GB2546369B - Embedding space for images with multiple text labels - Google Patents

Embedding space for images with multiple text labels Download PDF

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Publication number
GB2546369B
GB2546369B GB1619343.5A GB201619343A GB2546369B GB 2546369 B GB2546369 B GB 2546369B GB 201619343 A GB201619343 A GB 201619343A GB 2546369 B GB2546369 B GB 2546369B
Authority
GB
United Kingdom
Prior art keywords
images
embedding space
text labels
multiple text
labels
Prior art date
Legal status (The legal status 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 status listed.)
Active
Application number
GB1619343.5A
Other versions
GB2546369A (en
Inventor
Jin Hailin
Ren Zhou
Lin Zhe
Fang Chen
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Adobe Inc
Original Assignee
Adobe 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
Priority claimed from US14/996,959 external-priority patent/US11238362B2/en
Priority claimed from US14/997,011 external-priority patent/US10026020B2/en
Application filed by Adobe Inc filed Critical Adobe Inc
Publication of GB2546369A publication Critical patent/GB2546369A/en
Application granted granted Critical
Publication of GB2546369B publication Critical patent/GB2546369B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/60—Editing figures and text; Combining figures or text
    • 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
    • G06F16/5854—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using shape and object relationship
    • 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
    • G06F16/5846—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using extracted text

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Library & Information Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Editing Of Facsimile Originals (AREA)
  • Image Processing (AREA)
GB1619343.5A 2016-01-15 2016-11-15 Embedding space for images with multiple text labels Active GB2546369B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14/996,959 US11238362B2 (en) 2016-01-15 2016-01-15 Modeling semantic concepts in an embedding space as distributions
US14/997,011 US10026020B2 (en) 2016-01-15 2016-01-15 Embedding space for images with multiple text labels

Publications (2)

Publication Number Publication Date
GB2546369A GB2546369A (en) 2017-07-19
GB2546369B true GB2546369B (en) 2020-07-01

Family

ID=59078283

Family Applications (2)

Application Number Title Priority Date Filing Date
GB1619341.9A Active GB2546368B (en) 2016-01-15 2016-11-15 Modelling semantic concepts in an embedding space as distributions
GB1619343.5A Active GB2546369B (en) 2016-01-15 2016-11-15 Embedding space for images with multiple text labels

Family Applications Before (1)

Application Number Title Priority Date Filing Date
GB1619341.9A Active GB2546368B (en) 2016-01-15 2016-11-15 Modelling semantic concepts in an embedding space as distributions

Country Status (2)

Country Link
DE (2) DE102016013630A1 (en)
GB (2) GB2546368B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11507800B2 (en) 2018-03-06 2022-11-22 Adobe Inc. Semantic class localization digital environment
CN111078885B (en) * 2019-12-18 2023-04-07 腾讯科技（深圳）有限公司 Label classification method, related device, equipment and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011094757A1 (en) * 2010-02-01 2011-08-04 Google Inc. Joint embedding for item association
US20170011279A1 (en) * 2015-07-07 2017-01-12 Xerox Corporation Latent embeddings for word images and their semantics

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011094757A1 (en) * 2010-02-01 2011-08-04 Google Inc. Joint embedding for item association
US20170011279A1 (en) * 2015-07-07 2017-01-12 Xerox Corporation Latent embeddings for word images and their semantics

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
"Large scale image annotation: learning to rank with joint word-image embeddings", J Weston et al, "Machine Learning" Vol 81, 27th July 2010, pages 21-35 *
WANG JIANG; YANG YI; MAO JUNHUA; HUANG ZHIHENG; HUANG CHANG; XU WEI: "CNN-RNN: A Unified Framework for Multi-label Image Classification", 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, 27 June 2016 (2016-06-27), pages 2285 - 2294, XP033021407, DOI: 10.1109/CVPR.2016.251 *

Also Published As

Publication number Publication date
DE102016013630A1 (en) 2017-07-20
GB2546369A (en) 2017-07-19
DE102016013631A1 (en) 2017-07-20
GB2546368B (en) 2019-10-02
GB2546368A (en) 2017-07-19

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