JP2012523049A5 - - Google Patents

Download PDF

Info

Publication number
JP2012523049A5
JP2012523049A5 JP2012503726A JP2012503726A JP2012523049A5 JP 2012523049 A5 JP2012523049 A5 JP 2012523049A5 JP 2012503726 A JP2012503726 A JP 2012503726A JP 2012503726 A JP2012503726 A JP 2012503726A JP 2012523049 A5 JP2012523049 A5 JP 2012523049A5
Authority
JP
Japan
Prior art keywords
shots
frames
similarity
clustering
shot
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
Application number
JP2012503726A
Other languages
English (en)
Japanese (ja)
Other versions
JP2012523049A (ja
JP5404908B2 (ja
Filing date
Publication date
Priority claimed from US12/416,152 external-priority patent/US8184913B2/en
Application filed filed Critical
Publication of JP2012523049A publication Critical patent/JP2012523049A/ja
Publication of JP2012523049A5 publication Critical patent/JP2012523049A5/ja
Application granted granted Critical
Publication of JP5404908B2 publication Critical patent/JP5404908B2/ja
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

JP2012503726A 2009-04-01 2010-04-01 場所によるビデオのクラスタリング Expired - Fee Related JP5404908B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US12/416,152 US8184913B2 (en) 2009-04-01 2009-04-01 Clustering videos by location
US12/416,152 2009-04-01
PCT/US2010/029709 WO2010115056A2 (en) 2009-04-01 2010-04-01 Clustering videos by location

Publications (3)

Publication Number Publication Date
JP2012523049A JP2012523049A (ja) 2012-09-27
JP2012523049A5 true JP2012523049A5 (enExample) 2013-03-28
JP5404908B2 JP5404908B2 (ja) 2014-02-05

Family

ID=42826229

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2012503726A Expired - Fee Related JP5404908B2 (ja) 2009-04-01 2010-04-01 場所によるビデオのクラスタリング

Country Status (7)

Country Link
US (1) US8184913B2 (enExample)
EP (1) EP2415256A4 (enExample)
JP (1) JP5404908B2 (enExample)
KR (1) KR101711677B1 (enExample)
CN (1) CN102388390B (enExample)
CA (1) CA2753978C (enExample)
WO (1) WO2010115056A2 (enExample)

Families Citing this family (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8447120B2 (en) * 2008-10-04 2013-05-21 Microsoft Corporation Incremental feature indexing for scalable location recognition
KR20110032610A (ko) * 2009-09-23 2011-03-30 삼성전자주식회사 장면 분할 장치 및 방법
CN103210651B (zh) * 2010-11-15 2016-11-09 华为技术有限公司 用于视频概要的方法和系统
US8494305B2 (en) * 2011-12-20 2013-07-23 Mitsubishi Electric Research Laboratories, Inc. Image filtering by sparse reconstruction on affinity net
KR101369270B1 (ko) * 2012-03-29 2014-03-10 서울대학교산학협력단 멀티 채널 분석을 이용한 비디오 스트림 분석 방법
US9336302B1 (en) 2012-07-20 2016-05-10 Zuci Realty Llc Insight and algorithmic clustering for automated synthesis
CN104462139A (zh) * 2013-09-24 2015-03-25 中国科学院上海高等研究院 用户行为的聚类方法和系统
CN104516900A (zh) * 2013-09-29 2015-04-15 国际商业机器公司 用于多个序列数据的聚类方法及其装置
CN104754248B (zh) * 2013-12-30 2018-05-01 浙江大华技术股份有限公司 一种获取目标快照的方法及装置
KR102240570B1 (ko) 2014-05-13 2021-04-15 삼성전자주식회사 신장 트리 생성 방법 및 장치,스테레오 매칭 방법 및 장치,업 샘플링 방법 및 장치,및 기준 픽셀 생성 방법 및 장치
KR101989878B1 (ko) * 2016-01-07 2019-06-17 한국전자통신연구원 방송 컨텐츠의 다중 특징을 활용한 장면 경계 검출 방법 및 상기 방법을 수행하는 사용자 단말
CN106067029B (zh) * 2016-05-24 2019-06-18 哈尔滨工程大学 面向数据空间的实体分类方法
US11205103B2 (en) 2016-12-09 2021-12-21 The Research Foundation for the State University Semisupervised autoencoder for sentiment analysis
CN108012202B (zh) * 2017-12-15 2020-02-14 浙江大华技术股份有限公司 视频浓缩方法、设备、计算机可读存储介质及计算机装置
CN109522374B (zh) * 2018-09-14 2020-04-17 北京三快在线科技有限公司 一种定位方法、装置、电子设备及可读存储介质
JP7007249B2 (ja) * 2018-09-28 2022-01-24 富士フイルム株式会社 画像処理装置,画像処理方法および画像処理プログラム
CN110166829A (zh) * 2019-05-15 2019-08-23 上海商汤智能科技有限公司 视频处理方法及装置、电子设备和存储介质
CN113673360B (zh) * 2021-07-28 2025-04-11 浙江大华技术股份有限公司 人体分布检测方法、航拍设备、电子装置和存储介质
CN115080793A (zh) * 2022-07-14 2022-09-20 湖南四方天箭信息科技有限公司 视频拆条方法、装置、计算机设备和存储介质

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5708767A (en) * 1995-02-03 1998-01-13 The Trustees Of Princeton University Method and apparatus for video browsing based on content and structure
US5956026A (en) * 1997-12-19 1999-09-21 Sharp Laboratories Of America, Inc. Method for hierarchical summarization and browsing of digital video
US6807306B1 (en) * 1999-05-28 2004-10-19 Xerox Corporation Time-constrained keyframe selection method
US6965645B2 (en) * 2001-09-25 2005-11-15 Microsoft Corporation Content-based characterization of video frame sequences
US20030097186A1 (en) 2001-11-13 2003-05-22 Koninklijke Philips Electronics N.V Method and apparatus for generating a stereotypical profile for recommending items of interest using feature-based clustering
US7164797B2 (en) 2002-04-25 2007-01-16 Microsoft Corporation Clustering
US7143352B2 (en) * 2002-11-01 2006-11-28 Mitsubishi Electric Research Laboratories, Inc Blind summarization of video content
GB0406512D0 (en) * 2004-03-23 2004-04-28 British Telecomm Method and system for semantically segmenting scenes of a video sequence
KR100664959B1 (ko) 2005-07-07 2007-01-04 삼성전자주식회사 이미지 클러스터링 장치 및 방법
CN101315631B (zh) * 2008-06-25 2010-06-02 中国人民解放军国防科学技术大学 一种新闻视频故事单元关联方法

Similar Documents

Publication Publication Date Title
JP2012523049A5 (enExample)
Shi et al. Weakly-supervised action localization by generative attention modeling
Zhang et al. Customizable architecture search for semantic segmentation
Ding et al. Violence detection in video by using 3D convolutional neural networks
CN107451553B (zh) 一种基于超图转变的视频中暴力事件检测方法
CN106407484B (zh) 一种基于弹幕语义关联的视频标签提取方法
CN114821237B (zh) 一种基于多级对比学习的无监督船舶再识别方法及系统
US20120300980A1 (en) Learning device, learning method, and program
WO2017069982A1 (en) Video highlight detection with pairwise deep ranking
CN113792606A (zh) 基于多目标追踪的低成本自监督行人重识别模型构建方法
CN110363131A (zh) 基于人体骨架的异常行为检测方法、系统及介质
CN109977895A (zh) 一种基于多特征图融合的野生动物视频目标检测方法
CN111027377B (zh) 一种双流神经网络时序动作定位方法
CN103226835A (zh) 基于在线初始化梯度增强回归树的目标跟踪方法及系统
CN105469397B (zh) 一种基于系数矩阵分析的目标遮挡检测方法
CN110688940A (zh) 一种快速的基于人脸检测的人脸追踪方法
CN111783655A (zh) 一种图像处理方法、装置、电子设备和存储介质
CN103793477A (zh) 用于生成视频摘要的系统及方法
CN115240106A (zh) 任务自适应的小样本行为识别方法及系统
Wang et al. Effective multiple pedestrian tracking system in video surveillance with monocular stationary camera
Dai et al. Fudan at MediaEval 2013: Violent Scenes Detection Using Motion Features and Part-Level Attributes.
CN103500456B (zh) 一种基于动态贝叶斯模型网络的对象跟踪方法和设备
WO2016086731A1 (zh) 多级并行关键帧云提取方法及系统
CN117911920A (zh) 一种基于模态交互网络的多模态单目标跟踪方法
CN110795599B (zh) 基于多尺度图的视频突发事件监测方法及系统