Using object and trajectory analysis to facilitate indexing and retrieval of video

Lopez, Carlos and Chen, Yi-Ping Phoebe 2006, Using object and trajectory analysis to facilitate indexing and retrieval of video, Knowledge-based systems, vol. 19, no. 8, pp. 639-646, doi: 10.1016/j.knosys.2006.05.006.

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Title Using object and trajectory analysis to facilitate indexing and retrieval of video
Author(s) Lopez, Carlos
Chen, Yi-Ping Phoebe
Journal name Knowledge-based systems
Volume number 19
Issue number 8
Start page 639
End page 646
Publisher Elsevier BV
Place of publication Amsterdam, Netherlands
Publication date 2006-12
ISSN 0950-7051
Keyword(s) video analysis
Summary This paper aims to show that by using low level feature extraction, motion and object identifying and tracking methods, features can be extracted and indexed for efficient and effective retrieval for video; such as an awards ceremony video. Video scene/shot analysis and key frame extraction are used as a foundation to identify objects in video and be able to find spatial relationships within the video. The compounding of low level features such as colour, texture and abstract object identification lead into higher level real object identification and tracking and scene detection. The main focus is on using a video style that is different to the heavily used sports and news genres. Using different video styles can open the door to creating methods that could encompass all video types instead of specialized methods for each specific style of video.
Language eng
DOI 10.1016/j.knosys.2006.05.006
Field of Research 080610 Information Systems Organisation
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2006, Elsevier B.V.
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