CO2018010023A1 - Sistemas y métodos de inferencia automática de cambios en imágenes temporoespaciales - Google Patents

Sistemas y métodos de inferencia automática de cambios en imágenes temporoespaciales

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Publication number
CO2018010023A1
CO2018010023A1 CONC2018/0010023A CO2018010023A CO2018010023A1 CO 2018010023 A1 CO2018010023 A1 CO 2018010023A1 CO 2018010023 A CO2018010023 A CO 2018010023A CO 2018010023 A1 CO2018010023 A1 CO 2018010023A1
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Colombia
Prior art keywords
inference
images
changes
methods
tempospatial
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CONC2018/0010023A
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English (en)
Inventor
Sanat Sarangi
Prakruti Vinodchandra Bhatt
Srinivasu Pappula
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Tata Consultancy Services Ltd
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Publication of CO2018010023A1 publication Critical patent/CO2018010023A1/es

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    • G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2135—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on approximation criteria, e.g. principal component analysis
    • 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
    • G—PHYSICS
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • 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
    • G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social 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
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • 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
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20036—Morphological image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture

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  • 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)
  • Computer Vision & Pattern Recognition (AREA)
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  • General Health & Medical Sciences (AREA)
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  • Mathematical Physics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
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  • Bioinformatics & Computational Biology (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Quality & Reliability (AREA)
  • Image Analysis (AREA)

Abstract

SISTEMAS Y MÉTODOS DE INFERENCIA AUTOMÁTICA DE CAMBIOS EN IMÁGENES TEMPOROESPACIALES La presente divulgación aborda el problema técnico de permitir la inferencia automatizada de cambios en imágenes temporoespaciales aprovechando las características robustas de alto nivel extraídas de una Red Neural Convolucional (CNN) entrenada en contextos variados en lugar de métodos de características dependientes de datos. La agrupación no supervisada en las características de alto nivel elimina el engorroso requisito de etiquetar las imágenes. Como los modelos no están entrenados en un contexto específico, cualquier imagen puede ser aceptada. La inferencia en tiempo real es habilitada por una cierta combinación de agrupamiento no supervisado y clasificación supervisada. Una topología de borde de la nube garantiza la inferencia en tiempo real incluso cuando la conectividad no está disponible al garantizar que los modelos de clasificación actualizados se implementen al límite. La creación de una ontología del conocimiento basada en el aprendizaje adaptativo permite la inferencia de una imagen entrante con distintos niveles de precisión. La agricultura de precisión puede ser una aplicación de la presente divulgación. (Para ser publicado con FIG. 7)
CONC2018/0010023A 2018-01-15 2018-09-24 Sistemas y métodos de inferencia automática de cambios en imágenes temporoespaciales CO2018010023A1 (es)

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IN201821001685 2018-01-15

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CO2018010023A1 true CO2018010023A1 (es) 2018-12-14

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US (1) US10679330B2 (es)
JP (1) JP6935377B2 (es)
CN (1) CN110046631B (es)
BR (1) BR102018068976A2 (es)
CO (1) CO2018010023A1 (es)
ZA (1) ZA201806145B (es)

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CN112732967B (zh) * 2021-01-08 2022-04-29 武汉工程大学 图像自动标注方法、系统及电子设备
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JP2019125340A (ja) 2019-07-25
BR102018068976A2 (pt) 2019-07-30
CN110046631A (zh) 2019-07-23
CN110046631B (zh) 2023-04-28
ZA201806145B (en) 2020-08-26
US10679330B2 (en) 2020-06-09
US20190220967A1 (en) 2019-07-18
JP6935377B2 (ja) 2021-09-15

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