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GB2586678B - Utilizing multiple object detection models to automatically select user-requested objects in images - Google Patents

Utilizing multiple object detection models to automatically select user-requested objects in images Download PDF

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Publication number
GB2586678B
GB2586678B GB2004362.6A GB202004362A GB2586678B GB 2586678 B GB2586678 B GB 2586678B GB 202004362 A GB202004362 A GB 202004362A GB 2586678 B GB2586678 B GB 2586678B
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United Kingdom
Prior art keywords
images
object detection
automatically select
utilizing multiple
multiple object
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
GB2004362.6A
Other versions
GB2586678A (en
GB202004362D0 (en
Inventor
Cohen Scott
Lin Zhe
Ling Mingyang
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 US16/518,810 external-priority patent/US11631234B2/en
Priority claimed from US16/518,795 external-priority patent/US11302033B2/en
Priority claimed from US16/518,850 external-priority patent/US11468550B2/en
Priority claimed from US16/518,880 external-priority patent/US11107219B2/en
Application filed by Adobe Inc filed Critical Adobe Inc
Publication of GB202004362D0 publication Critical patent/GB202004362D0/en
Publication of GB2586678A publication Critical patent/GB2586678A/en
Application granted granted Critical
Publication of GB2586678B publication Critical patent/GB2586678B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • 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
    • G06F16/583—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 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
    • G06F16/53—Querying
    • G06F16/535—Filtering based on additional data, e.g. user or group profiles
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/56—Extraction of image or video features relating to colour
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras

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)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Databases & Information Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Library & Information Science (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Image Analysis (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
GB2004362.6A 2019-07-22 2020-03-26 Utilizing multiple object detection models to automatically select user-requested objects in images Active GB2586678B (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US16/518,810 US11631234B2 (en) 2019-07-22 2019-07-22 Automatically detecting user-requested objects in images
US16/518,795 US11302033B2 (en) 2019-07-22 2019-07-22 Classifying colors of objects in digital images
US16/518,850 US11468550B2 (en) 2019-07-22 2019-07-22 Utilizing object attribute detection models to automatically select instances of detected objects in images
US16/518,880 US11107219B2 (en) 2019-07-22 2019-07-22 Utilizing object attribute detection models to automatically select instances of detected objects in images

Publications (3)

Publication Number Publication Date
GB202004362D0 GB202004362D0 (en) 2020-05-13
GB2586678A GB2586678A (en) 2021-03-03
GB2586678B true GB2586678B (en) 2022-06-22

Family

ID=70553240

Family Applications (3)

Application Number Title Priority Date Filing Date
GB2004362.6A Active GB2586678B (en) 2019-07-22 2020-03-26 Utilizing multiple object detection models to automatically select user-requested objects in images
GB2005704.8A Active GB2585971B (en) 2019-07-22 2020-04-20 Classifying colors of objects in digital images
GB2005714.7A Active GB2585972B (en) 2019-07-22 2020-04-20 Utilizing object attribute detection models to automatically select instances of detected objects in images

Family Applications After (2)

Application Number Title Priority Date Filing Date
GB2005704.8A Active GB2585971B (en) 2019-07-22 2020-04-20 Classifying colors of objects in digital images
GB2005714.7A Active GB2585972B (en) 2019-07-22 2020-04-20 Utilizing object attribute detection models to automatically select instances of detected objects in images

Country Status (1)

Country Link
GB (3) GB2586678B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20230004760A1 (en) * 2021-06-28 2023-01-05 Nvidia Corporation Training object detection systems with generated images
CN116052142A (en) * 2021-10-28 2023-05-02 腾讯科技（深圳）有限公司 Information identification method and device
US12204610B2 (en) * 2022-02-14 2025-01-21 Adobe Inc. Learning parameters for generative inpainting neural networks utilizing object-aware training and masked regularization
US12165295B2 (en) 2022-05-04 2024-12-10 Adobe Inc. Digital image inpainting utilizing a cascaded modulation inpainting neural network
CN117058007A (en) * 2022-05-13 2023-11-14 奥多比公司 Object class repair in digital images using class-specific repair neural networks
US12254049B2 (en) 2022-11-10 2025-03-18 Snap Inc. Searching augmented reality experiences using visual embeddings
CN118429888B (en) * 2024-04-28 2024-10-22 中新聚能建设工程有限公司 Cutter detection method and device and shield equipment control method

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6469706B1 (en) * 1999-11-16 2002-10-22 International Business Machines Corporation Method and apparatus for detecting regions belonging to a specified color surface in an unsegmented image
US7398201B2 (en) * 2001-08-14 2008-07-08 Evri Inc. Method and system for enhanced data searching
US8508546B2 (en) * 2006-09-19 2013-08-13 Adobe Systems Incorporated Image mask generation
CN103366178B (en) * 2012-03-30 2017-12-29 北京百度网讯科技有限公司 A kind of method and apparatus for being used to carry out target image color classification
US9129191B2 (en) 2013-12-16 2015-09-08 Adobe Systems Incorporated Semantic object selection
US9619488B2 (en) * 2014-01-24 2017-04-11 Microsoft Technology Licensing, Llc Adaptable image search with computer vision assistance
US10410096B2 (en) * 2015-07-09 2019-09-10 Qualcomm Incorporated Context-based priors for object detection in images
US10192129B2 (en) 2015-11-18 2019-01-29 Adobe Systems Incorporated Utilizing interactive deep learning to select objects in digital visual media
US9972092B2 (en) * 2016-03-31 2018-05-15 Adobe Systems Incorporated Utilizing deep learning for boundary-aware image segmentation
US10424064B2 (en) 2016-10-18 2019-09-24 Adobe Inc. Instance-level semantic segmentation system
US10216766B2 (en) 2017-03-20 2019-02-26 Adobe Inc. Large-scale image tagging using image-to-topic embedding
US10460214B2 (en) 2017-10-31 2019-10-29 Adobe Inc. Deep salient content neural networks for efficient digital object segmentation

Also Published As

Publication number Publication date
GB2585972A (en) 2021-01-27
GB202005704D0 (en) 2020-06-03
GB2586678A (en) 2021-03-03
GB202005714D0 (en) 2020-06-03
GB2585971B (en) 2021-12-15
GB202004362D0 (en) 2020-05-13
GB2585972B (en) 2022-09-21
GB2585971A (en) 2021-01-27

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