KR102493075B1 - 콘텐츠 검출에 대한 이미지 프로세싱 방법 - Google Patents
콘텐츠 검출에 대한 이미지 프로세싱 방법 Download PDFInfo
- Publication number
- KR102493075B1 KR102493075B1 KR1020197026847A KR20197026847A KR102493075B1 KR 102493075 B1 KR102493075 B1 KR 102493075B1 KR 1020197026847 A KR1020197026847 A KR 1020197026847A KR 20197026847 A KR20197026847 A KR 20197026847A KR 102493075 B1 KR102493075 B1 KR 102493075B1
- Authority
- KR
- South Korea
- Prior art keywords
- frequency domain
- image
- frames
- input
- content
- 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
Links
Images
Classifications
-
- 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
- G06V10/431—Frequency domain transformation; Autocorrelation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
-
- 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
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/64—Three-dimensional [3D] objects
-
- 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
- G06T2207/20076—Probabilistic image processing
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Algebra (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Operations Research (AREA)
- Computing Systems (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Image Analysis (AREA)
- Inspection Of Paper Currency And Valuable Securities (AREA)
- Threshing Machine Elements (AREA)
- Complex Calculations (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP17156741.5 | 2017-02-17 | ||
| EP17156741.5A EP3364343A1 (en) | 2017-02-17 | 2017-02-17 | Method for image processing for object detection |
| PCT/EP2018/054032 WO2018150026A1 (en) | 2017-02-17 | 2018-02-19 | Method for image processing for content detection |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| KR20190121323A KR20190121323A (ko) | 2019-10-25 |
| KR102493075B1 true KR102493075B1 (ko) | 2023-01-27 |
Family
ID=58094266
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020197026847A Active KR102493075B1 (ko) | 2017-02-17 | 2018-02-19 | 콘텐츠 검출에 대한 이미지 프로세싱 방법 |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US10540537B2 (https=) |
| EP (2) | EP3364343A1 (https=) |
| JP (1) | JP2020507864A (https=) |
| KR (1) | KR102493075B1 (https=) |
| CN (1) | CN110392893A (https=) |
| IL (1) | IL268215B (https=) |
| WO (1) | WO2018150026A1 (https=) |
Families Citing this family (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3364343A1 (en) | 2017-02-17 | 2018-08-22 | Cogisen SRL | Method for image processing for object detection |
| EP3364342A1 (en) | 2017-02-17 | 2018-08-22 | Cogisen SRL | Method for image processing and video compression |
| US11301733B2 (en) * | 2018-05-18 | 2022-04-12 | Google Llc | Learning data augmentation strategies for object detection |
| CN109522925B (zh) * | 2018-09-30 | 2021-08-06 | 咪咕文化科技有限公司 | 一种图像识别方法、装置和存储介质 |
| CN109918538B (zh) * | 2019-01-25 | 2021-04-16 | 清华大学 | 视频信息处理方法及装置、存储介质及计算设备 |
| CN109977792B (zh) * | 2019-03-04 | 2021-11-05 | 上海商汤智能科技有限公司 | 人脸特征压缩方法及装置 |
| CN110083430B (zh) * | 2019-04-30 | 2022-03-29 | 成都映潮科技股份有限公司 | 一种系统主题色更换方法、装置及介质 |
| US11120273B2 (en) * | 2019-06-21 | 2021-09-14 | Gfycat, Inc. | Adaptive content classification of a video content item |
| US12033035B2 (en) * | 2019-09-04 | 2024-07-09 | Advanced Micro Devices, Inc. | Method and apparatus for predicting kernel tuning parameters |
| CN111507277B (zh) * | 2020-04-20 | 2023-05-09 | 国网安徽省电力有限公司 | 一种作业流程规范性识别模型的构建方法及应用 |
| CN112529080B (zh) * | 2020-12-11 | 2023-07-25 | 深圳龙岗智能视听研究院 | 一种基于频谱特征判别的图像生成方法 |
| CN113569707A (zh) * | 2021-07-23 | 2021-10-29 | 北京百度网讯科技有限公司 | 活体检测方法、装置、电子设备以及存储介质 |
| US12333777B2 (en) | 2021-12-23 | 2025-06-17 | Intel Corporation | Event-based graphics engine for fast video rendering |
| US12340274B2 (en) | 2021-12-23 | 2025-06-24 | Intel Corporation | Classical to quantum remapping for hybrid quantum computing systems |
| CN115033741B (zh) * | 2022-04-13 | 2025-03-14 | 浙江大华技术股份有限公司 | 一种信息载体的检测方法及设备 |
| CN117765264B (zh) * | 2024-02-22 | 2024-06-21 | 北京理工大学 | 基于频率自适应膨胀卷积的图像语义分割方法及系统 |
| CN119359993B (zh) * | 2024-10-10 | 2025-12-02 | 浙江大学 | 一种基于频域数据球化的红外弱小目标检测方法及装置 |
Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3815689B2 (ja) * | 2003-11-20 | 2006-08-30 | 松下電器産業株式会社 | 移動物体検出装置及び移動物体検出方法 |
| JP4757808B2 (ja) * | 2007-01-25 | 2011-08-24 | 富士通テン株式会社 | 画像認識装置、画像認識方法、車両制御装置および車両制御方法 |
| US8200022B2 (en) | 2008-03-24 | 2012-06-12 | Verint Systems Ltd. | Method and system for edge detection |
| KR101725126B1 (ko) * | 2011-12-14 | 2017-04-12 | 한국전자통신연구원 | 특징 벡터 분류기 및 이를 이용하는 인식 장치 |
| US8913835B2 (en) * | 2012-08-03 | 2014-12-16 | Kodak Alaris Inc. | Identifying key frames using group sparsity analysis |
| US20140198126A1 (en) * | 2013-01-16 | 2014-07-17 | Qualcomm Mems Technologies, Inc. | Methods and apparatus for reduced low-tone half-tone pattern visibility |
| EP2790126B1 (en) * | 2013-04-08 | 2016-06-01 | Cogisen SRL | Method for gaze tracking |
| EP2790130A1 (en) * | 2013-04-08 | 2014-10-15 | Cogisen SRL | Method for object recognition |
| US9195903B2 (en) * | 2014-04-29 | 2015-11-24 | International Business Machines Corporation | Extracting salient features from video using a neurosynaptic system |
| CN105096342A (zh) * | 2015-08-11 | 2015-11-25 | 杭州景联文科技有限公司 | 一种基于傅里叶描述子和方向梯度直方图的入侵检测算法 |
| CN105631469A (zh) * | 2015-12-18 | 2016-06-01 | 华南理工大学 | 一种多层稀疏编码特征的鸟类图像识别方法 |
| CN105631807B (zh) * | 2015-12-21 | 2018-11-16 | 西安电子科技大学 | 基于稀疏域选取的单帧图像超分辨重建方法 |
| EP3364343A1 (en) | 2017-02-17 | 2018-08-22 | Cogisen SRL | Method for image processing for object detection |
| EP3364342A1 (en) | 2017-02-17 | 2018-08-22 | Cogisen SRL | Method for image processing and video compression |
-
2017
- 2017-02-17 EP EP17156741.5A patent/EP3364343A1/en not_active Withdrawn
-
2018
- 2018-02-19 IL IL268215A patent/IL268215B/en unknown
- 2018-02-19 US US15/899,301 patent/US10540537B2/en active Active
- 2018-02-19 KR KR1020197026847A patent/KR102493075B1/ko active Active
- 2018-02-19 JP JP2019544666A patent/JP2020507864A/ja not_active Ceased
- 2018-02-19 EP EP18705152.9A patent/EP3583548A1/en not_active Withdrawn
- 2018-02-19 CN CN201880012755.XA patent/CN110392893A/zh active Pending
- 2018-02-19 WO PCT/EP2018/054032 patent/WO2018150026A1/en not_active Ceased
Also Published As
| Publication number | Publication date |
|---|---|
| EP3583548A1 (en) | 2019-12-25 |
| IL268215B (en) | 2022-07-01 |
| US10540537B2 (en) | 2020-01-21 |
| EP3364343A1 (en) | 2018-08-22 |
| US20180239952A1 (en) | 2018-08-23 |
| IL268215A (en) | 2019-09-26 |
| JP2020507864A (ja) | 2020-03-12 |
| CN110392893A (zh) | 2019-10-29 |
| KR20190121323A (ko) | 2019-10-25 |
| WO2018150026A1 (en) | 2018-08-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102493075B1 (ko) | 콘텐츠 검출에 대한 이미지 프로세싱 방법 | |
| Khan et al. | An effective framework for driver fatigue recognition based on intelligent facial expressions analysis | |
| Kim et al. | Fully deep blind image quality predictor | |
| Uçar et al. | A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering | |
| Sahoo et al. | Hand gesture recognition using DWT and F‐ratio based feature descriptor | |
| Zhang et al. | Multiscale feature tensor train rank minimization for multidimensional image recovery | |
| Wang et al. | Semantic perceptual image compression with a Laplacian pyramid of convolutional networks | |
| Islam et al. | Representation for action recognition with motion vector termed as: SDQIO | |
| Kim et al. | A new convolutional network-in-network structure and its applications in skin detection, semantic segmentation, and artifact reduction | |
| Feichtenhofer et al. | Dynamically encoded actions based on spacetime saliency | |
| Wu et al. | Convolutional LSTM networks for video-based person re-identification | |
| EP2790130A1 (en) | Method for object recognition | |
| Hara | Recent advances in video action recognition with 3d convolutions | |
| Yang et al. | Principal component analysis-based visual saliency detection | |
| Chen et al. | Frontal face generation from multiple pose-variant faces with cgan in real-world surveillance scene | |
| Ouanan et al. | Gabor-zernike features based face recognition scheme | |
| Zheng et al. | Weighted direct nonlinear regression for effective image interpolation | |
| Shi et al. | Local part model for action recognition | |
| Fan et al. | Facial expression recognition based on multiple feature fusion in video | |
| Yu et al. | Bottom–up attention: pulsed PCA transform and pulsed cosine transform | |
| CN114926348A (zh) | 一种去除低照度视频噪声的装置和方法 | |
| Chen et al. | Improving Occluded Face Recognition with Image Fusion | |
| Wang et al. | SMTCNN-A global spatio-temporal texture convolutional neural network for 3D dynamic texture recognition | |
| CN121259512B (zh) | 一种园区异常行为少样本实时监测方法与系统 | |
| Li et al. | Dense Pedestrian Detection Algorithm Based on an Improved Real-Time DEtection TRansformer. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PA0105 | International application |
Patent event date: 20190911 Patent event code: PA01051R01D Comment text: International Patent Application |
|
| PG1501 | Laying open of application | ||
| A201 | Request for examination | ||
| PA0201 | Request for examination |
Patent event code: PA02012R01D Patent event date: 20210216 Comment text: Request for Examination of Application |
|
| PN2301 | Change of applicant |
Patent event date: 20211108 Comment text: Notification of Change of Applicant Patent event code: PN23011R01D |
|
| E902 | Notification of reason for refusal | ||
| PE0902 | Notice of grounds for rejection |
Comment text: Notification of reason for refusal Patent event date: 20220421 Patent event code: PE09021S01D |
|
| E701 | Decision to grant or registration of patent right | ||
| PE0701 | Decision of registration |
Patent event code: PE07011S01D Comment text: Decision to Grant Registration Patent event date: 20221025 |
|
| GRNT | Written decision to grant | ||
| PR0701 | Registration of establishment |
Comment text: Registration of Establishment Patent event date: 20230125 Patent event code: PR07011E01D |
|
| PR1002 | Payment of registration fee |
Payment date: 20230125 End annual number: 3 Start annual number: 1 |
|
| PG1601 | Publication of registration |