Content analysis of video using principal components
Sahouria, E.
Zakhor, A.
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA;
This paper appears in: Circuits and Systems for Video Technology, IEEE Transactions on
Publication Date: Dec 1999
Volume: 9,
Issue: 8
On page(s): 1290-1298
ISSN: 1051-8215
References Cited: 22
CODEN: ITCTEM
INSPEC Accession Number: 6458283
Digital Object Identifier: 10.1109/76.809163
Current Version Published: 2002-08-06
Abstract
We use principal component analysis (PCA) to reduce the
dimensionality of features of video frames for the purpose of content
description. This low-dimensional description makes practical the direct
use of all the frames of a video sequence in later analysis. The PCA
representation circumvents or eliminates several of the stumbling blocks
in current analysis methods and makes new analyses feasible. We
demonstrate this with two applications. The first accomplishes
high-level scene description without shot detection and key-frame
selection. The second uses the time sequences of motion data from every
frame to classify sports sequences
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