PL3877947T3 - Rozpoznawanie estetyki obrazu z wykorzystaniem wykresów kompozycji obszaru - Google Patents
Rozpoznawanie estetyki obrazu z wykorzystaniem wykresów kompozycji obszaruInfo
- Publication number
- PL3877947T3 PL3877947T3 PL19836060.4T PL19836060T PL3877947T3 PL 3877947 T3 PL3877947 T3 PL 3877947T3 PL 19836060 T PL19836060 T PL 19836060T PL 3877947 T3 PL3877947 T3 PL 3877947T3
- Authority
- PL
- Poland
- Prior art keywords
- composition graphs
- identifying image
- region composition
- image aesthetics
- aesthetics
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 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
- G06F18/24137—Distances to cluster centroïds
-
- 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
- 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
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
-
- 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
- G06N3/096—Transfer learning
-
- 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
- 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
- G06V10/426—Graphical representations
-
- 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
- G06V20/30—Scenes; Scene-specific elements in albums, collections or shared content, e.g. social network photos or video
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06V30/19173—Classification techniques
-
- 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
- G06T2207/20072—Graph-based image processing
-
- 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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Multimedia (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Mathematical Physics (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Databases & Information Systems (AREA)
- Quality & Reliability (AREA)
- Medical Informatics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Image Analysis (AREA)
- Biodiversity & Conservation Biology (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862757726P | 2018-11-08 | 2018-11-08 | |
| PCT/US2019/060365 WO2020097401A1 (en) | 2018-11-08 | 2019-11-07 | Identifying image aesthetics using region composition graphs |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| PL3877947T3 true PL3877947T3 (pl) | 2025-11-17 |
Family
ID=70550522
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PL19836060.4T PL3877947T3 (pl) | 2018-11-08 | 2019-11-07 | Rozpoznawanie estetyki obrazu z wykorzystaniem wykresów kompozycji obszaru |
Country Status (8)
| Country | Link |
|---|---|
| US (1) | US11551060B2 (pl) |
| EP (1) | EP3877947B1 (pl) |
| AU (1) | AU2019374875B2 (pl) |
| BR (1) | BR112021008038A2 (pl) |
| CA (1) | CA3102017C (pl) |
| MX (1) | MX2021001991A (pl) |
| PL (1) | PL3877947T3 (pl) |
| WO (1) | WO2020097401A1 (pl) |
Families Citing this family (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10783640B2 (en) * | 2017-10-30 | 2020-09-22 | Beijing Keya Medical Technology Co., Ltd. | Systems and methods for image segmentation using a scalable and compact convolutional neural network |
| US11244450B2 (en) * | 2019-08-19 | 2022-02-08 | The Penn State Research Foundation | Systems and methods utilizing artificial intelligence for placental assessment and examination |
| EP3815617A1 (en) * | 2019-10-30 | 2021-05-05 | Koninklijke Philips N.V. | Image-processing method and apparatus for object detection or identification |
| DE102020133963A1 (de) * | 2020-03-10 | 2021-09-16 | Samsung Electronics Co., Ltd. | Systeme und Verfahren zur Abbildrauschunterdrückung unter Verwendung von tiefen gefalteten Netzwerken |
| US11508037B2 (en) * | 2020-03-10 | 2022-11-22 | Samsung Electronics Co., Ltd. | Systems and methods for image denoising using deep convolutional networks |
| CN111950408B (zh) * | 2020-07-28 | 2023-07-11 | 深圳职业技术学院 | 基于规则图的手指静脉图像识别方法、装置及存储介质 |
| US11657629B2 (en) * | 2020-10-22 | 2023-05-23 | Paypal, Inc. | Content extraction based on graph modeling |
| CN112419245A (zh) * | 2020-11-11 | 2021-02-26 | 广州视琨电子科技有限公司 | 色环电阻检测方法、装置、设备及存储介质 |
| CN112466462B (zh) * | 2020-11-26 | 2023-03-07 | 华侨大学 | 一种基于图深度学习的emr信息关联及演化方法 |
| JP7719617B2 (ja) * | 2021-03-19 | 2025-08-06 | キヤノン株式会社 | 画像処理装置、画像処理方法 |
| CN113822291B (zh) * | 2021-06-15 | 2025-06-27 | 腾讯科技（深圳）有限公司 | 一种图像处理方法、装置、设备及存储介质 |
| CN114429122B (zh) * | 2022-01-25 | 2024-06-11 | 重庆大学 | 一种基于循环注意力的方面级情感分析系统和方法 |
| CN114373080B (zh) * | 2022-03-22 | 2022-07-29 | 中国石油大学(华东) | 基于全局推理的轻量化混合卷积模型的高光谱分类方法 |
| JP2024020924A (ja) | 2022-08-02 | 2024-02-15 | 富士通株式会社 | 特定プログラム、特定方法および情報処理装置 |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104346801B (zh) | 2013-08-02 | 2018-07-20 | 佳能株式会社 | 图像构图评估装置、信息处理装置及其方法 |
| US10410108B2 (en) * | 2016-08-08 | 2019-09-10 | EyeEm Mobile GmbH | Systems, methods, and computer program products for searching and sorting images by aesthetic quality personalized to users or segments |
| JP7149692B2 (ja) * | 2017-08-09 | 2022-10-07 | キヤノン株式会社 | 画像処理装置、画像処理方法 |
-
2019
- 2019-11-07 CA CA3102017A patent/CA3102017C/en active Active
- 2019-11-07 EP EP19836060.4A patent/EP3877947B1/en active Active
- 2019-11-07 BR BR112021008038-4A patent/BR112021008038A2/pt unknown
- 2019-11-07 MX MX2021001991A patent/MX2021001991A/es unknown
- 2019-11-07 US US16/677,161 patent/US11551060B2/en active Active
- 2019-11-07 AU AU2019374875A patent/AU2019374875B2/en active Active
- 2019-11-07 WO PCT/US2019/060365 patent/WO2020097401A1/en not_active Ceased
- 2019-11-07 PL PL19836060.4T patent/PL3877947T3/pl unknown
Also Published As
| Publication number | Publication date |
|---|---|
| US20200151546A1 (en) | 2020-05-14 |
| EP3877947B1 (en) | 2025-07-09 |
| CA3102017A1 (en) | 2020-05-14 |
| AU2019374875B2 (en) | 2024-02-22 |
| WO2020097401A1 (en) | 2020-05-14 |
| AU2019374875A1 (en) | 2020-12-17 |
| EP3877947A1 (en) | 2021-09-15 |
| US11551060B2 (en) | 2023-01-10 |
| BR112021008038A2 (pt) | 2021-07-27 |
| CA3102017C (en) | 2025-04-15 |
| MX2021001991A (es) | 2021-04-28 |
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