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y
ze
an
d
d
et
ect
s
h
o
t
s
o
r
s
cen
e
s
.
S
o
m
e
o
f
r
es
ear
ch
er
p
r
o
p
o
s
ed
a
m
e
t
h
o
d
f
o
r
u
n
d
er
s
t
a
n
d
i
n
g
s
cen
e
u
s
i
n
g
t
h
r
ee s
t
ep
s
:
s
e
g
m
e
n
ta
tio
n
,
o
b
j
e
c
t d
e
te
c
tio
n
a
n
d
m
o
tio
n
f
e
a
tu
r
e
s
o
r
c
o
m
b
i
n
in
g
c
la
s
s
i
f
ic
a
t
io
n
,
a
n
n
o
ta
tio
n
a
n
d
s
e
g
m
e
n
ta
tio
n
[
8
]
.
O
n
e o
f
t
h
e p
u
r
p
o
s
es
o
f
v
i
d
eo
an
al
y
s
i
s
i
s
t
o
d
et
ect
a s
h
o
t
o
r
s
cen
e.
S
cen
e i
s
a co
l
l
ect
i
o
n
o
f
s
h
o
t
s
t
h
at
h
a
v
e
r
el
at
i
o
n
s
h
i
p
s
an
d
cr
eat
e a s
t
o
r
y
b
o
a
r
d
f
r
o
m
t
h
e
v
i
d
eo
[
9
]
.
S
cen
e can
b
e d
et
ect
ed
u
s
i
n
g
s
ev
er
al
p
r
o
ces
s
es
:
u
s
i
n
g
c
r
os
s
e
n
t
r
op
y
f
or
t
w
o
h
i
s
t
og
r
a
m
s
[
10]
,
u
s
i
ng
t
h
e
m
a
x
i
m
um
e
n
t
r
op
y
m
e
t
h
od (
M
E
M
)
ba
s
e
d on
l
i
n
e
a
r
pr
e
di
c
t
i
on
[
11]
,
u
s
i
ng
t
h
e
hi
dde
n
m
a
r
k
o
v
m
ode
l
[
12]
,
u
s
i
ng
m
a
r
k
ov
c
h
a
i
n
m
on
t
e
c
a
r
l
o [
13
]
,
s
i
m
i
l
a
r
i
t
y
ba
s
e
d on
c
ol
or
a
nd
m
o
t
i
o
n i
n
f
o
r
m
a
t
i
o
n u
s
i
n
g s
ho
t
s
i
m
i
l
a
r
i
t
y gr
a
p
h (
S
S
G
)
[
1
]
,
us
i
ng t
he
no
r
m
a
l
i
z
e
d
gr
a
p
h c
ut
a
p
p
r
o
a
c
h
(
N
C
u
t
)
[
14]
,
e
dg
e
de
t
e
c
t
i
on
ba
s
e
d on
m
a
t
h
e
m
a
t
i
c
a
l
m
or
ph
ol
ogy
[
15]
,
u
s
i
ng
s
e
c
on
d
ge
n
e
r
a
t
i
on
c
u
r
v
e
l
e
t
t
r
a
n
s
f
or
m
s
[
16]
.
S
h
ot
i
s
t
h
e
b
as
i
c
el
e
m
e
n
t
t
h
at
f
o
r
m
s
a
v
i
d
eo
.
S
h
o
t
i
s
a
s
eq
u
en
t
i
al
f
r
a
m
e,
r
eco
r
d
ed
f
r
o
m
a
ca
m
er
a [
2
]
,
[
1
1
]
,
[
1
7
]
.
S
h
o
t
can
b
e d
et
ect
ed
u
s
i
n
g
t
r
an
s
i
t
i
o
n
s
b
et
w
ee
n
s
u
cce
s
s
i
v
e
f
r
a
m
e
s
i
n
a v
i
d
eo
.
S
h
o
t
de
t
e
c
t
i
on
t
e
c
hn
i
qu
e
s
h
a
v
e
be
e
n
don
e
ba
s
e
d on
t
h
e
c
ol
or
h
i
s
t
og
r
a
m
[
18]
,
b
as
ed
o
n
p
i
x
el
d
i
f
f
er
en
ces
[
1
9
]
,
an
d
m
o
t
i
on
i
nf
or
m
a
t
i
on
[
20]
.
K
e
y
f
r
a
m
es
ar
e s
u
b
-
s
ect
i
o
n
s
o
f
a v
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d
eo
t
h
at
can
r
ep
r
es
en
t
t
h
e co
n
t
en
t
o
f
t
h
e v
i
d
eo
an
d
can
p
r
o
v
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d
e
i
nf
or
m
a
t
i
on a
bou
t
t
h
e
v
i
de
o
u
s
i
ng
f
e
w
e
r
f
r
a
m
e
s
.
T
h
e
m
a
i
n
pu
r
pos
e
of
t
h
e
k
e
y
f
r
a
m
e
i
s
t
o
m
a
k
e
t
he
vi
d
e
o
s
ho
r
t
e
r
t
ha
n t
he
o
r
i
gi
na
l
vi
d
e
o
w
i
t
ho
ut
r
e
d
uc
i
ng t
he
c
o
r
e
i
nf
o
r
m
a
t
i
o
n,
b
y
m
i
n
i
m
i
z
i
n
g t
h
e
nu
m
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e
r
o
f
f
r
a
m
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d
el
i
m
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n
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t
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n
g
t
h
e
f
r
a
m
e
r
ed
u
n
d
an
c
y
[
2
1
]
.
T
h
e
s
el
ect
i
o
n
o
f
k
e
y
f
r
a
m
es
ca
n
b
e
d
o
n
e
w
i
t
h
t
h
r
ee
m
et
h
o
d
s
:
c
l
us
t
e
r
b
a
s
e
d
(
gr
o
up
i
ng s
i
m
i
l
a
r
f
r
a
m
e
s
i
nt
o
o
ne
gr
o
up
,
t
he
n
t
a
ki
ng
m
u
l
t
i
p
l
e
f
r
a
m
e
s
f
r
o
m
e
a
c
h gr
o
up
)
,
e
ne
r
g
y
m
i
ni
m
a
l
i
z
a
t
i
o
n b
a
s
e
d
(
m
i
ni
m
i
z
e
d
us
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ng
l
o
o
p
i
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e
c
h
ni
q
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s
)
,
a
nd
s
e
q
ue
nt
i
a
l
b
a
s
e
d
(
c
r
e
a
t
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ng
ne
w
ke
y
f
r
a
m
e
s
i
n
t
h
e
s
cen
e
d
i
f
f
er
e
n
t
)
[
2
2
]
.
T
h
e
C
l
u
s
t
er
-
b
as
ed
f
r
a
m
e
s
el
ect
i
o
n
m
et
h
o
d
h
as
b
een
d
o
n
e
b
y
s
el
ect
i
n
g
f
r
a
m
es
t
o
r
ep
r
es
en
t
each
cl
u
s
t
er
[
2
3
]
,
[
2
4
]
.
T
h
e s
el
ect
ed
f
r
a
m
e i
s
cal
l
ed
a k
e
y
f
r
a
m
e.
2.
R
ES
EA
R
C
H
M
ETH
O
D
T
h
e k
e
y
f
r
a
m
e i
s
t
h
e
s
el
ect
ed
f
r
a
m
e
o
f
a
v
i
d
eo
t
h
at
ca
n
r
ep
r
es
en
t
i
m
p
o
r
t
an
t
v
i
d
eo
co
n
t
e
n
t
.
U
s
er
s
ca
n
w
a
tc
h
v
id
e
o
c
o
n
te
n
t b
y
d
is
p
la
y
i
n
g
h
i
g
h
l
i
g
h
t
s
f
r
o
m
k
e
y
f
r
a
m
e.
K
e
y
f
r
a
m
e ex
t
r
act
i
o
n
t
ech
n
i
q
u
es
ca
n
b
e
cl
as
s
i
f
i
ed
i
n
t
h
r
ee
w
a
y
s
:
s
e
q
u
en
t
i
al
co
m
p
ar
i
s
o
n
o
f
co
l
o
r
,
co
l
o
r
cl
u
s
t
er
i
n
g
,
a
n
d
s
u
m
o
f
f
r
a
m
e
-
to
-
f
r
am
e
d
i
f
f
er
e
n
ces
[
2
5
]
.
I
n
t
h
i
s
r
es
ear
ch
,
k
e
y
f
r
a
m
e
g
en
er
at
i
o
n
w
i
l
l
b
e ap
p
l
i
ed
u
s
i
n
g
f
r
a
m
e s
i
m
i
l
ar
i
t
y
p
r
o
ces
s
b
as
ed
on
poi
n
t
ope
r
a
t
i
on
.
P
oi
n
t
ope
r
a
t
i
on
i
s
c
l
os
e
l
y
r
e
l
a
t
e
d t
o v
a
r
i
ou
s
i
m
a
g
e
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oc
e
s
s
i
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t
e
c
hn
i
q
u
e
s
,
i
n
c
l
u
di
ng
f
r
a
m
e
d
i
f
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n
ces
,
g
a
m
m
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r
r
ect
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o
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d
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s
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g
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s
e r
at
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o
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A
f
r
a
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n
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m
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m
er
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e
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ca
n
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e p
r
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i
n
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t
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n
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er
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ach
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r
a
m
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h
as
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f
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t
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f
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o
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f
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x
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s
i
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m
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^
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,
(
)
,
(
1
M
x
N
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y
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M
xN
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ngt
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f
t
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f
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m
e
(
r
o
w
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he
f
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m
e
(
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m
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,
)
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y
x
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it
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l f
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t
s
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et
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g
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o
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s
i
m
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l
ar
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−
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−
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PSNR
m
m
m
m
C
i
C
i
1
10
1
255
log
2
10
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w
h
er
e:
m
=
f
r
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m
e n
u
m
b
er
i=
p
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l
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c
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r
(
R
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,B
)
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SE
=
th
e
m
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s
q
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r
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e
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th
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k
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i
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ur
e
1
:
s
t
r
e
a
m
i
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p
r
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c
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s
s
i
n
g,
a
nd
ge
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r
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T
he
s
t
r
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a
m
i
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s
t
ag
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s
t
h
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t
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o
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t
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m
i
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g
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et
w
een
s
t
r
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a
m
i
ng
vi
d
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o
a
nd
s
t
r
e
a
m
i
n
g a
ud
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o
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he
n,
t
he
vi
d
e
o
s
t
r
ea
m
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es
u
l
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s
f
o
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w
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i
gu
r
e
1.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN
:
20
88
-
8708
In
t
J
E
l
e
c
&
C
o
m
p
E
n
g
,
V
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8
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.
5
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r
20
18
:
283
9
-
2846
2842
F
i
gu
r
e
1.
F
r
a
m
e
w
o
r
k
o
f
r
es
ea
r
ch
m
et
h
o
d
A
co
m
p
ar
i
s
o
n
b
et
w
ee
n
t
w
o
s
u
cces
s
i
v
e
f
r
a
m
es
w
i
l
l
d
et
er
m
i
n
e t
h
e s
i
m
i
l
ar
i
t
y
v
al
u
e o
f
t
h
e
t
w
o
f
r
a
m
e
s
.
T
h
e
s
im
ila
r
it
y
s
c
o
r
e
s
f
o
r
a
ll f
r
a
m
e
s
w
ill b
e
c
a
lc
u
la
te
d
a
n
d
u
s
e
d
to
d
e
te
r
m
i
n
e
th
e
p
o
s
itio
n
o
f
th
e
s
e
g
m
e
n
ts
o
f
s
i
m
i
l
ar
f
r
a
m
e
s
.
T
h
e co
m
b
i
n
at
i
o
n
o
f
t
h
r
ee
m
et
h
o
d
s
(
f
r
a
m
e
d
i
f
f
e
r
e
nc
e
,
ga
m
m
a
c
o
r
r
e
c
t
i
o
n,
a
nd
p
s
nr
)
w
i
l
l
gi
ve
th
e
c
o
n
c
l
u
s
io
n
t
h
a
t
t
w
o
f
r
a
m
e
s
h
a
v
e
s
i
m
ila
r
s
ta
te
s
,
d
is
s
i
m
il
a
r
,
h
e
s
ita
t
i
o
ns
a
nd
d
i
s
s
o
l
ve
,
a
s
s
ho
w
n
i
n
T
ab
l
e 1
.
T
h
e f
r
a
m
e
s
l
o
cat
ed
o
n
each
s
e
g
m
e
n
t
ar
e cl
as
s
i
f
i
ed
i
n
t
o
t
w
o
t
y
p
e
s
:
ca
n
d
i
d
at
es
a
n
d
r
ed
u
n
d
a
n
c
y
.
T
h
e can
d
i
d
at
e
i
s
t
h
e
s
el
ect
ed
f
r
a
m
e as
t
h
e
k
e
y
f
r
a
m
e can
d
i
d
at
e.
R
ed
u
n
d
a
n
c
y
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s
a
f
r
a
m
e t
h
at
i
s
cl
as
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ed
as
a f
r
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m
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s
i
m
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l
ar
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d
s
el
ect
ed
t
o
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e r
em
o
v
ed
.
T
ab
l
e 1
.
T
h
e
C
o
m
b
i
na
t
i
o
n
Re
su
l
t
o
f
P
o
in
t O
p
e
r
a
tio
n
Fr
a
m
e
FD
GC
PSN
R
C
o
m
b
i
n
e
C
on
c
l
u
s
i
o
n
K
e
y
fra
m
e
Ke
y
fra
m
e
S
e
le
c
ti
o
n
1
-
2
S
S
S
S
S
eg
m
en
F1
-
F5
C
a
n
di
d
a
t
e
K
e
y
Fr
a
m
e
K
e
y
fra
m
e
S
e
le
c
ti
o
n
2
-
3
S
S
S
S
3
-
4
S
S
S
S
4
-
5
S
S
S
S
5
-
6
D
D
D
D
S
eg
m
en
F6
-
F9
C
a
n
di
d
a
t
e
K
e
y
Fr
a
m
e
K
e
y
fra
m
e
S
e
le
c
ti
o
n
6
-
7
S
S
S
S
7
-
8
S
S
S
S
8
-
9
S
S
S
S
9
-
1
0
S
S
D
SS
S
im
il
a
r
H
e
s
ita
t
io
n
S
eg
m
en
F1
0
-
F1
2
K
e
y
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m
e
S
e
le
c
ti
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n
1
0
-
1
1
S
D
S
SS
1
1
-
1
2
D
S
S
SS
1
2
-
1
3
S
D
D
DD
D
is
s
im
il
a
r
H
e
s
ita
t
io
n
D
el
et
e
D
el
et
e
1
3
-
1
4
D
S
D
DD
1
4
-
1
5
D
D
S
DD
1
5
-
1
6
D
D
D
D
D
i
s
s
ol
ve
R
e
m
ov
e
R
e
m
ov
e
1
6
-
1
7
D
D
D
D
1
7
-
1
8
D
D
D
D
FD
=
f
r
a
m
e d
i
f
f
er
en
c
e,
G
C
=
g
am
m
a co
r
r
e
ct
i
o
n
,
P
S
N
R
=
p
e
a
k
s
ig
n
a
l
to
n
o
is
e
r
a
tio
S
=
s
im
il
a
r
,
D
=
d
i
s
s
i
m
i
l
a
r
,
S
S
=
s
im
il
a
r
h
e
s
it
a
t
io
n
,
D
D
=
d
i
s
s
i
m
i
l
a
r
h
e
s
it
a
t
io
n
3.
R
ES
U
LT
S
A
ND
D
I
SC
U
SS
I
O
N
I
n
t
h
i
s
cas
e,
t
h
e e
x
p
er
i
m
e
n
t
al
v
i
d
eo
i
s
a
v
i
d
eo
t
h
at
h
as
a
s
i
z
e o
f
1
0
2
,
7
1
5
K
B
an
d
t
h
e t
i
m
e
l
en
g
t
h
o
f
00:
08:
3
8.
V
i
de
o i
s
di
v
i
de
d i
n
t
o 622
0 f
r
a
m
e
s
a
n
d e
a
c
h
f
r
a
m
e
h
a
s
a
s
i
z
e
o
f
2292 x
1667
pi
x
e
l
s
.
A
l
l
f
r
a
m
e
s
us
e
Evaluation Warning : The document was created with Spire.PDF for Python.
In
t
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&
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o
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p
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I
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(
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2843
t
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r
ee R
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co
l
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ar
a
m
et
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s
(
R
ed
,
G
r
een
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d
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e)
.
E
ach
f
r
a
m
e (
F
m
)
i
s
co
m
p
ar
ed
w
i
t
h
t
h
e
p
r
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i
o
u
s
f
r
a
m
e
(F
m
-
1
)
a
nd
t
he
ne
xt
f
r
a
m
e
(
F
m+
1
)
,
ex
cep
t
t
h
e
i
n
i
t
i
al
f
r
a
m
e (
F
1
)
an
d
t
h
e
l
as
t
f
r
a
m
e (
F
n
)
.
T
h
e
f
r
a
m
e
co
m
p
ar
i
s
o
n
c
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r
e
s
pon
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t
o t
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e
c
ol
or
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ar
a
m
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e co
m
p
a
r
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s
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et
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I
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8708
In
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h
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ee Met
h
o
d
s
P
o
i
n
t
O
p
er
at
i
o
n
No
FD
GC
PSN
R
C
o
m
b
i
n
a
t
io
n
r
e
s
u
l
t (
F
D
/G
C
/
P
S
N
R
)
n
u
m
b
e
r
o
f
fra
m
e
s
fra
m
e
n
u
m
b
e
r
s
n
u
m
b
e
r
o
f
fra
m
e
s
fra
m
e
n
u
m
b
e
r
s
n
u
m
b
e
r
o
f
fra
m
e
s
fra
m
e
n
u
m
b
e
r
s
s
c
en
e
n
u
m
b
e
r
(
n
u
m
b
e
r
o
f
fra
m
e
)
fra
m
e
n
u
m
b
e
r
s
d
el
et
e (
D
)
r
em
o
v
e (
R
)
1
1
3
2
#
0
0
1
–
#
1
3
2
1
3
2
#
0
0
1
–
#
1
3
2
1
3
2
#
0
0
1
–
#
1
3
2
1
(
1
32
)
#
0
0
1
–
#
1
3
2
-
2
2
1
#
1
3
3
–
#
1
5
3
1
7
#
1
3
7
–
#
1
5
3
8
#
1
3
3
–
#
1
4
0
2
(
1
7
)
#
1
3
7
–
#
1
5
3
#
1
3
3
–
#
1
3
6
(
D
)
3
1
3
#
1
4
1
–
#
1
5
3
4
1
6
#
1
5
7
–
#
1
7
2
1
9
#
1
5
4
–
#
1
7
2
1
6
#
1
5
7
–
#
1
7
2
3
(
1
6
)
#
1
5
7
–
#
1
7
2
#
1
5
4
–
#
1
5
6
(
D
)
5
3
3
#
1
7
3
–
#
2
0
5
3
3
#
1
7
3
–
#
2
0
5
3
3
#
1
7
3
–
#
2
0
5
4
(
3
3
)
#
1
7
3
–
#
2
0
5
-
6
3
3
#
2
0
6
–
#
2
3
8
3
3
#
2
0
6
–
#
2
3
8
3
3
#
2
0
6
–
#
2
3
8
5
(
3
3
)
#
2
0
6
–
#
2
3
8
-
7
3
2
#
2
3
9
–
#
2
7
0
3
2
#
2
3
9
–
#
2
7
0
3
2
#
2
3
9
–
#
2
7
0
6
(
3
2
)
#
2
3
9
–
#
2
7
0
-
8
3
7
#
2
7
1
–
#
3
0
7
9
#
2
7
6
–
#
2
8
4
1
4
#
2
7
1
–
#
2
8
4
7
(
3
2
)
#
2
7
6
–
#
3
0
7
#
2
7
1
–
#
2
7
5
(
D
)
9
2
3
#
2
8
5
–
#
3
0
7
1
5
#
2
8
5
–
#
2
9
9
1
0
8
#
3
0
0
–
#
3
0
7
1
1
3
3
#
3
0
8
–
#
3
4
0
2
6
#
3
0
8
–
#
3
3
3
1
2
#
3
1
1
–
#
3
2
2
8
(
1
2
)
#
3
1
1
–
#
3
2
2
#
3
0
8
–
#
3
1
0
(
D
)
#
3
2
3
–
#
3
4
0
(
D)
1
2
3
4
#
3
4
1
–
#
3
7
4
3
4
#
3
4
1
–
#
3
7
4
3
4
#
3
4
1
–
#
3
7
4
9
(
3
4
)
#
3
4
1
–
#
3
7
4
-
1
3
2
2
#
3
7
5
–
#
3
9
6
3
0
#
3
7
5
–
#
4
0
4
6
#
3
7
5
–
#
3
8
0
1
0
(
30
)
#
3
7
5
–
#
4
0
4
-
1
4
8
#
3
9
7
–
#
4
0
4
1
2
#
3
8
1
–
#
3
9
2
1
5
1
2
#
3
9
3
–
#
4
0
4
1
6
3
1
#
4
0
5
–
#
4
3
5
3
1
#
4
0
5
–
#
4
3
5
6
#
4
0
5
–
#
4
1
0
1
1
(
28
)
#
4
0
5
–
#
4
3
2
#
4
3
3
–
#
4
3
5
(
D)
1
7
2
2
#
4
1
1
–
#
4
3
2
1
8
#
4
3
6
–
#
4
4
1
(
R
)
1
9
5
#
4
4
2
–
#
4
4
6
2
4
#
4
4
6
–
#
4
6
9
2
1
#
4
4
9
–
#
4
6
9
1
2
(
21
)
#
4
4
9
–
#
4
6
9
#
4
4
2
–
#
4
4
8
(
D
)
2
0
2
3
#
4
4
7
–
#
4
6
9
2
1
5
#
4
7
0
–
#
4
7
4
8
#
4
7
0
–
#
4
7
7
2
5
#
4
7
0
–
#
4
9
4
1
3
(
25
)
#
4
7
0
–
#
4
9
4
-
2
2
2
0
#
4
7
5
–
#
4
9
4
1
7
#
4
7
8
–
#
4
9
4
2
3
#
4
9
5
–
#
5
0
6
(
R
)
2
4
5
#
5
0
7
–
#
5
1
1
5
#
5
0
7
–
#
5
1
1
#
5
0
7
–
#
5
1
1
(
D
)
2
5
3
0
#
5
1
2
–
#
5
4
1
3
0
#
5
1
2
–
#
5
4
1
1
0
#
5
1
2
–
#
5
2
1
1
4
(
30
)
#
5
1
2
–
#
5
4
1
-
2
6
2
0
#
5
2
2
–
#
5
4
1
2
7
3
3
#
5
4
2
–
#
5
7
4
3
3
#
5
4
2
–
#
5
7
4
3
1
#
5
4
2
–
#
5
7
2
1
5
(
31
)
#
5
4
2
–
#
5
7
2
#
5
7
3
–
#
5
7
4
(
D
)
2
8
#
5
7
5
–
#
5
7
7
(
R
)
2
9
2
3
#
5
7
8
–
#
6
0
0
2
3
#
5
7
8
–
#
6
0
0
2
1
#
5
8
0
–
#
6
0
0
1
6
(
21
)
#
5
8
0
–
#
6
0
0
#
5
7
8
–
#
5
7
9
(
D
)
C
al
cu
l
at
i
o
n
o
f
each
f
r
a
m
e a
n
d
co
m
p
ar
i
s
o
n
o
f
t
w
o
s
u
cces
s
i
v
e f
r
a
m
es
h
as
b
een
d
o
n
e t
h
e
n
d
et
er
m
i
n
ed
t
h
e s
ce
n
e an
d
t
h
e n
u
m
b
er
o
f
f
r
a
m
es
i
n
each
s
cen
e.
T
o
d
ef
i
n
e
t
h
e s
ce
n
e i
n
t
h
i
s
r
es
ear
ch
u
s
i
n
g
t
h
r
ee p
ar
a
m
et
er
s
(
t
h
r
e
e
poi
n
t
ope
r
a
t
i
o
n)
t
he
n
a
p
p
l
y
t
he
r
ul
e
s
i
n
T
ab
l
e
5
.
T
h
e
f
i
n
al
d
eci
s
i
o
n
o
f
t
h
e
s
ce
n
e
an
d
t
h
e
n
u
m
b
er
o
f
f
r
a
m
e
s
pe
r
s
c
e
n
e
f
or
a
c
o
m
bi
n
a
t
i
on
of
t
h
e
t
h
r
e
e
poi
n
t
ope
r
a
t
i
on
s
c
a
n
be
s
h
o
w
n
a
s
T
ab
l
e
6
.
T
h
e
f
i
r
s
t
600
f
ra
m
es
o
f
t
h
e
vi
de
o pr
odu
c
e
1
6
s
cen
es
w
i
t
h
n
u
m
b
er
o
f
f
r
a
m
es
r
e
s
p
ect
i
v
el
y
(
527 f
r
a
m
e
s
)
:
132,
1
7,
16
,
33
,
33,
3
2,
3
2,
1
2,
3
4,
3
0,
2
8,
2
1,
25,
3
0,
3
1,
a
n
d 2
1.
R
e
m
ove
d
f
r
a
m
e
s
ar
e (
21 f
r
am
e
s
)
:
#436
-
#441 (
6
f
r
a
m
e
s
)
,
#495
-
#5
06 (
1
2 f
r
a
m
e
s
)
,
a
n
d #
575
-
#57
7 (
3 f
r
a
m
e
s
)
.
De
l
et
ed
f
r
a
m
e
s
ar
e (
52 f
r
am
e
s
)
:
#133
-
#136 (
4 f
r
a
m
e
s
)
,
#154
-
#1
56 (
3
f
r
a
m
e
s
)
,
#271
-
#275 (
5
f
r
a
m
e
s
)
,
#308
-
#31
0
(
3
f
r
a
m
e
s
)
,
#323
-
#34
0
(
18
f
r
a
m
e
s
)
,
#433
-
#43
5 (
3
f
r
a
m
e
s
)
,
#442
-
#44
8 (
7
f
r
a
m
e
s
)
,
#50
7
-
#511
(
5 f
r
a
m
e
s
)
,
#573
-
#574
(
2 f
r
a
m
e
s
)
,
a
n
d #578
-
#
5
7
9
(2
f
ra
m
e
s
).
4.
C
O
N
C
LU
S
IO
N
T
h
e g
en
er
at
i
o
n
o
f
k
e
y
f
r
a
m
e
s
w
i
t
h
s
i
m
i
l
ar
p
r
o
ces
s
es
i
s
b
as
ed
o
n
t
h
r
ee p
o
i
n
t
o
p
er
at
i
n
g
m
et
h
o
d
s
:
f
r
a
m
e d
i
f
f
er
e
n
ce,
g
a
m
m
a co
r
r
ect
i
o
n
,
an
d
p
eak
s
i
g
n
al
t
o
n
o
i
s
e r
at
i
o
.
T
h
e c
o
m
b
i
na
t
i
o
n o
f
t
he
t
hr
e
e
m
e
t
ho
d
s
ma
k
e
s
t
h
e s
el
ect
ed
k
e
y
f
r
am
e
m
o
r
e ap
p
r
o
p
r
i
at
e
.
T
h
e
r
e
m
o
v
ed
f
r
a
m
e i
s
m
o
r
e p
r
eci
s
el
y
b
eca
u
s
e t
h
e
r
ed
u
n
d
an
c
y
f
r
a
m
e
s
el
ect
i
o
n
p
r
o
ces
s
u
s
es
t
h
r
ee
p
ar
a
m
et
er
s
.
I
f
a
l
l
t
h
r
e
e
pr
oc
e
s
s
m
e
t
h
ods
of
poi
n
t
ope
r
a
t
i
on
p
r
o
d
u
ce s
i
m
i
l
ar
co
n
d
i
t
i
o
n
s
,
t
h
en
t
h
e t
w
o
f
r
a
m
e
s
ar
e cal
l
ed
f
r
a
m
e
s
i
m
i
l
ar
an
d
h
a
v
e t
h
e s
a
m
e s
ce
n
e p
o
s
itio
n
.
I
f
t
h
r
ee p
r
o
ces
s
es
s
h
o
w
d
i
s
s
i
m
i
l
ar
co
n
d
i
t
i
o
n
s
,
t
h
e
n
t
h
e
t
w
o
f
r
a
m
e
s
i
s
cal
l
ed
d
i
f
f
er
e
n
t
p
i
x
el
v
al
u
es
a
n
d
t
w
o
f
r
a
m
e
s
a
r
e
in
d
if
f
e
r
e
n
t s
c
e
n
e
p
o
s
itio
n
s
.
I
n
t
h
e
cas
e o
f
co
n
d
i
t
i
o
n
s
t
h
at
m
ak
e
d
i
s
s
i
m
i
l
ar
o
ccu
r
s
eq
u
en
t
i
al
l
y
,
t
h
e
f
r
a
m
e
s
ar
e as
s
u
m
ed
t
o
b
e i
n
t
he
d
i
s
o
l
v
e ar
ea,
s
o
t
h
e au
t
o
m
at
i
c
f
r
a
m
e r
e
m
o
v
al
i
s
d
o
n
e an
d
t
h
e
f
r
a
m
e i
s
n
o
t
u
s
ed
as
a can
d
i
d
at
e k
e
y
f
r
a
m
e.
T
hi
s
r
es
ear
ch
u
s
es
a v
i
d
eo
t
h
a
t
i
s
d
i
v
i
d
ed
i
n
t
o
6
2
2
0
f
r
am
e
s
an
d
c
ap
t
u
r
ed
t
h
e f
i
r
s
t
6
0
0
f
r
a
m
es
a
s
r
es
ear
ch
m
at
er
i
al
.
T
he
c
o
m
b
i
na
t
i
o
n o
f
t
hr
e
e
p
o
i
nt
ope
r
a
t
i
on
m
e
t
h
ods
(
f
r
a
m
e
di
f
f
e
r
e
n
c
e
,
g
a
m
m
a
c
or
r
e
c
t
i
on a
n
d pns
r
)
pr
odu
c
e
s
1
6
s
cen
es
an
d
eac
h
s
ce
n
e h
a
s
a n
u
m
b
er
o
f
d
i
f
f
er
e
n
t
f
r
a
m
es
(
1
6
s
cen
es
=
527 f
r
a
m
e
s
)
.
F
r
a
m
es
cat
e
g
o
r
i
zed
i
n
t
he
r
e
m
o
ve
/d
e
le
te
c
la
s
s
i
f
i
cat
i
o
n
ar
e r
ed
u
n
d
an
t
an
d
/
or
du
bi
ou
s
f
r
a
m
e
s
t
o s
e
r
v
e
as
a s
ce
n
e,
s
o
t
h
at
t
h
e
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I
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20
88
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8708
In
t
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2846
2846
R
EF
ER
EN
C
ES
[
1]
Z
.
R
as
h
eed
an
d
M
.
S
h
ah
,
“
D
et
ect
i
o
n
an
d
r
e
p
r
es
en
t
at
i
o
n
o
f
s
cen
es
i
n
v
i
d
eo
s
,
”
I
E
E
E
T
r
ans
ac
t
i
o
ns
on M
ul
t
i
m
e
di
a
,
vo
l
/
i
ssu
e
:
11
(
6
)
,
p
p.
10
97
-
11
05,
2
005
.
[
2]
Y
. Z
h
u
a
n
d
Z
.
M
i
n
g
, “
SV
M
-
b
a
s
ed
v
i
d
eo
s
cen
e c
la
s
s
if
ic
a
tio
n
a
n
d
s
e
g
m
e
n
ta
tio
n
,
”
I
nt
e
r
n
at
i
o
na
l
C
onf
e
r
e
nc
e
o
n
M
ul
t
i
m
e
di
a
an
d U
bi
q
ui
t
o
us
E
ngi
ne
e
r
i
ng
20
08 (
M
U
E
20
08)
,
pp
.
4
07
-
41
2
,
20
0
8.
[
3]
Y
.
Z
ha
i
a
n
d M
.
S
ha
h,
“
V
i
de
o
s
c
e
ne
s
e
gm
e
nt
a
t
i
on us
i
ng
M
a
r
k
ov
c
ha
i
n M
ont
e
C
a
r
l
o,
”
I
E
E
E
T
r
ans
ac
t
i
ons
on
M
u
ltim
e
d
ia
, v
o
l
/
i
ssu
e
:
8
(
4
)
,
pp
.
68
6
-
69
7,
200
6.
[
4]
A
.
Ch
e
rg
u
i
,
e
t a
l.
,
“
V
i
d
eo
s
cen
e s
eg
m
en
t
at
i
o
n
u
s
i
n
g
t
h
e s
h
o
t
t
r
an
s
i
t
i
o
n
d
et
ect
i
o
n
b
y
l
o
cal
ch
ar
act
er
i
zat
i
o
n
o
f
t
h
e
poi
nt
s
of
i
nt
e
r
e
s
t
,
”
201
2 6t
h I
nt
e
r
nat
i
on
al
C
o
nf
e
r
e
nc
e
on Sc
i
e
nc
e
s
of
E
l
e
c
t
r
oni
c
s
,
T
e
c
h
nol
ogi
e
s
of
I
nf
or
m
at
i
o
n an
d
T
e
l
e
c
om
m
uni
c
at
i
ons
(
SE
T
I
T
)
,
p
p.
4
04
-
41
,
20
12.
[
5]
B.
T
.
T
r
uong
a
nd S
.
V
e
nk
a
t
e
s
h,
“
V
id
e
o
a
b
s
tr
a
c
tio
n
: A
s
y
s
te
m
a
tic
r
e
v
ie
w
a
n
d
c
la
s
s
if
i
c
a
tio
n
,”
A
C
M
T
r
ans
ac
t
i
ons
o
n
M
ul
t
i
m
e
di
a C
om
p
ut
i
ng C
om
m
un
i
c
at
i
o
ns
a
nd
A
pp
l
i
c
at
i
ons
(
T
O
M
CCA
P
)
,
vo
l
/
i
ssu
e
:
3
(
1
)
,
pp.
1
-
37,
2
007
.
[
6]
Y
.
X
ue
a
n
d W
.
Z
hi
c
he
ng
,
“
V
i
d
eo
S
eg
m
en
t
at
i
o
n
an
d
S
u
m
m
ar
i
zat
i
o
n
B
as
ed
o
n
G
en
et
i
c A
l
g
o
r
i
t
h
m
,
”
I
E
E
E
2
0
1
1
–
4t
h
I
nt
e
r
nat
i
o
nal
C
on
gr
e
s
s
on
I
m
age
and
Si
gn
al
P
r
oc
e
s
s
i
ng
,
p
p.
46
0
-
46
4
,
2
01
1.
[
7]
M.
A
.
M
i
zh
er
,
e
t a
l.
, “
A
m
e
a
ni
ng
f
ul
C
om
pa
c
t
K
e
y
F
r
a
m
e
s
E
x
t
r
a
c
t
i
on i
n C
om
pl
e
x
V
i
de
o S
hot
s
,
”
I
n
d
on
e
s
i
an
J
our
n
al
o
f
E
l
e
c
t
r
i
c
al
E
n
gi
ne
e
r
i
n
g
an
d C
om
put
e
r
Sc
i
e
nc
e
,
vo
l
/
i
ssu
e
:
7
(
3
)
,
pp
.
8
18
-
82
9,
20
17
.
[
8]
L.
J
.
Li
,
e
t a
l.
,
“
T
ow
a
r
ds
t
ot
a
l
s
c
e
ne
unde
r
s
t
a
n
di
ng
:
c
l
a
s
s
i
f
i
c
a
t
i
on,
a
n
not
a
t
i
on
a
nd
s
eg
m
en
t
at
i
o
n
i
n
an
au
t
o
m
at
i
c
f
r
a
m
e w
o
r
k
,
”
I
E
E
E
C
onf
e
r
e
nc
e
o
n c
om
p
ut
e
r
v
i
s
i
o
n a
nd
p
at
t
e
r
n r
e
c
ogn
i
t
i
o
n (
C
V
P
R
2
00
9)
,
p
p.
20
36
-
2
043
,
20
09
.
[
9]
Z
. X
i
o
n
g
,
e
t a
l.
,
“
S
em
an
t
i
c r
et
r
i
ev
al
o
f
v
i
d
eo
-
r
e
v
i
e
w
o
f
r
es
ear
ch
o
n
v
i
d
eo
r
et
r
i
ev
al
i
n
m
eet
i
n
g
s
,
m
o
v
i
es
an
d
b
r
o
ad
cas
t
n
e
w
s,
a
n
d
sp
o
r
t
s,
”
I
E
E
E
Si
gn
al
P
r
oc
e
s
s
i
n
g M
ag
az
i
ne
, v
o
l
/
i
ssu
e
:
23
(
2
)
,
pp.
1
8
-
2
7,
20
06.
[
1
0]
S.
H
.
K
i
m
an
d
R
.
H
. P
a
r
k
,
“
A
nov
e
l
a
ppr
oa
c
h t
o s
c
e
ne
c
ha
ng
e
de
t
e
c
t
i
on us
i
ng
a
c
r
os
s
e
nt
r
opy
,
”
P
r
oc
e
e
di
ng 2
00
0
I
nt
e
r
nat
i
o
nal
c
onf
e
r
e
nc
e
o
n i
m
a
g
e
pr
oc
e
s
s
i
ng
,
p
p.
93
7
-
9
40
,
2
00
0.
[
1
1]
P.
Y
.
Y
e
oh a
nd S
.
A.
R
.
Ab
u
-
B
ak
ar
,
“
M
a
x
i
m
u
m
e
nt
r
opy
m
e
t
hod (
M
E
M
)
f
or
a
c
c
ur
a
t
e
m
ot
i
on t
r
a
c
ki
ng
,
”
T
E
NCO
N
200
3 C
onf
e
r
e
nc
e
o
n c
o
nv
e
r
ge
nt
t
e
c
hnol
ogi
e
s
f
or
A
s
i
a
-
Pa
s
ific
r
e
g
i
o
n
,
p
p.
34
5
-
3
49
,
20
03
.
[
1
2]
J.
Hu
a
n
g
,
e
t a
l.
,
“
J
o
i
n
t
s
cen
e cl
as
s
i
f
i
cat
i
o
n
an
d
s
eg
m
en
t
at
i
on ba
s
e
d on
hi
dde
n m
a
r
k
ov
m
ode
l
,
”
I
E
E
E
T
r
ans
ac
t
i
o
ns
on M
ul
t
i
m
e
di
a
,
vo
l
/is
s
u
e
:
7
(
3
)
,
p
p.
5
38
-
55
0,
2
00
5.
[
1
3]
Y
.
S
on
g
,
e
t a
l.
,
“
MC
MC
-
ba
s
e
d s
c
e
ne
s
e
gm
e
nt
a
t
i
on
m
e
t
hod us
i
ng
s
t
r
uc
t
ur
e
of
v
i
de
o,
”
I
nt
e
r
n
at
i
on
al
Sy
m
pos
i
um
on
C
om
m
uni
c
a
t
i
o
ns
a
nd
I
nf
or
m
at
i
on
T
e
c
hno
l
o
gi
e
s
(
IS
CIT
)
,
pp
.
8
62
-
86
6
,
2
01
0.
[
1
4]
Y
. Z
h
a
o
,
e
t a
l.
,
“
S
c
e
ne
S
e
gm
e
nt
a
t
i
on a
nd C
a
t
e
g
or
i
z
a
t
i
o
n U
s
i
ng
N
C
ut
s
,
”
2
00
7 I
E
E
E
C
o
nf
e
r
e
nc
e
on C
om
p
ut
e
r
V
i
s
i
on
a
nd P
at
t
e
r
n
R
e
c
og
ni
t
i
on
, p
p
.
1
–
7
,
20
07
.
[
1
5]
D
.
A
g
h
l
m
an
d
i
an
d
K
.
F
aez,
“
A
ut
om
a
t
i
c
S
e
gm
e
nt
a
t
i
on of
G
l
ot
t
a
l
S
pa
c
e
f
r
om
V
i
de
o
I
m
ag
es
B
a
s
ed
o
n
M
at
h
em
at
i
cal
M
or
p
hol
og
y
a
nd t
he
H
oug
h T
r
a
ns
f
or
m
,
”
I
nt
e
r
nat
i
on
al
J
o
ur
na
l
of
E
l
e
c
t
r
i
c
al
an
d C
om
p
ut
e
r
E
n
gi
ne
e
r
i
ng (
I
J
E
C
E
)
,
v
ol
/
i
ssu
e
:
2
(
2
)
,
pp.
2
23
-
23
0,
20
12
.
[
1
6]
R.
C
.
J
oh
ns
on
,
e
t a
l.
,
“C
u
r
v
el
et
T
r
an
s
f
o
r
m
b
as
ed
R
et
i
n
al
I
m
ag
e
A
n
al
y
s
i
s
,
”
I
nt
e
r
nat
i
on
al
J
our
n
al
of
E
l
e
c
t
r
i
c
al
a
n
d
C
om
put
e
r
E
ng
i
ne
e
r
i
ng
(
I
J
E
C
E
)
,
vo
l
/
i
ssu
e
:
3
(
3
)
,
pp.
36
6
-
3
71
,
2
01
3
.
[
1
7]
H.
B
. K
a
n
g
,
“
A
h
i
er
ar
ch
i
cal
ap
p
r
o
u
ch
t
o
s
cen
e s
eg
m
en
t
at
i
o
n
,
”
I
E
E
E
W
or
k
s
hop
o
n C
o
nt
e
nt
-
B
a
s
ed
A
cces
s
o
f
I
m
a
g
e
and
V
i
de
o L
i
br
ar
i
e
s
,
20
01
(
C
B
A
I
V
L
2
00
1)
, p
p
. 6
5
-
71
,
20
01.
[
1
8]
W
.
W
id
ia
r
to
,
e
t a
l.
,
“
V
i
d
eo
s
u
m
m
ar
i
zat
i
o
n
u
s
i
n
g
a k
ey
f
r
a
m
e
s
el
ect
i
o
n
b
as
ed
o
n
s
h
o
t
s
eg
m
e
n
t
at
i
o
n
,
”
2
01
5
I
nt
e
r
nat
i
o
nal
C
on
f
e
r
e
nc
e
on
Sc
i
e
nc
e
i
n I
nf
or
m
a
t
i
o
n T
e
c
h
nol
ogy
(
I
C
SI
T
e
c
h)
,
pp.
2
07
-
2
12
,
20
15.
[
1
9]
W
.
W
id
ia
r
to
,
e
t a
l.
,
“
S
h
ot
s
e
gm
e
nt
a
t
i
o
n of
v
i
d
eo
an
i
m
at
i
o
n
t
o
g
en
er
at
e co
m
i
c s
t
r
i
p
b
as
ed
o
n
k
ey
f
r
a
m
e s
el
ect
i
o
n
,
”
201
5 I
E
E
E
I
nt
e
r
n
at
i
on
al
C
o
nf
e
r
e
nc
e
on C
ont
r
ol
Sy
s
t
e
m
,
C
om
pu
t
i
ng a
nd E
ngi
ne
e
r
i
ng (
I
C
C
SC
E
)
,
pp.
3
03
-
3
08
,
201
5
.
[
2
0]
M
.
de
l
F
a
br
o a
nd L
.
B
os
z
or
m
e
ny
i
,
“
V
i
d
eo
S
cen
e D
et
ect
i
o
n
B
as
e
d
O
n
R
ecu
r
r
i
n
g
M
o
tio
n
P
a
tte
r
n
s
,
”
2010 Se
c
o
nd
I
nt
e
r
nat
i
o
nal
C
on
f
e
r
e
nc
e
s
on A
dv
anc
e
s
i
n M
u
l
t
i
m
e
di
a
,
pp.
1
13
-
1
18
,
2
01
0.
[
2
1]
G.
Gu
a
n
,
e
t a
l.
,
“
K
e
y
poi
nt
-
b
as
ed
k
e
y
f
r
a
m
e s
el
ect
i
o
n
,
”
I
E
E
E
T
r
ans
ac
t
i
ons
o
n c
i
r
c
ui
t
s
an
d s
y
s
t
e
m
s
f
or
v
i
de
o
t
e
c
hnol
ogy
,
vol
/
i
ssu
e
:
23
(
4
)
,
pp.
7
29
-
73
4,
201
3.
[
2
2]
C
.
P
an
ag
i
o
t
ak
i
s
,
e
t a
l.
,
“
E
q
u
i
v
al
en
t
k
ey
f
r
a
m
e
s
s
el
ect
i
o
n
b
as
ed
o
n
I
s
o
-
C
o
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