Image Processing Reference

In-Depth Information

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:

(1)

(2)

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:

(3)

There are two directions to make a one-dimensional degeneration. We use both two direc-

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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