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WO2005072239A3 - Methods and systems for analyzing and summarizing video - Google Patents

Methods and systems for analyzing and summarizing video Download PDF

Info

Publication number
WO2005072239A3
WO2005072239A3 PCT/US2005/001859 US2005001859W WO2005072239A3 WO 2005072239 A3 WO2005072239 A3 WO 2005072239A3 US 2005001859 W US2005001859 W US 2005001859W WO 2005072239 A3 WO2005072239 A3 WO 2005072239A3
Authority
WO
WIPO (PCT)
Prior art keywords
region
board
blocks
content
analyzing
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.)
Ceased
Application number
PCT/US2005/001859
Other languages
French (fr)
Other versions
WO2005072239A2 (en
Inventor
John R Kender
Tiecheng Liu
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.)
Columbia University in the City of New York
Original Assignee
Columbia University in the City of New York
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 Columbia University in the City of New York filed Critical Columbia University in the City of New York
Publication of WO2005072239A2 publication Critical patent/WO2005072239A2/en
Publication of WO2005072239A3 publication Critical patent/WO2005072239A3/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/73Querying
    • G06F16/738Presentation of query results
    • G06F16/739Presentation of query results in form of a video summary, e.g. the video summary being a video sequence, a composite still image or having synthesized frames
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/7847Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using low-level visual features of the video content
    • G06F16/785Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using low-level visual features of the video content using colour or luminescence
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/7847Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using low-level visual features of the video content
    • G06F16/786Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using low-level visual features of the video content using motion, e.g. object motion or camera motion
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Library & Information Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Closed-Circuit Television Systems (AREA)
  • Image Analysis (AREA)

Abstract

Methods and systems are provided for analyzing and summarizing instructional videos. According to certain embodiments, video frames are segmented into board background blocks, board content blocks, and irrelevant blocks, and are subsequently merged into a board background region, board content region, occlusion by instructor region, and irrelevant region. The number of chalk pixels in the content areas of each frame are used to define key frames. Mosaiced images are developed to compensate occlusions by an instructor. Additionally, the concept of semantic teaching units is presented, where such semantic units are detected by a model based on the recognition of actions of instructors, and on the measurement of temporal duration and spatial location of board content. Various alternate embodiments are also disclosed.
PCT/US2005/001859 2004-01-21 2005-01-21 Methods and systems for analyzing and summarizing video Ceased WO2005072239A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US53837404P 2004-01-21 2004-01-21
US60/538,374 2004-01-21

Publications (2)

Publication Number Publication Date
WO2005072239A2 WO2005072239A2 (en) 2005-08-11
WO2005072239A3 true WO2005072239A3 (en) 2006-05-11

Family

ID=34825974

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2005/001859 Ceased WO2005072239A2 (en) 2004-01-21 2005-01-21 Methods and systems for analyzing and summarizing video

Country Status (1)

Country Link
WO (1) WO2005072239A2 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8804005B2 (en) 2008-04-29 2014-08-12 Microsoft Corporation Video concept detection using multi-layer multi-instance learning
US10901612B2 (en) 2016-12-13 2021-01-26 International Business Machines Corporation Alternate video summarization

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8000533B2 (en) 2006-11-14 2011-08-16 Microsoft Corporation Space-time video montage
WO2014125502A2 (en) 2013-02-18 2014-08-21 Tata Consultancy Services Limited Segmenting objects in multimedia data
US9886793B1 (en) 2016-10-03 2018-02-06 International Business Machines Corporation Dynamic video visualization
CN111144255B (en) * 2019-12-18 2024-04-19 华中科技大学鄂州工业技术研究院 Analysis method and device for non-language behaviors of teacher
CN113190710B (en) * 2021-04-27 2023-05-02 南昌虚拟现实研究院股份有限公司 Semantic video image generation method, semantic video image playing method and related devices
CN114898274B (en) * 2022-06-06 2025-02-11 中邮信息科技(北京)有限公司 A package detection method and device
CN116758255B (en) * 2023-07-13 2025-09-26 电子科技大学 A method for automatically identifying the direction of video images and performing panoramic image stitching

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4821335A (en) * 1985-04-05 1989-04-11 Ricoh Company, Limited Electronic blackboard
US5930473A (en) * 1993-06-24 1999-07-27 Teng; Peter Video application server for mediating live video services
US6185560B1 (en) * 1998-04-15 2001-02-06 Sungard Eprocess Intelligance Inc. System for automatically organizing data in accordance with pattern hierarchies therein
US20010049087A1 (en) * 2000-01-03 2001-12-06 Hale Janet B. System and method of distance education
US20020178223A1 (en) * 2001-05-23 2002-11-28 Arthur A. Bushkin System and method for disseminating knowledge over a global computer network
US6564263B1 (en) * 1998-12-04 2003-05-13 International Business Machines Corporation Multimedia content description framework
US20030234772A1 (en) * 2002-06-19 2003-12-25 Zhengyou Zhang System and method for whiteboard and audio capture
US20040002049A1 (en) * 2002-07-01 2004-01-01 Jay Beavers Computer network-based, interactive, multimedia learning system and process

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4821335A (en) * 1985-04-05 1989-04-11 Ricoh Company, Limited Electronic blackboard
US5930473A (en) * 1993-06-24 1999-07-27 Teng; Peter Video application server for mediating live video services
US6185560B1 (en) * 1998-04-15 2001-02-06 Sungard Eprocess Intelligance Inc. System for automatically organizing data in accordance with pattern hierarchies therein
US6564263B1 (en) * 1998-12-04 2003-05-13 International Business Machines Corporation Multimedia content description framework
US20010049087A1 (en) * 2000-01-03 2001-12-06 Hale Janet B. System and method of distance education
US20020178223A1 (en) * 2001-05-23 2002-11-28 Arthur A. Bushkin System and method for disseminating knowledge over a global computer network
US20030234772A1 (en) * 2002-06-19 2003-12-25 Zhengyou Zhang System and method for whiteboard and audio capture
US20040002049A1 (en) * 2002-07-01 2004-01-01 Jay Beavers Computer network-based, interactive, multimedia learning system and process

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8804005B2 (en) 2008-04-29 2014-08-12 Microsoft Corporation Video concept detection using multi-layer multi-instance learning
US10901612B2 (en) 2016-12-13 2021-01-26 International Business Machines Corporation Alternate video summarization

Also Published As

Publication number Publication date
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