JP2023502863A - 画像の増分クラスタリング方法及び装置、電子機器、記憶媒体並びにプログラム製品 - Google Patents

画像の増分クラスタリング方法及び装置、電子機器、記憶媒体並びにプログラム製品 Download PDF

Info

Publication number
JP2023502863A
JP2023502863A JP2022524182A JP2022524182A JP2023502863A JP 2023502863 A JP2023502863 A JP 2023502863A JP 2022524182 A JP2022524182 A JP 2022524182A JP 2022524182 A JP2022524182 A JP 2022524182A JP 2023502863 A JP2023502863 A JP 2023502863A
Authority
JP
Japan
Prior art keywords
cluster
clusters
sub
image data
center
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.)
Withdrawn
Application number
JP2022524182A
Other languages
English (en)
Japanese (ja)
Inventor
▲劉▼▲凱▼▲鑑▼
余世杰
▲陳▼浩彬
▲陳▼大▲鵬▼
▲趙▼瑞
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.)
Zhejiang Sensetime Technology Development Co Ltd
Original Assignee
Zhejiang Sensetime Technology Development Co Ltd
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
Application filed by Zhejiang Sensetime Technology Development Co Ltd filed Critical Zhejiang Sensetime Technology Development Co Ltd
Publication of JP2023502863A publication Critical patent/JP2023502863A/ja
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • 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
    • G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • G06V10/763—Non-hierarchical techniques, e.g. based on statistics of modelling distributions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
    • 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
    • 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
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Probability & Statistics with Applications (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Image Analysis (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
JP2022524182A 2020-10-30 2020-12-04 画像の増分クラスタリング方法及び装置、電子機器、記憶媒体並びにプログラム製品 Withdrawn JP2023502863A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CN202011185911.8A CN112257801B (zh) 2020-10-30 2020-10-30 图像的增量聚类方法、装置、电子设备及存储介质
CN202011185911.8 2020-10-30
PCT/CN2020/134074 WO2022088390A1 (zh) 2020-10-30 2020-12-04 图像的增量聚类方法、装置、电子设备、存储介质及程序产品

Publications (1)

Publication Number Publication Date
JP2023502863A true JP2023502863A (ja) 2023-01-26

Family

ID=74268958

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2022524182A Withdrawn JP2023502863A (ja) 2020-10-30 2020-12-04 画像の増分クラスタリング方法及び装置、電子機器、記憶媒体並びにプログラム製品

Country Status (5)

Country Link
JP (1) JP2023502863A (ko)
KR (1) KR20220070482A (ko)
CN (1) CN112257801B (ko)
TW (1) TW202217597A (ko)
WO (1) WO2022088390A1 (ko)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113327195A (zh) * 2021-04-09 2021-08-31 中科创达软件股份有限公司 图像处理、图像处理模型训练、图像模式识别方法和装置
CN113743533B (zh) * 2021-09-17 2023-08-01 重庆紫光华山智安科技有限公司 一种图片聚类方法、装置及存储介质
CN117152543B (zh) * 2023-10-30 2024-06-07 山东浪潮科学研究院有限公司 一种图像分类方法、装置、设备及存储介质
CN117333926B (zh) * 2023-11-30 2024-03-15 深圳须弥云图空间科技有限公司 一种图片聚合方法、装置、电子设备及可读存储介质

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8180161B2 (en) * 2007-12-03 2012-05-15 National University Corporation Hokkaido University Image classification device and image classification program
CN102129451B (zh) * 2011-02-17 2013-05-01 上海交通大学 图像检索系统中数据聚类方法
WO2012140315A1 (en) * 2011-04-15 2012-10-18 Nokia Corporation Method, apparatus and computer program product for providing incremental clustering of faces in digital images
WO2013016837A1 (en) * 2011-07-29 2013-02-07 Hewlett-Packard Development Company, L.P. Incremental image clustering
CN103886048B (zh) * 2014-03-13 2017-04-26 浙江大学 一种基于聚类的增量数字图书推荐方法
US11176206B2 (en) * 2015-12-01 2021-11-16 International Business Machines Corporation Incremental generation of models with dynamic clustering
CN107798354B (zh) * 2017-11-16 2022-11-01 腾讯科技（深圳）有限公司 一种基于人脸图像的图片聚类方法、装置及存储设备
CN109886311B (zh) * 2019-01-25 2021-08-20 北京奇艺世纪科技有限公司 增量聚类方法、装置、电子设备和计算机可读介质
CN111062407B (zh) * 2019-10-15 2023-12-19 深圳市商汤科技有限公司 图像处理方法及装置、电子设备和存储介质
CN110781957B (zh) * 2019-10-24 2023-05-30 深圳市商汤科技有限公司 图像处理方法及装置、电子设备和存储介质
CN110866555A (zh) * 2019-11-11 2020-03-06 广州国音智能科技有限公司 增量数据的聚类方法、装置、设备及可读存储介质
CN111242040B (zh) * 2020-01-15 2022-08-02 佳都科技集团股份有限公司 一种动态人脸聚类方法、装置、设备和存储介质
CN111460153B (zh) * 2020-03-27 2023-09-22 深圳价值在线信息科技股份有限公司 热点话题提取方法、装置、终端设备及存储介质

Also Published As

Publication number Publication date
CN112257801A (zh) 2021-01-22
KR20220070482A (ko) 2022-05-31
TW202217597A (zh) 2022-05-01
CN112257801B (zh) 2022-04-29
WO2022088390A1 (zh) 2022-05-05

Similar Documents

Publication Publication Date Title
CN108132968B (zh) 网络文本与图像中关联语义基元的弱监督学习方法
JP2023502863A (ja) 画像の増分クラスタリング方法及び装置、電子機器、記憶媒体並びにプログラム製品
Wu et al. A novel clustering method for static video summarization
CN110866896B (zh) 基于k-means与水平集超像素分割的图像显著性目标检测方法
CN114283350B (zh) 视觉模型训练和视频处理方法、装置、设备及存储介质
JPWO2013129580A1 (ja) 近似最近傍探索装置、近似最近傍探索方法およびそのプログラム
WO2023108995A1 (zh) 向量相似度计算方法、装置、设备及存储介质
CN106780639B (zh) 基于显著性特征稀疏嵌入和极限学习机的哈希编码方法
CN106157330B (zh) 一种基于目标联合外观模型的视觉跟踪方法
CN108549696B (zh) 一种基于内存计算的时间序列数据相似性查询方法
Xiao et al. mCLOUD: A multiview visual feature extraction mechanism for ground-based cloud image categorization
CN110825894A (zh) 数据索引建立、数据检索方法、装置、设备和存储介质
CN113657087B (zh) 信息的匹配方法及装置
CN109086830B (zh) 基于样本惩罚的典型关联分析近重复视频检测方法
CN113591529A (zh) 动作分割模型的处理方法、装置、计算机设备和存储介质
Gao et al. Key-frame selection for video summarization: An approach of multidimensional time series analysis
CN113821657A (zh) 基于人工智能的图像处理模型训练方法及图像处理方法
CN111611228B (zh) 一种基于分布式数据库的负载均衡调整方法及装置
CN113010705A (zh) 标签预测方法、装置、设备及存储介质
CN110209895B (zh) 向量检索方法、装置和设备
CN111709473A (zh) 对象特征的聚类方法及装置
Xie et al. K-means clustering based on density for scene image classification
CN115146103A (zh) 图像检索方法、装置、计算机设备、存储介质和程序产品
Guru et al. Cluster based approaches for keyframe selection in natural flower videos
CN115495606A (zh) 一种图像聚档方法和系统

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20220425

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20220425

A761 Written withdrawal of application

Free format text: JAPANESE INTERMEDIATE CODE: A761

Effective date: 20230113