Image Processing Reference
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We can use many feature-based methods to retrieve similar part of videos. However, the ap-
plicability of the method depends on the features selected to use. The generality of the method
may be lost using specified features.
This paper uses the one-dimensional degeneration for reducing the amount of information
without lost generality. We make one-dimensional degeneration of each frame as:
Equation (1) makes one-dimensional degenerated description of X -direction from a two-di-
mensional image. Equation (2) makes one-dimensional degenerated description of Y -direction
from a two-dimensional image. In Equations (1) and (2) , I 2 d ( x , y ) stands for the intensity at the
pixel ( x , y ). ( X max , Y max ) is the coordinate of the right-upper corner.
The resulting one-dimensional degenerated description is defined as:
There are two directions to make a one-dimensional degeneration. We use both two direc-
tions that are X -axis and Y -axis using Equations (1) and (2) . In each color plane, we have a
one-dimensional-degenerated description. We connect the two degenerated descriptions onto
X -axis and the transposed projection onto Y -axis. We represent the X -direction motion in red,
and Y -direction motion in green. There is no value in blue. Then, we have a one-dimensional
degenerated color strip from the motion compensation vector. In the color strip, red repres-
ents the X -direction motion and green does the Y -direction motion. For the convenience, we
set 255 in blue when both of X - and Y -direction motions are zero.
We connect the one-dimensional color strips describing motion frames on time passing dir-
ection. Connecting one-dimensional color strips, we have a color image that has one space axis
and one time axis. In this paper, we describe this image as ST image. In the following exper-
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