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IN2013CH01043A - - Google Patents

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Publication number
IN2013CH01043A
IN2013CH01043A IN1043CH2013A IN2013CH01043A IN 2013CH01043 A IN2013CH01043 A IN 2013CH01043A IN 1043CH2013 A IN1043CH2013 A IN 1043CH2013A IN 2013CH01043 A IN2013CH01043 A IN 2013CH01043A
Authority
IN
India
Prior art keywords
visual object
object detector
visual
class
media content
Prior art date
Application number
Inventor
Jain Vidit
Sudhakar Farfade Sachin
Original Assignee
Yahoo 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 Yahoo Inc filed Critical Yahoo Inc
Priority to IN1043CH2013 priority Critical patent/IN2013CH01043A/en
Priority to US13/894,814 priority patent/US9519659B2/en
Publication of IN2013CH01043A publication Critical patent/IN2013CH01043A/en
Priority to US15/375,868 priority patent/US10007838B2/en
Priority to US16/016,137 priority patent/US10176364B2/en

Links

Classifications

    • 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
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06F16/26—Visual data mining; Browsing structured data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; 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
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Multimedia (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Library & Information Science (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Computational Mathematics (AREA)
  • Algebra (AREA)
  • Mathematical Physics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Image Analysis (AREA)

Abstract

ABSTRACT Disclosed herein are a system, method and architecture for media content enrichment. A visual object detector is trained using a training data set and an existing visual object detector. The newly-adapted visual object detector may be used to detect a visual object belonging to a class of visual object. The existing object detector that is used to train the adapted object detector detects a class of visual objects different from the visual object class detected by the adapted object detector. A media content item depicting a visual object detected using the adapted object detector may be associated with metadata, tag or other information about the detected visual object to enrich the media content item.
IN1043CH2013 2013-03-12 2013-03-12 IN2013CH01043A (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
IN1043CH2013 IN2013CH01043A (en) 2013-03-12 2013-03-12
US13/894,814 US9519659B2 (en) 2013-03-12 2013-05-15 Media content enrichment using an adapted object detector
US15/375,868 US10007838B2 (en) 2013-03-12 2016-12-12 Media content enrichment using an adapted object detector
US16/016,137 US10176364B2 (en) 2013-03-12 2018-06-22 Media content enrichment using an adapted object detector

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN1043CH2013 IN2013CH01043A (en) 2013-03-12 2013-03-12

Publications (1)

Publication Number Publication Date
IN2013CH01043A true IN2013CH01043A (en) 2015-08-14

Family

ID=51525363

Family Applications (1)

Application Number Title Priority Date Filing Date
IN1043CH2013 IN2013CH01043A (en) 2013-03-12 2013-03-12

Country Status (2)

Country Link
US (3) US9519659B2 (en)
IN (1) IN2013CH01043A (en)

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104995662B (en) * 2013-03-20 2020-08-11 英特尔公司 Apparatus and method for managing avatar and apparatus for animating avatar
US10867328B2 (en) 2016-05-03 2020-12-15 Yembo, Inc. Systems and methods for providing AI-based cost estimates for services
EP3452972A4 (en) 2016-05-03 2020-01-01 Yembo, Inc. Systems and methods for providing ai-based cost estimates for services
US10552473B2 (en) * 2016-08-31 2020-02-04 Facebook, Inc. Systems and methods for processing media content that depict objects
CA3055381A1 (en) * 2017-03-10 2018-09-13 Walmart Apollo, Llc System and method for "always on" offline transaction collection
CN107341485B (en) * 2017-07-28 2019-12-31 江汉大学 Face recognition method and device
US10185628B1 (en) * 2017-12-07 2019-01-22 Cisco Technology, Inc. System and method for prioritization of data file backups
CN108236784B (en) * 2018-01-22 2021-09-24 腾讯科技（深圳）有限公司 Model training method and device, storage medium and electronic device
US10664966B2 (en) * 2018-01-25 2020-05-26 International Business Machines Corporation Anomaly detection using image-based physical characterization
CN109829481B (en) * 2019-01-04 2020-10-30 北京邮电大学 An image classification method, apparatus, electronic device and readable storage medium
US11068718B2 (en) * 2019-01-09 2021-07-20 International Business Machines Corporation Attribute classifiers for image classification
US11295167B2 (en) * 2020-04-27 2022-04-05 Toshiba Global Commerce Solutions Holdings Corporation Automated image curation for machine learning deployments
US11960569B2 (en) * 2021-06-29 2024-04-16 7-Eleven, Inc. System and method for refining an item identification model based on feedback
CN117557503B (en) * 2023-10-25 2024-06-25 维克多精密工业(深圳)有限公司 Thermal forming die detection method and system based on artificial intelligence

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6941323B1 (en) * 1999-08-09 2005-09-06 Almen Laboratories, Inc. System and method for image comparison and retrieval by enhancing, defining, and parameterizing objects in images
US7440586B2 (en) * 2004-07-23 2008-10-21 Mitsubishi Electric Research Laboratories, Inc. Object classification using image segmentation
US7840076B2 (en) * 2006-11-22 2010-11-23 Intel Corporation Methods and apparatus for retrieving images from a large collection of images
CN101965576B (en) * 2008-03-03 2013-03-06 视频监控公司 Object matching for tracking, indexing, and search
US8489627B1 (en) * 2008-08-28 2013-07-16 Adobe Systems Incorporated Combined semantic description and visual attribute search
US9639780B2 (en) * 2008-12-22 2017-05-02 Excalibur Ip, Llc System and method for improved classification
SG178829A1 (en) * 2009-09-16 2012-04-27 Univ Nanyang Tech Textual query based multimedia retrieval system
US8452763B1 (en) * 2009-11-19 2013-05-28 Google Inc. Extracting and scoring class-instance pairs
US8744172B2 (en) * 2011-06-15 2014-06-03 Siemens Aktiengesellschaft Image processing using random forest classifiers
US9075825B2 (en) * 2011-09-26 2015-07-07 The University Of Kansas System and methods of integrating visual features with textual features for image searching
US9224071B2 (en) * 2012-11-19 2015-12-29 Microsoft Technology Licensing, Llc Unsupervised object class discovery via bottom up multiple class learning

Also Published As

Publication number Publication date
US10176364B2 (en) 2019-01-08
US20170091530A1 (en) 2017-03-30
US20180300535A1 (en) 2018-10-18
US10007838B2 (en) 2018-06-26
US9519659B2 (en) 2016-12-13
US20140267219A1 (en) 2014-09-18

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