GB201615373D0 - Structured knowledge modeling, extraction and localization from images - Google Patents
Structured knowledge modeling, extraction and localization from imagesInfo
- Publication number
- GB201615373D0 GB201615373D0 GBGB1615373.6A GB201615373A GB201615373D0 GB 201615373 D0 GB201615373 D0 GB 201615373D0 GB 201615373 A GB201615373 A GB 201615373A GB 201615373 D0 GB201615373 D0 GB 201615373D0
- Authority
- GB
- United Kingdom
- Prior art keywords
- localization
- extraction
- images
- structured knowledge
- knowledge modeling
- 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.)
- Granted
Links
- 238000000605 extraction Methods 0.000 title 1
- 230000004807 localization Effects 0.000 title 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
-
- 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
- G06F16/5838—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 colour
-
- 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
-
- 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
- G06F18/24137—Distances to cluster centroïds
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/29—Graphical models, e.g. Bayesian networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
-
- 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
- G06N3/042—Knowledge-based neural networks; Logical representations of neural networks
-
- 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
- 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
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
- G06N5/022—Knowledge engineering; Knowledge acquisition
-
- 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
- G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
- G06V10/422—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation for representing the structure of the pattern or shape of an object therefor
- G06V10/424—Syntactic representation, e.g. by using alphabets or grammars
-
- 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
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- 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
- G06V10/7715—Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
-
- 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
- G06V20/10—Terrestrial scenes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/70—Labelling scene content, e.g. deriving syntactic or semantic representations
-
- 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
- G06N3/044—Recurrent networks, e.g. Hopfield networks
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Software Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computing Systems (AREA)
- Multimedia (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mathematical Physics (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Library & Information Science (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Image Analysis (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201562254147P | 2015-11-11 | 2015-11-11 | |
US14/978,421 US10460033B2 (en) | 2015-11-11 | 2015-12-22 | Structured knowledge modeling, extraction and localization from images |
Publications (3)
Publication Number | Publication Date |
---|---|
GB201615373D0 true GB201615373D0 (en) | 2016-10-26 |
GB2544379A GB2544379A (en) | 2017-05-17 |
GB2544379B GB2544379B (en) | 2019-09-11 |
Family
ID=57234418
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
GB1615373.6A Active GB2544379B (en) | 2015-11-11 | 2016-09-09 | Structured knowledge modeling, extraction and localization from images |
Country Status (3)
Country | Link |
---|---|
CN (1) | CN106682060B (en) |
DE (1) | DE102016010909A1 (en) |
GB (1) | GB2544379B (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111950293A (en) * | 2020-06-24 | 2020-11-17 | 北京百度网讯科技有限公司 | Semantic representation model generation method and device, electronic equipment and storage medium |
CN113128231A (en) * | 2021-04-25 | 2021-07-16 | 深圳市慧择时代科技有限公司 | Data quality inspection method and device, storage medium and electronic equipment |
CN113407708A (en) * | 2020-03-17 | 2021-09-17 | 阿里巴巴集团控股有限公司 | Feed generation method, information recommendation method, device and equipment |
CN116188618A (en) * | 2023-04-24 | 2023-05-30 | 清华大学 | Image generation method and device based on structured semantic graph |
Families Citing this family (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11094058B2 (en) | 2015-08-14 | 2021-08-17 | Elucid Bioimaging Inc. | Systems and method for computer-aided phenotyping (CAP) using radiologic images |
US10535138B2 (en) * | 2017-11-21 | 2020-01-14 | Zoox, Inc. | Sensor data segmentation |
CN108363879A (en) * | 2018-02-27 | 2018-08-03 | 杭州深绘智能科技有限公司 | Data processing method suitable for image of clothing |
US10915577B2 (en) * | 2018-03-22 | 2021-02-09 | Adobe Inc. | Constructing enterprise-specific knowledge graphs |
JP7095377B2 (en) * | 2018-04-17 | 2022-07-05 | 富士フイルムビジネスイノベーション株式会社 | Information processing equipment and information processing programs |
JP7113916B2 (en) * | 2018-05-27 | 2022-08-05 | エルシド バイオイメージング インコーポレイテッド | Methods and systems for utilizing quantitative imaging |
CN109102024B (en) * | 2018-08-14 | 2021-08-31 | 中山大学 | Hierarchical semantic embedded model for fine object recognition and implementation method thereof |
US20200074301A1 (en) * | 2018-09-04 | 2020-03-05 | Beijing Jingdong Shangke Information Technology Co., Ltd. | End-to-end structure-aware convolutional networks for knowledge base completion |
WO2021042763A1 (en) * | 2019-09-03 | 2021-03-11 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Image searches based on word vectors and image vectors |
CN111104973B (en) * | 2019-12-06 | 2022-02-15 | 天津大学 | Knowledge attention-based fine-grained image classification method |
CN112417287B (en) * | 2020-11-24 | 2024-07-16 | 乐聚(深圳)机器人技术有限公司 | Building block searching method, model training method, device, equipment and storage medium |
CN112507706B (en) * | 2020-12-21 | 2023-01-31 | 北京百度网讯科技有限公司 | Training method and device for knowledge pre-training model and electronic equipment |
CN113609335B (en) * | 2021-08-12 | 2023-02-03 | 北京滴普科技有限公司 | Target object searching method, system, electronic equipment and storage medium |
CN114022735B (en) * | 2021-11-09 | 2023-06-23 | 北京有竹居网络技术有限公司 | Training method, device, equipment and medium for visual language pre-training model |
Family Cites Families (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20050062624A (en) * | 2002-10-18 | 2005-06-23 | 도꾸리쯔교세이호징 가가꾸 기쥬쯔 신꼬 기꼬 | Learning/thinking machine and learning/thinking method based on structured knowledge, computer system, and information generation method |
JP2004152063A (en) * | 2002-10-31 | 2004-05-27 | Nec Corp | Structuring method, structuring device and structuring program of multimedia contents, and providing method thereof |
CN100437582C (en) * | 2006-10-17 | 2008-11-26 | 浙江大学 | Image content semanteme marking method |
CN102542067A (en) * | 2012-01-06 | 2012-07-04 | 上海交通大学 | Automatic image semantic annotation method based on scale learning and correlated label dissemination |
US20140328570A1 (en) * | 2013-01-09 | 2014-11-06 | Sri International | Identifying, describing, and sharing salient events in images and videos |
US9105068B2 (en) * | 2012-11-12 | 2015-08-11 | Facebook, Inc. | Grammar model for structured search queries |
US20150178786A1 (en) * | 2012-12-25 | 2015-06-25 | Catharina A.J. Claessens | Pictollage: Image-Based Contextual Advertising Through Programmatically Composed Collages |
US9330296B2 (en) * | 2013-03-15 | 2016-05-03 | Sri International | Recognizing entity interactions in visual media |
CN103632147A (en) * | 2013-12-10 | 2014-03-12 | 公安部第三研究所 | System and method for implementing standardized semantic description of facial features |
CN103699663B (en) * | 2013-12-27 | 2017-02-08 | 中国科学院自动化研究所 | Hot event mining method based on large-scale knowledge base |
CN104933029A (en) * | 2015-06-23 | 2015-09-23 | 天津大学 | Text image joint semantics analysis method based on probability theme model |
-
2016
- 2016-09-08 DE DE102016010909.2A patent/DE102016010909A1/en active Pending
- 2016-09-09 CN CN201610816024.3A patent/CN106682060B/en active Active
- 2016-09-09 GB GB1615373.6A patent/GB2544379B/en active Active
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113407708A (en) * | 2020-03-17 | 2021-09-17 | 阿里巴巴集团控股有限公司 | Feed generation method, information recommendation method, device and equipment |
CN111950293A (en) * | 2020-06-24 | 2020-11-17 | 北京百度网讯科技有限公司 | Semantic representation model generation method and device, electronic equipment and storage medium |
CN111950293B (en) * | 2020-06-24 | 2023-06-23 | 北京百度网讯科技有限公司 | Semantic representation model generation method and device, electronic equipment and storage medium |
CN113128231A (en) * | 2021-04-25 | 2021-07-16 | 深圳市慧择时代科技有限公司 | Data quality inspection method and device, storage medium and electronic equipment |
CN116188618A (en) * | 2023-04-24 | 2023-05-30 | 清华大学 | Image generation method and device based on structured semantic graph |
CN116188618B (en) * | 2023-04-24 | 2023-08-15 | 清华大学 | Image generation method and device based on structured semantic graph |
Also Published As
Publication number | Publication date |
---|---|
GB2544379A (en) | 2017-05-17 |
DE102016010909A1 (en) | 2017-05-11 |
GB2544379B (en) | 2019-09-11 |
CN106682060A (en) | 2017-05-17 |
CN106682060B (en) | 2022-03-15 |
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