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-
Search WWH ::
Custom Search