[go: up one dir, main page]

MX2016001687A - 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.

Info

Publication number
MX2016001687A
MX2016001687A MX2016001687A MX2016001687A MX2016001687A MX 2016001687 A MX2016001687 A MX 2016001687A MX 2016001687 A MX2016001687 A MX 2016001687A MX 2016001687 A MX2016001687 A MX 2016001687A MX 2016001687 A MX2016001687 A MX 2016001687A
Authority
MX
Mexico
Prior art keywords
image
images
systems
methods
image classification
Prior art date
Application number
MX2016001687A
Other languages
English (en)
Other versions
MX367510B (es
Inventor
Bourdev Lubomir
Paluri Balamanohar
Original Assignee
Facebook 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 Facebook Inc filed Critical Facebook Inc
Publication of MX2016001687A publication Critical patent/MX2016001687A/es
Publication of MX367510B publication Critical patent/MX367510B/es

Links

Classifications

    • 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
    • G06Q10/40—
    • 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)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Mathematical Physics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (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 true MX2016001687A (es) 2016-09-06
MX367510B MX367510B (es) 2019-08-26

Family

ID=52427721

Family Applications (1)

Application Number Title Priority Date Filing Date
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)

Country Link
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)

Families Citing this family (59)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104751198B (zh) * 2013-12-27 2018-04-27 华为技术有限公司 图像中的目标物的识别方法及装置
US10223727B2 (en) * 2014-10-20 2019-03-05 Oath Inc. E-commerce recommendation system and method
US10977571B2 (en) 2015-03-02 2021-04-13 Bluvector, Inc. System and method for training machine learning applications
CN104899872B (zh) * 2015-05-18 2017-11-03 北京大学 基于显式和隐含信息的图像视觉显著度计算方法和装置
US10534810B1 (en) * 2015-05-21 2020-01-14 Google Llc Computerized systems and methods for enriching a knowledge base for search queries
US11537262B1 (en) 2015-07-21 2022-12-27 Monotype Imaging Inc. Using attributes for font recommendations
US9906704B2 (en) 2015-09-17 2018-02-27 Qualcomm Incorporated Managing crowd sourced photography in a wireless network
JP6874757B2 (ja) * 2016-02-24 2021-05-19 日本電気株式会社 学習装置、学習方法およびプログラム
CN105761269A (zh) * 2016-03-14 2016-07-13 北京大学 基于多尺度区分性子空间的图像显著对象的检测方法
CN105825228B (zh) * 2016-03-14 2019-04-30 百度在线网络技术（北京）有限公司 图像识别方法及装置
US9892326B2 (en) 2016-03-31 2018-02-13 International Business Machines Corporation Object detection in crowded scenes using context-driven label propagation
JP6740707B2 (ja) * 2016-05-20 2020-08-19 株式会社リコー 情報処理装置、情報処理システム、情報処理方法、及びプログラム
US11314565B2 (en) * 2016-07-07 2022-04-26 Data Accelerator Ltd Method and system for application virtualization that includes resource access control
US11237857B2 (en) * 2016-07-07 2022-02-01 Data Accelerator Ltd Method and system for application virtualization that includes machine learning
US10929461B2 (en) * 2016-07-25 2021-02-23 Evernote Corporation Automatic detection and transfer of relevant image data to content collections
US10645142B2 (en) 2016-09-20 2020-05-05 Facebook, Inc. Video keyframes display on online social networks
US10083379B2 (en) 2016-09-27 2018-09-25 Facebook, Inc. Training image-recognition systems based on search queries on online social networks
US10026021B2 (en) 2016-09-27 2018-07-17 Facebook, Inc. Training image-recognition systems using a joint embedding model on online social networks
EP3306555A1 (en) * 2016-10-10 2018-04-11 Facebook, Inc. Diversifying media search results on online social networks
US20180101540A1 (en) * 2016-10-10 2018-04-12 Facebook, Inc. Diversifying Media Search Results on Online Social Networks
US11200273B2 (en) 2016-10-16 2021-12-14 Ebay Inc. Parallel prediction of multiple image aspects
US10860898B2 (en) * 2016-10-16 2020-12-08 Ebay Inc. Image analysis and prediction based visual search
US10452688B2 (en) 2016-11-08 2019-10-22 Ebay Inc. Crowd assisted query system
US11347374B2 (en) * 2016-11-17 2022-05-31 Meta Platforms, Inc. Systems and methods for managing shared content
US11544579B2 (en) 2016-11-23 2023-01-03 Primal Fusion Inc. System and method for generating training data for machine learning classifier
JP6833999B2 (ja) * 2016-11-23 2021-02-24 プライマル フュージョン インコーポレイテッド 機械学習分類器とともに知識表現を使用するためのシステム及び方法
CN106650795B (zh) * 2016-12-01 2020-06-12 携程计算机技术（上海）有限公司 酒店房型图像的排序方法
EP3336800B1 (de) * 2016-12-19 2019-08-28 Siemens Healthcare GmbH Bestimmen einer trainingsfunktion zum generieren von annotierten trainingsbildern
US10803013B2 (en) 2017-02-10 2020-10-13 Smugmug, Inc. Efficient similarity detection
US11301506B2 (en) * 2017-06-29 2022-04-12 Adobe Inc. Automated digital asset tagging using multiple vocabulary sets
CN107463953B (zh) * 2017-07-21 2019-11-19 上海媒智科技有限公司 在标签含噪情况下基于质量嵌入的图像分类方法及系统
JP7027070B2 (ja) * 2017-08-31 2022-03-01 キヤノン株式会社 情報処理装置、情報処理方法、及びプログラム
US11334750B2 (en) 2017-09-07 2022-05-17 Monotype Imaging Inc. Using attributes for predicting imagery performance
US10909429B2 (en) * 2017-09-27 2021-02-02 Monotype Imaging Inc. Using attributes for identifying imagery for selection
CN107679183B (zh) * 2017-09-29 2020-11-06 百度在线网络技术（北京）有限公司 分类器用训练数据获取方法和装置、服务器及存储介质
WO2019089578A1 (en) 2017-10-30 2019-05-09 Monotype Imaging Inc. Font identification from imagery
KR102074654B1 (ko) * 2017-11-03 2020-02-07 카페24 주식회사 쇼핑몰 웹페이지 저작 방법, 장치 및 시스템
US10140553B1 (en) * 2018-03-08 2018-11-27 Capital One Services, Llc Machine learning artificial intelligence system for identifying vehicles
US11443539B2 (en) * 2020-02-03 2022-09-13 Leigh M. Rothschild System and method for identifying and tagging individuals present in an image
CN110351180A (zh) * 2018-04-03 2019-10-18 鸿富锦精密电子(天津)有限公司 物联信息管理系统
JP7219023B2 (ja) * 2018-06-22 2023-02-07 日立造船株式会社 情報処理装置および対象物判定プログラム
US10635940B1 (en) * 2018-12-11 2020-04-28 Capital One Services, Llc Systems and methods for updating image recognition models
JP7261022B2 (ja) * 2019-01-30 2023-04-19 キヤノン株式会社 情報処理システム、端末装置及びその制御方法、プログラム、記憶媒体
US11494884B2 (en) 2019-02-21 2022-11-08 Canon U.S.A., Inc. Method and system for evaluating image sharpness
WO2020172366A1 (en) 2019-02-21 2020-08-27 Canon U.S.A., Inc. Method and system for image searching and evaluation using tags
US20220004820A1 (en) * 2019-03-06 2022-01-06 Telepathy Labs, Inc. Method and system for assisting a developer in improving an accuracy of a classifier
WO2020188701A1 (ja) * 2019-03-18 2020-09-24 日本電気株式会社 機械学習システム、情報端末、情報処理装置、情報処理方法、プログラム、学習済モデル、及び、学習済モデルを生産する方法
WO2021081741A1 (zh) * 2019-10-29 2021-05-06 深圳大学 一种基于多关系社交网络的图像分类方法及系统
US11704716B2 (en) * 2019-11-18 2023-07-18 Meta Platforms, Inc. Identifying objects within an image from a user of an online system matching products identified to the online system by the user
US11354936B1 (en) * 2020-07-15 2022-06-07 Amazon Technologies, Inc. Incremental clustering for face recognition systems
US11184445B2 (en) * 2020-09-27 2021-11-23 Jean-Michel Michel Cloutier System and method of establishing communication between users
JP7102563B2 (ja) * 2021-02-03 2022-07-19 プライマル フュージョン インコーポレイテッド 機械学習分類器とともに知識表現を使用するためのシステム及び方法
US20220414401A1 (en) * 2021-06-23 2022-12-29 International Business Machines Corporation Augmenting training datasets for machine learning models
CN115546854A (zh) * 2021-06-29 2022-12-30 Oppo广东移动通信有限公司 人脸图像质量评估方法、装置、计算机设备和存储介质
JP7388662B2 (ja) * 2021-08-20 2023-11-29 Ｌｉｎｅヤフー株式会社 情報処理装置、情報処理方法および情報処理プログラム
CN113822252B (zh) * 2021-11-24 2022-04-22 杭州迪英加科技有限公司 显微镜下病理图像细胞鲁棒检测方法
US20230260275A1 (en) * 2022-02-11 2023-08-17 Whammy, Inc. System and method for identifying objects and/or owners
US20240013559A1 (en) * 2022-07-08 2024-01-11 Palantir Technologies Inc. Systems and methods for geohash-based image scoring and labeling
US20240119344A1 (en) * 2022-10-06 2024-04-11 Deere & Company System and method for expediting distributed feedback for developing of machine learning classifiers

Family Cites Families (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5909510A (en) 1997-05-19 1999-06-01 Xerox Corporation Method and apparatus for document classification from degraded images
US7296032B1 (en) * 2001-05-17 2007-11-13 Fotiva, Inc. Digital media organization and access
US7941009B2 (en) 2003-04-08 2011-05-10 The Penn State Research Foundation Real-time computerized annotation of pictures
US9715542B2 (en) * 2005-08-03 2017-07-25 Search Engine Technologies, Llc Systems for and methods of finding relevant documents by analyzing tags
US7949186B2 (en) * 2006-03-15 2011-05-24 Massachusetts Institute Of Technology Pyramid match kernel and related techniques
US8024343B2 (en) * 2006-04-07 2011-09-20 Eastman Kodak Company Identifying unique objects in multiple image collections
US9507778B2 (en) * 2006-05-19 2016-11-29 Yahoo! Inc. Summarization of media object collections
US7877384B2 (en) 2007-03-01 2011-01-25 Microsoft Corporation Scoring relevance of a document based on image text
US8880529B2 (en) * 2007-05-15 2014-11-04 Tivo Inc. Hierarchical tags with community-based ratings
US20090083332A1 (en) * 2007-09-21 2009-03-26 The Penn State Research Foundation Tagging over time: real-world image annotation by lightweight metalearning
JP5018614B2 (ja) 2008-04-16 2012-09-05 国立大学法人電気通信大学 画像処理方法、その方法を実行するプログラム、記憶媒体、撮像機器、画像処理システム
US20110085739A1 (en) 2008-06-06 2011-04-14 Dong-Qing Zhang System and method for similarity search of images
US8385971B2 (en) 2008-08-19 2013-02-26 Digimarc Corporation Methods and systems for content processing
US20100271297A1 (en) * 2009-04-27 2010-10-28 Shoei-Lai Chen Non-contact touchpad apparatus and method for operating the same
US8478052B1 (en) * 2009-07-17 2013-07-02 Google Inc. Image classification
US8370282B1 (en) * 2009-07-22 2013-02-05 Google Inc. Image quality measures
US20110188742A1 (en) 2010-02-02 2011-08-04 Jie Yu Recommending user image to social network groups
US8401282B2 (en) 2010-03-26 2013-03-19 Mitsubishi Electric Research Laboratories, Inc. Method for training multi-class classifiers with active selection and binary feedback
US20120106854A1 (en) 2010-10-28 2012-05-03 Feng Tang Event classification of images from fusion of classifier classifications
US9218364B1 (en) * 2011-01-28 2015-12-22 Yahoo! Inc. Monitoring an any-image labeling engine
US9037600B1 (en) * 2011-01-28 2015-05-19 Yahoo! Inc. Any-image labeling engine
US8774515B2 (en) * 2011-04-20 2014-07-08 Xerox Corporation Learning structured prediction models for interactive image labeling
US20130007667A1 (en) * 2011-06-28 2013-01-03 Microsoft Corporation People centric, cross service, content discovery system
US9646226B2 (en) * 2013-04-16 2017-05-09 The Penn State Research Foundation Instance-weighted mixture modeling to enhance training collections for image annotation

Also Published As

Publication number Publication date
WO2015020691A1 (en) 2015-02-12
US20190279053A1 (en) 2019-09-12
MX367510B (es) 2019-08-26
KR102244748B1 (ko) 2021-04-28
BR112016003926A2 (pt) 2019-11-12
JP2016527646A (ja) 2016-09-08
US20150036919A1 (en) 2015-02-05
CN105612514A (zh) 2016-05-25
CA2920193A1 (en) 2015-02-12
IL243859A0 (en) 2016-04-21
US10169686B2 (en) 2019-01-01
AU2014304803B2 (en) 2019-07-04
KR20160040633A (ko) 2016-04-14
JP6612229B2 (ja) 2019-11-27
CN105612514B (zh) 2020-07-21
AU2014304803A1 (en) 2016-02-25

Similar Documents

Publication Publication Date Title
MX2016001687A (es) Sistemas y metodos para la clasificacion de imagen al correlacionar indicaciones contextuales con imagenes.
CO2019005833A2 (es) Sistemas y métodos para realizar autentificación del usuario a base de huellas dactilares usando imágenes capturadas usando dispositivos móviles
MX2017011523A (es) Sistema de prueba de bateria con camara.
IL247378B (en) Composite defect classifier
MX2020004068A (es) Sistemas y métodos para el seguimiento de portadores de bienes.
EP4350645A3 (en) System and method for toy recognition
EP3009959A3 (en) Identifying content of interest
BR112014025859A8 (pt) Sistema e métodos de processamento de informação, e, mídia legível
MX2017005750A (es) Ensayos para detectar subgrupos inmunes de células t y sus métodos de uso.
MX362983B (es) Sistemas y métodos para la representación facial.
BR102015032436A8 (pt) Método de monitoração da qualidade do grão, e, mídia legível por computador não transitória
BR112016014223A2 (pt) Sistemas, métodos e aparelho para recuperação de imagem
AR092514A1 (es) Aparato de procesamiento de informacion, metodo de procesamiento de la informacion y programa de procesamiento de la informacion
BR112016013307A2 (pt) Aparelho de processamento de imagem, e, sistemas de processamento de imagem em automóvel e de monitoramento de veículo
MX2016006745A (es) Metodo y dispositivo para determinar un usuario asociado.
EP3150963A3 (en) Indexing routes using similarity hashing
MX2017015684A (es) Dispositivo para la deteccion de una bola en movimiento y metodo para la misma.
MX352207B (es) Metodo y dispositivo para adquirir informacion de usuario.
TW201613358A (en) Image linking and sharing
AR089531A1 (es) Analisis de imagenes
GB2566651A (en) Systems and methods of providing decision support to first responders
MX2016013121A (es) Sistema de captación de imágen para una línea de fabricación automatizada.
ES2811835T3 (es) Procedimiento para determinar el riesgo de toxicidad por 5-fluorouracilo
BR112019000188A2 (pt) método implementado por computador, meio não transitório, legível por computador e sistema implementado por computador
WO2014176056A3 (en) Data classification

Legal Events

Date Code Title Description
FG Grant or registration