SG11202008272RA - Video feature extraction method and device - Google Patents

Video feature extraction method and device

Info

Publication number
SG11202008272RA
SG11202008272RA SG11202008272RA SG11202008272RA SG11202008272RA SG 11202008272R A SG11202008272R A SG 11202008272RA SG 11202008272R A SG11202008272R A SG 11202008272RA SG 11202008272R A SG11202008272R A SG 11202008272RA SG 11202008272R A SG11202008272R A SG 11202008272RA
Authority
SG
Singapore
Prior art keywords
feature extraction
extraction method
video feature
video
feature
Prior art date
Application number
SG11202008272RA
Other languages
English (en)
Inventor
Yi He
Lei Li
Cheng Yang
Gen Li
Yitan Li
Original Assignee
Beijing Bytedance Network Technology 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 Beijing Bytedance Network Technology Co Ltd filed Critical Beijing Bytedance Network Technology Co Ltd
Publication of SG11202008272RA publication Critical patent/SG11202008272RA/en

Links

Classifications

    • 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
    • G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • 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
    • G06V10/28—Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
    • 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
    • G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection 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
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Image Analysis (AREA)
SG11202008272RA 2018-03-29 2018-12-29 Video feature extraction method and device SG11202008272RA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201810271774.6A CN110321759B (zh) 2018-03-29 2018-03-29 一种视频特征提取方法及装置
PCT/CN2018/125496 WO2019184520A1 (fr) 2018-03-29 2018-12-29 Procédé et dispositif d'extraction de caractéristiques vidéo

Publications (1)

Publication Number Publication Date
SG11202008272RA true SG11202008272RA (en) 2020-09-29

Family

ID=68062443

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202008272RA SG11202008272RA (en) 2018-03-29 2018-12-29 Video feature extraction method and device

Country Status (5)

Country Link
US (1) US11455802B2 (fr)
JP (1) JP6982194B2 (fr)
CN (1) CN110321759B (fr)
SG (1) SG11202008272RA (fr)
WO (1) WO2019184520A1 (fr)

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* Cited by examiner, † Cited by third party
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CN110807769B (zh) * 2019-10-30 2021-12-14 腾讯科技（深圳）有限公司 图像显示控制方法及装置
CN111369472B (zh) * 2020-03-12 2021-04-23 北京字节跳动网络技术有限公司 图像去雾方法、装置、电子设备及介质
US20240037385A1 (en) * 2022-07-27 2024-02-01 Verb Surgical Inc. Energy tool activation detection in surgical videos using deep learning
CN115714882B (zh) * 2022-11-24 2024-08-06 北京香哈网络股份有限公司 一种视频时长优化处理方法及系统

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US10390082B2 (en) * 2016-04-01 2019-08-20 Oath Inc. Computerized system and method for automatically detecting and rendering highlights from streaming videos
BR102016007265B1 (pt) * 2016-04-01 2022-11-16 Samsung Eletrônica da Amazônia Ltda. Método multimodal e em tempo real para filtragem de conteúdo sensível
US10803318B1 (en) * 2016-05-18 2020-10-13 Educational Testing Service Automated scoring of video clips using extracted physiological features
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CN106295605A (zh) * 2016-08-18 2017-01-04 宁波傲视智绘光电科技有限公司 红绿灯检测与识别方法
CN106649663B (zh) * 2016-12-14 2018-10-16 大连理工大学 一种基于紧凑视频表征的视频拷贝检测方法
CN107169415B (zh) * 2017-04-13 2019-10-11 西安电子科技大学 基于卷积神经网络特征编码的人体动作识别方法
CN107092960A (zh) 2017-04-17 2017-08-25 中国民航大学 一种改进的并行通道卷积神经网络训练方法
CN107247949B (zh) 2017-08-02 2020-06-19 智慧眼科技股份有限公司 基于深度学习的人脸识别方法、装置和电子设备
CN107491748B (zh) * 2017-08-09 2018-10-02 电子科技大学 一种基于视频的目标车辆提取方法
CN107564009B (zh) 2017-08-30 2021-02-05 电子科技大学 基于深度卷积神经网络的室外场景多目标分割方法
CN107844766A (zh) 2017-10-31 2018-03-27 北京小米移动软件有限公司 人脸图像模糊度的获取方法、装置和设备
US10552671B2 (en) * 2017-11-22 2020-02-04 King Fahd University Of Petroleum And Minerals Multi-kernel fuzzy local Gabor feature extraction method for automatic gait recognition
CN110324660B (zh) * 2018-03-29 2021-01-19 北京字节跳动网络技术有限公司 一种重复视频的判断方法及装置
US20200258616A1 (en) * 2019-02-07 2020-08-13 The Regents Of The University Of Michigan Automated identification and grading of intraoperative quality

Also Published As

Publication number Publication date
JP6982194B2 (ja) 2021-12-17
CN110321759A (zh) 2019-10-11
WO2019184520A1 (fr) 2019-10-03
US11455802B2 (en) 2022-09-27
JP2021504855A (ja) 2021-02-15
CN110321759B (zh) 2020-07-07
US20210089785A1 (en) 2021-03-25

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