✦ LIBER ✦

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

✍ Scribed by Carlos Lopez; Yi-Ping Phoebe Chen

Book ID: 104039169
Publisher: Elsevier Science
Year: 2006
Tongue: English
Weight: 206 KB
Volume: 19
Category: Article
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2006.05.006

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✦ Synopsis

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 eYcient and eVective 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 Wnd spatial relationships within the video. The compounding of low level features such as colour, texture and abstract object identiWcation lead into higher level real object identiWcation and tracking and scene detection. The main focus is on using a video style that is diVerent to the heavily used sports and news genres. Using diVerent video styles can open the door to creating methods that could encompass all video types instead of specialized methods for each speciWc style of video.

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