MX2022009022A - Determinacion de productos visualmente similares. - Google Patents

Determinacion de productos visualmente similares.

Info

Publication number
MX2022009022A
MX2022009022A MX2022009022A MX2022009022A MX2022009022A MX 2022009022 A MX2022009022 A MX 2022009022A MX 2022009022 A MX2022009022 A MX 2022009022A MX 2022009022 A MX2022009022 A MX 2022009022A MX 2022009022 A MX2022009022 A MX 2022009022A
Authority
MX
Mexico
Prior art keywords
feature value
product
characteristic
vector space
space distance
Prior art date
Application number
MX2022009022A
Other languages
English (en)
Inventor
Huiming Qu
Estelle Afshar
Matthew Hagen
Original Assignee
Home Depot Int Inc
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 Home Depot Int Inc filed Critical Home Depot Int Inc
Publication of MX2022009022A publication Critical patent/MX2022009022A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0623—Item investigation
    • 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
    • G06F18/25—Fusion techniques
    • G06F18/253—Fusion techniques of extracted features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • 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
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761—Proximity, similarity or dissimilarity measures
    • 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
    • G06V10/806—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of extracted features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Business, Economics & Management (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Image Analysis (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

Un método implementado por computadora para determinar similitud de imagen incluye determinar, para una primera red neural, un primer valor de aspecto asociado con una primera característica en un primer producto con base en una imagen del primer producto. El método también incluye determinar, por una segunda red neural, un segundo valor de aspecto asociado con una segunda característica del primer producto con base en la imagen de primer producto. El método además involucra calcular una primera distancia de espacio de vector entre el primer valor de aspecto y un tercer valor de aspecto asociado con la primera característica de un segundo producto, y calcular una segunda distancia de espacio de vector entre el segundo valor de aspecto y un cuarto valor de aspecto asociado con la segunda característica del segundo producto. Adicionalmente, el método incluye determinar un valor de similitud con base en la primera distancia de espacio de vector y la segunda distancia de espacio vector.
MX2022009022A 2020-01-22 2021-01-22 Determinacion de productos visualmente similares. MX2022009022A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US16/749,629 US11200445B2 (en) 2020-01-22 2020-01-22 Determining visually similar products
PCT/US2021/014688 WO2021150939A1 (en) 2020-01-22 2021-01-22 Determining visually similar products

Publications (1)

Publication Number Publication Date
MX2022009022A true MX2022009022A (es) 2022-08-11

Family

ID=76857897

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2022009022A MX2022009022A (es) 2020-01-22 2021-01-22 Determinacion de productos visualmente similares.

Country Status (4)

Country Link
US (3) US11200445B2 (es)
CA (1) CA3165533A1 (es)
MX (1) MX2022009022A (es)
WO (1) WO2021150939A1 (es)

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US11836471B2 (en) * 2020-10-21 2023-12-05 Red Bend Ltd. Methods for prioritizing updates for vehicle fleets
CN112580620A (zh) * 2020-12-25 2021-03-30 北京百度网讯科技有限公司 标志图片处理方法、装置、设备和介质
US11948179B2 (en) * 2021-01-31 2024-04-02 Walmart Apollo, Llc Multi-path complimentary items recommendations
US20220309100A1 (en) * 2021-03-26 2022-09-29 EMC IP Holding Company LLC Automatic Discovery of Related Data Records
US20220398643A1 (en) * 2021-06-09 2022-12-15 Walmart Apollo, Llc Methods and apparatus for automatically ranking items based on machine learning processes
US20230117616A1 (en) * 2021-10-18 2023-04-20 Meta Platforms, Inc. Searching for products through a social media platform
US20230260249A1 (en) * 2022-02-16 2023-08-17 Donde Fashion, Inc. Systems and methods for training and using a machine learning model for matching objects
US11645618B1 (en) * 2022-12-16 2023-05-09 Intuit Inc. Method and apparatus for monitoring inventory items

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US8861844B2 (en) 2010-03-29 2014-10-14 Ebay Inc. Pre-computing digests for image similarity searching of image-based listings in a network-based publication system
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Also Published As

Publication number Publication date
US20210224582A1 (en) 2021-07-22
WO2021150939A1 (en) 2021-07-29
US11907987B2 (en) 2024-02-20
US11200445B2 (en) 2021-12-14
CA3165533A1 (en) 2021-07-29
US20220253643A1 (en) 2022-08-11
US20240144339A1 (en) 2024-05-02

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