018197693A1 (fr) 2017-04-28 2018-04-27 Procédé et dispositif automatisés aptes à assurer l'invariance perceptive d'un évènement spatio-temporel dynamiquement en vue d'en extraire des représentations sémantiques unifiées

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR1700465A FR3065825B1 (fr) 2017-04-28 2017-04-28 Procede et dispositif automatises aptes a assurer l'invariance perceptive d'un evenement spatio-temporel dynamiquement en vue d'en extraire des representations semantiques unifiees
FR1700465 2017-04-28

Publications (2)

Publication Number Publication Date
FR3065825A1 FR3065825A1 (fr) 2018-11-02
FR3065825B1 true FR3065825B1 (fr) 2022-12-23

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FR1700465A Active FR3065825B1 (fr) 2017-04-28 2017-04-28 Procede et dispositif automatises aptes a assurer l'invariance perceptive d'un evenement spatio-temporel dynamiquement en vue d'en extraire des representations semantiques unifiees

Country Status (7)

Country Link
US (1) US11164049B2 (fr)
EP (1) EP3616132A1 (fr)
JP (1) JP6909307B2 (fr)
KR (1) KR102454841B1 (fr)
CN (1) CN110520869B (fr)
FR (1) FR3065825B1 (fr)
WO (1) WO2018197693A1 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11027743B1 (en) * 2020-03-31 2021-06-08 Secondmind Limited Efficient computational inference using gaussian processes
CN113886866B (zh) * 2021-08-09 2024-06-07 安徽师范大学 基于语义位置转移的时空关联轨迹隐私保护方法
US20230288566A1 (en) * 2022-03-09 2023-09-14 Silc Technologies, Inc. Adjusting imaging system data in response to edge effects

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2540263B1 (fr) * 1983-01-31 1988-05-20 Commissariat Energie Atomique Procede de reconnaissance automatique d'une image a partir d'une image correspondante de reference
FR2751772B1 (fr) * 1996-07-26 1998-10-16 Bev Bureau Etude Vision Soc Procede et dispositif fonctionnant en temps reel, pour le reperage et la localisation d'une zone en mouvement relatif dans une scene, ainsi que pour la determination de la vitesse et la direction du deplacement
FR2798761B1 (fr) 1999-09-17 2002-03-29 Thomson Multimedia Sa Procede de construction d'un modele de scene 3d par analyse de sequence d'images
FR2821459B1 (fr) * 2001-02-23 2004-11-12 Holding Bev Sa Procede et dispositif de reperage d'un objet par sa forme, sa dimension et/ou son orientation
FR2858447A1 (fr) * 2003-07-29 2005-02-04 Holding Bev Sa Procede et dispositif automatise de perception avec determination et caracterisation de bords et de frontieres d'objets d'un espace, construction de contours et applications
US7167849B2 (en) 2003-10-29 2007-01-23 Microsoft Corporation Invariant pattern recognition
FR2884625A1 (fr) 2005-04-15 2006-10-20 Holding Bev Sa Sa Luxembourgeo Procede de guidage automatique de vehicule dans une voie de circulation, dispositif correspondant
US9361586B2 (en) 2009-12-07 2016-06-07 Yahoo! Inc. Method and system for invariant pattern recognition
US9405975B2 (en) 2010-03-26 2016-08-02 Brain Corporation Apparatus and methods for pulse-code invariant object recognition
CN102999547A (zh) * 2011-09-16 2013-03-27 莱克西私人有限公司 搜索查询的自动生成
CN103268498B (zh) * 2013-04-21 2016-06-29 郑州轻工业学院 一种感兴趣区域模糊图像语义理解的方法
FR3039684B1 (fr) 2015-07-27 2018-08-10 Compagnie Generale Des Etablissements Michelin Procede optimise d'analyse de la conformite de la surface d'un pneumatique
CN106126590A (zh) * 2016-06-20 2016-11-16 北京航空航天大学 一种基于关键信息的无人机侦察视频检索方法

Also Published As

Publication number Publication date
KR20190122790A (ko) 2019-10-30
US20200104647A1 (en) 2020-04-02
FR3065825A1 (fr) 2018-11-02
JP6909307B2 (ja) 2021-07-28
CN110520869A (zh) 2019-11-29
EP3616132A1 (fr) 2020-03-04
KR102454841B1 (ko) 2022-10-13
US11164049B2 (en) 2021-11-02
CN110520869B (zh) 2023-06-02
JP2020519984A (ja) 2020-07-02
WO2018197693A1 (fr) 2018-11-01

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