GB2585971B - Classifying colors of objects in digital images - Google Patents
Classifying colors of objects in digital images Download PDFInfo
- Publication number
- GB2585971B GB2585971B GB2005704.8A GB202005704A GB2585971B GB 2585971 B GB2585971 B GB 2585971B GB 202005704 A GB202005704 A GB 202005704A GB 2585971 B GB2585971 B GB 2585971B
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- United Kingdom
- Prior art keywords
- objects
- digital images
- classifying colors
- classifying
- colors
- Prior art date
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- 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
- 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; 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
- G06F16/53—Querying
- G06F16/535—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
-
- 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
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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)
- Databases & Information Systems (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Library & Information Science (AREA)
- Artificial Intelligence (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Software Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computing Systems (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Medical Informatics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Biophysics (AREA)
- Mathematical Physics (AREA)
- Molecular Biology (AREA)
- Computational Linguistics (AREA)
- Biomedical Technology (AREA)
- Image Analysis (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
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 |
US16/518,795 US11302033B2 (en) | 2019-07-22 | 2019-07-22 | Classifying colors of objects in digital 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 |
US16/518,810 US11631234B2 (en) | 2019-07-22 | 2019-07-22 | Automatically detecting user-requested objects in images |
Publications (3)
Publication Number | Publication Date |
---|---|
GB202005704D0 GB202005704D0 (en) | 2020-06-03 |
GB2585971A GB2585971A (en) | 2021-01-27 |
GB2585971B true GB2585971B (en) | 2021-12-15 |
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 Before (1)
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 |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
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 (4)
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 |
US20230259587A1 (en) * | 2022-02-14 | 2023-08-17 | Adobe Inc. | Learning parameters for generative inpainting neural networks utilizing object-aware training and masked regularization |
US20230368339A1 (en) * | 2022-05-13 | 2023-11-16 | Adobe Inc. | Object class inpainting in digital images utilizing class-specific inpainting neural networks |
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 |
Citations (2)
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 |
CN103366178A (en) * | 2012-03-30 | 2013-10-23 | 北京百度网讯科技有限公司 | Method and device for carrying out color classification on target image |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
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 |
-
2020
- 2020-03-26 GB GB2004362.6A patent/GB2586678B/en active Active
- 2020-04-20 GB GB2005704.8A patent/GB2585971B/en active Active
- 2020-04-20 GB GB2005714.7A patent/GB2585972B/en active Active
Patent Citations (2)
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 |
CN103366178A (en) * | 2012-03-30 | 2013-10-23 | 北京百度网讯科技有限公司 | Method and device for carrying out color classification on target image |
Also Published As
Publication number | Publication date |
---|---|
GB2585972B (en) | 2022-09-21 |
GB202004362D0 (en) | 2020-05-13 |
GB2585972A (en) | 2021-01-27 |
GB202005704D0 (en) | 2020-06-03 |
GB202005714D0 (en) | 2020-06-03 |
GB2586678B (en) | 2022-06-22 |
GB2586678A (en) | 2021-03-03 |
GB2585971A (en) | 2021-01-27 |
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