NDLI: Structuring home video by snippet detection and pattern parsing

Content Provider	ACM Digital Library
Author	Ngo, Chong-Wah Pan, Zailiang
Abstract	Hand-held camcorders have been popularly used in capturing and documenting daily lives. Nonetheless, searching for personal memories in home videos is still a laborious task. This paper describes novel approaches in detecting snippets and patterns in home videos for content indexing. To deal with the fact that most shots are long and with handshake artifacts, a motion analysis algorithm based on Kalman filter and finite state machine is proposed to decompose videos into tables of snippets. Each snippet is represented by a set of moving and static patterns. The moving patterns are automatically detected and tracked, while the static patterns are manually input by users. A MWBG pattern matching algorithm is then proposed to effectively detect and parse the patterns in snippets. Home videos are ultimately albumed and indexed according to the moving and static patterns to facilitate content search.
Starting Page	69
Ending Page	76
Page Count	8
File Format	PDF
ISBN	1581139403
DOI	10.1145/1026711.1026723
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2004-10-15
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Pattern parsing Snippet detection Object tracking
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Structuring home video by snippet detection and pattern parsing