MX367510B - Sistemas y metodos para la clasificacion de imagen al correlacionar indicaciones contextuales con imagenes. - Google Patents

Sistemas y metodos para la clasificacion de imagen al correlacionar indicaciones contextuales con imagenes.

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Publication number
MX367510B
MX367510B MX2016001687A MX2016001687A MX367510B MX 367510 B MX367510 B MX 367510B MX 2016001687 A MX2016001687 A MX 2016001687A MX 2016001687 A MX2016001687 A MX 2016001687A MX 367510 B MX367510 B MX 367510B
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Mexico
Prior art keywords
image
images
systems
methods
image classification
Prior art date
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MX2016001687A
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English (en)
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MX2016001687A (es
Inventor
Bourdev Lubomir
Paluri Balamanohar
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Facebook Inc
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Filing date
Publication date
Application filed by Facebook Inc filed Critical Facebook Inc
Publication of MX2016001687A publication Critical patent/MX2016001687A/es
Publication of MX367510B publication Critical patent/MX367510B/es

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G06F16/24573—Query processing with adaptation to user needs using data annotations, e.g. user-defined metadata
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/587—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q10/00—Administration; Management
    • G06Q10/40—Business processes related to social networking or social networking services
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/35—Categorising the entire scene, e.g. birthday party or wedding scene
    • 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
    • G06V30/19147—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • 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
    • G06V30/26—Techniques for post-processing, e.g. correcting the recognition result
    • G06V30/262—Techniques for post-processing, e.g. correcting the recognition result using context analysis, e.g. lexical, syntactic or semantic context
    • G06V30/274—Syntactic or semantic context, e.g. balancing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/10—Recognition assisted with metadata
    • 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
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/912—Applications of a database
    • Y10S707/913—Multimedia
    • Y10S707/915—Image

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computational Linguistics (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • Library & Information Science (AREA)
  • Software Systems (AREA)
  • Business, Economics & Management (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Mathematical Physics (AREA)
  • Quality & Reliability (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • General Business, Economics & Management (AREA)
  • Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Se recibe un conjunto de muestra de imágenes. Cada imagen en el conjunto de muestra se puede asociar con una o más indicaciones sociales. La correlación de cada imagen en el conjunto de muestra con una clase de imagen se califica basándose en una o más de las indicaciones sociales asociadas con la imagen. Con base en la calificación, un conjunto de entrenamiento de imagen para entrenar un clasificador se determina a partir del conjunto de muestra. En una modalidad, se determina un grado al cual un conjunto de evaluación de imágenes se correlaciona con la clase de imagen. La determinación puede comprender clasificar un subconjunto de calificación superior del conjunto de evaluación de imágenes.
MX2016001687A 2013-08-05 2014-02-11 Sistemas y metodos para la clasificacion de imagen al correlacionar indicaciones contextuales con imagenes. MX367510B (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US13/959,446 US10169686B2 (en) 2013-08-05 2013-08-05 Systems and methods for image classification by correlating contextual cues with images
PCT/US2014/015887 WO2015020691A1 (en) 2013-08-05 2014-02-11 Systems and methods for image classification by correlating contextual cues with images

Publications (2)

Publication Number Publication Date
MX2016001687A MX2016001687A (es) 2016-09-06
MX367510B true MX367510B (es) 2019-08-26

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MX2016001687A MX367510B (es) 2013-08-05 2014-02-11 Sistemas y metodos para la clasificacion de imagen al correlacionar indicaciones contextuales con imagenes.

Country Status (10)

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US (2) US10169686B2 (es)
JP (1) JP6612229B2 (es)
KR (1) KR102244748B1 (es)
CN (1) CN105612514B (es)
AU (1) AU2014304803B2 (es)
BR (1) BR112016003926A2 (es)
CA (1) CA2920193A1 (es)
IL (1) IL243859A0 (es)
MX (1) MX367510B (es)
WO (1) WO2015020691A1 (es)

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Also Published As

Publication number Publication date
IL243859A0 (en) 2016-04-21
US10169686B2 (en) 2019-01-01
CN105612514A (zh) 2016-05-25
JP2016527646A (ja) 2016-09-08
BR112016003926A2 (pt) 2019-11-12
KR102244748B1 (ko) 2021-04-28
AU2014304803A1 (en) 2016-02-25
CA2920193A1 (en) 2015-02-12
US20190279053A1 (en) 2019-09-12
WO2015020691A1 (en) 2015-02-12
MX2016001687A (es) 2016-09-06
US20150036919A1 (en) 2015-02-05
KR20160040633A (ko) 2016-04-14
CN105612514B (zh) 2020-07-21
JP6612229B2 (ja) 2019-11-27
AU2014304803B2 (en) 2019-07-04

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