JP2025518664A - ゲート付き過去を用いたビデオフレームのアクション検出 - Google Patents

ゲート付き過去を用いたビデオフレームのアクション検出 Download PDF

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Publication number
JP2025518664A
JP2025518664A JP2024564988A JP2024564988A JP2025518664A JP 2025518664 A JP2025518664 A JP 2025518664A JP 2024564988 A JP2024564988 A JP 2024564988A JP 2024564988 A JP2024564988 A JP 2024564988A JP 2025518664 A JP2025518664 A JP 2025518664A
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JP
Japan
Prior art keywords
past
video frames
frames
video
frame
Prior art date
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Pending
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JP2024564988A
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English (en)
Japanese (ja)
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JP2025518664A5 (https=
Inventor
ミッタル，ゴーラヴ
ユー，イー
チェン，メイ
チェン，ジュンウェン
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Microsoft Technology Licensing LLC
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Microsoft Technology Licensing LLC
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Publication date
Application filed by Microsoft Technology Licensing LLC filed Critical Microsoft Technology Licensing LLC
Priority claimed from PCT/US2023/018777 external-priority patent/WO2023235058A1/en
Publication of JP2025518664A publication Critical patent/JP2025518664A/ja
Publication of JP2025518664A5 publication Critical patent/JP2025518664A5/ja
Pending legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
    • H04N21/23418—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • 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
    • G06V20/40—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
    • G06V20/42—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items of sport video content
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V20/43—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items of news video content
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/44—Event detection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G06V40/23—Recognition of whole body movements, e.g. for sport training
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G06T2207/10021—Stereoscopic video; Stereoscopic image sequence

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Signal Processing (AREA)
  • Medical Informatics (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Computational Linguistics (AREA)
  • Human Computer Interaction (AREA)
  • Social Psychology (AREA)
  • Psychiatry (AREA)
  • Image Analysis (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
JP2024564988A 2022-06-03 2023-04-17 ゲート付き過去を用いたビデオフレームのアクション検出 Pending JP2025518664A (ja)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US202263348993P 2022-06-03 2022-06-03
US63/348,993 2022-06-03
US17/852,310 2022-06-28
US17/852,310 US11895343B2 (en) 2022-06-03 2022-06-28 Video frame action detection using gated history
PCT/US2023/018777 WO2023235058A1 (en) 2022-06-03 2023-04-17 Video frame action detection using gated history

Publications (2)

Publication Number Publication Date
JP2025518664A true JP2025518664A (ja) 2025-06-19
JP2025518664A5 JP2025518664A5 (https=) 2026-04-08

Family

ID=88976208

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2024564988A Pending JP2025518664A (ja) 2022-06-03 2023-04-17 ゲート付き過去を用いたビデオフレームのアクション検出

Country Status (4)

Country Link
US (2) US11895343B2 (https=)
EP (1) EP4533415A1 (https=)
JP (1) JP2025518664A (https=)
KR (1) KR20250018507A (https=)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP4266260B1 (en) * 2022-04-20 2026-01-07 Axis AB Encoding of training data for training of a neural network
US12299914B2 (en) * 2022-09-06 2025-05-13 Toyota Research Institute, Inc. Self-supervised training from a teacher network for cost volume based depth estimates
US12187279B2 (en) * 2022-09-29 2025-01-07 Toyota Motor Engineering & Manufacturing North America, Inc. Method and system for personalized car following with transformers and RNNs
US20250029410A1 (en) * 2023-07-19 2025-01-23 University Of Central Florida Research Foundation, Inc. Active Sparse Labeling of Video Frames
US20250077893A1 (en) * 2023-09-01 2025-03-06 Royal Bank Of Canada Meta temporal point processes
CN118657773B (zh) * 2024-08-20 2024-10-25 浙江啄云智能科技有限公司 违禁品检测及模型的训练方法、装置、设备、介质和产品
CN120953899B (zh) * 2025-10-16 2025-12-26 中国人民解放军海军工程大学 一种基于双向交叉注意力的运动目标识别方法

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20220051717A (ko) * 2020-10-19 2022-04-26 한국전자통신연구원 동영상에서 영상 패턴을 이용한 자기지도학습 기반 분할 및 추적 시스템 및 방법

Also Published As

Publication number Publication date
KR20250018507A (ko) 2025-02-06
EP4533415A1 (en) 2025-04-09
US20240244279A1 (en) 2024-07-18
US12192543B2 (en) 2025-01-07
US11895343B2 (en) 2024-02-06
US20230396817A1 (en) 2023-12-07

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