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ag
e
f
r
o
m
a
th
ir
d
p
ar
t
y
.
Ste
g
an
o
g
r
ap
h
y
is
o
f
te
n
co
n
f
u
s
ed
w
it
h
cr
y
p
to
lo
g
y
b
ec
au
s
e
t
h
e
t
w
o
ar
e
s
i
m
ilar
i
n
t
h
e
w
a
y
t
h
at
t
h
e
y
b
o
th
ar
e
u
s
ed
t
o
p
r
o
tect
im
p
o
r
tan
t
in
f
o
r
m
atio
n
.
T
h
e
d
if
f
er
en
ce
b
et
w
ee
n
th
e
t
w
o
is
t
h
at
Ste
g
a
n
o
g
r
ap
h
y
i
n
v
o
l
v
es
h
id
in
g
in
f
o
r
m
atio
n
s
o
it
ap
p
ea
r
s
th
at
n
o
in
f
o
r
m
a
tio
n
i
s
h
id
d
en
at
all.
I
f
a
p
er
s
o
n
o
r
p
er
s
o
n
s
v
ie
w
s
th
e
o
b
j
ec
t
th
at
th
e
in
f
o
r
m
at
io
n
i
s
h
id
d
en
in
s
id
e
o
f
h
e
o
r
s
h
e
w
ill
h
a
v
e
n
o
id
ea
th
at
th
er
e
is
an
y
h
i
d
d
en
in
f
o
r
m
at
io
n
,
th
er
e
f
o
r
e
th
e
p
er
s
o
n
w
il
l
n
o
t
atte
m
p
t
to
d
ec
r
y
p
t
th
e
i
n
f
o
r
m
atio
n
.
Ste
g
a
n
o
g
r
ap
h
y
in
t
h
e
m
o
d
er
n
d
a
y
s
e
n
s
e
o
f
t
h
e
w
o
r
d
u
s
u
all
y
r
e
f
er
s
to
in
f
o
r
m
atio
n
o
r
a
f
ile
th
at
h
as
b
ee
n
co
n
ce
aled
in
s
id
e
a
d
ig
ital
P
i
ctu
r
e,
Vid
eo
o
r
A
u
d
io
f
i
le.
W
h
at
Steg
a
n
o
g
r
ap
h
y
es
s
en
tiall
y
d
o
es
is
e
x
p
lo
it
h
u
m
an
p
er
ce
p
tio
n
;
h
u
m
a
n
s
e
n
s
e
s
ar
e
n
o
t
tr
ai
n
ed
to
lo
o
k
f
o
r
f
iles
th
at
h
a
v
e
in
f
o
r
m
at
io
n
h
id
d
en
in
s
id
e
o
f
th
e
m
.
Gen
er
all
y
,
in
s
teg
a
n
o
g
r
ap
h
y
,
th
e
ac
t
u
al
i
n
f
o
r
m
atio
n
is
n
o
t
m
ai
n
tai
n
ed
i
n
it
s
o
r
ig
in
al
f
o
r
m
at
an
d
th
er
eb
y
it
is
co
n
v
er
ted
i
n
to
a
n
alter
n
ati
v
e
eq
u
iv
a
len
t
m
u
lti
m
ed
ia
f
ile
li
k
e
i
m
a
g
e,
v
id
eo
o
r
au
d
io
w
h
ic
h
i
n
t
u
r
n
is
b
ein
g
h
id
d
en
w
it
h
i
n
an
o
th
er
o
b
j
ec
t.
T
h
is
ap
p
ar
en
t
m
es
s
ag
e
(
k
n
o
w
n
a
s
co
v
er
tex
t
i
n
u
s
u
al
ter
m
s
)
is
s
en
t
t
h
r
o
u
g
h
t
h
e
n
et
w
o
r
k
to
th
e
r
ec
ip
ien
t,
w
h
er
e
t
h
e
ac
t
u
al
m
es
s
ag
e
is
s
ep
ar
ated
f
r
o
m
it.
T
h
er
e
ar
e
m
a
n
y
to
e
m
b
ed
in
f
o
r
m
atio
n
in
to
a
p
o
p
u
la
r
m
ed
ia
u
s
i
n
g
s
teg
a
n
o
g
r
ap
h
y
.
A
g
o
o
d
ex
a
m
p
le
o
f
th
is
i
s
th
e
r
elatio
n
s
h
ip
b
et
w
ee
n
a
r
ec
o
d
ed
s
o
n
g
,
an
d
its
l
y
r
ic
s
.
T
h
e
au
d
io
f
ile
co
n
tain
i
n
g
t
h
e
r
ec
o
r
d
in
g
is
m
u
c
h
lar
g
er
th
a
n
th
e
s
o
n
g
l
y
r
ics
s
t
o
r
ed
as
a
p
lain
A
SC
I
I
f
iles
.
T
h
er
ef
o
r
e
it
is
p
r
o
b
a
b
ly
s
a
f
e
to
ass
u
m
e
th
a
t
th
e
s
m
al
ler
f
ile
co
u
ld
b
e
s
teg
an
o
g
r
ap
h
icall
y
e
m
b
ed
d
ed
in
to
th
e
l
ar
g
er
o
n
e
w
i
th
o
u
t i
m
p
ac
t
in
g
t
h
e
q
u
alit
y
.
I
m
p
o
r
tan
t
d
o
m
ain
s
,
b
esid
es
c
lass
ic
co
m
p
u
ti
n
g
,
w
h
er
e
s
te
g
an
o
g
r
ap
h
y
ca
n
b
e
ap
p
lied
ar
e
d
o
m
ai
n
s
u
s
i
n
g
m
o
b
ile
a
n
d
e
m
b
ed
d
ed
d
ev
ices
e
s
p
ec
iall
y
m
o
b
ile
p
h
o
n
es.
I
n
t
h
is
p
r
o
j
ec
t
w
e
s
tate
t
h
e
f
ac
t
t
h
a
t
s
teg
a
n
o
g
r
ap
h
y
ca
n
b
e
s
u
cc
es
s
f
u
ll
y
i
m
p
le
m
e
n
ted
an
d
u
s
ed
in
to
a
n
e
x
t
g
e
n
er
atio
n
o
f
co
m
p
u
ti
n
g
tec
h
n
o
lo
g
y
w
it
h
i
m
a
g
e
an
d
v
id
eo
p
r
o
ce
s
s
i
n
g
ab
ilit
ie
s
.
T
h
e
L
SB
m
e
th
o
d
u
s
ed
f
o
r
th
i
s
p
r
o
j
ec
t
w
h
ic
h
s
ati
s
f
ie
s
th
e
r
eq
u
ir
e
m
en
t
o
f
s
te
g
a
n
o
g
ap
h
y
p
r
o
to
co
ls
.
T
h
is
r
esear
ch
w
il
l
i
n
cl
u
d
e
i
m
p
le
m
e
n
tatio
n
o
f
s
teg
a
n
o
g
r
ap
h
ic
alg
o
r
ith
m
f
o
r
en
co
d
in
g
d
ata
in
s
id
e
v
id
e
o
f
iles
,
as
w
e
ll
as
tech
n
iq
u
e
to
d
y
n
a
m
icall
y
e
x
tr
ac
t
th
at
d
ata
as
o
r
ig
in
al.
2.
L
I
T
E
R
AT
U
RE
R
E
VI
E
W
Fo
r
s
tu
d
y
in
g
t
h
e
co
n
ce
p
ts
o
f
v
id
eo
s
te
g
an
o
g
r
ap
h
y
,
w
e
h
a
v
e
s
u
r
v
e
y
ed
m
an
y
late
s
t
p
ap
er
s
.
I
n
t
h
i
s
s
ec
tio
n
w
e
h
a
v
e
d
escr
ib
ed
th
e
r
elev
an
t
p
ap
er
s
o
f
d
if
f
er
en
t
a
u
th
o
r
s
.
W
e
t
h
an
k
t
h
e
s
e
au
t
h
o
r
s
f
o
r
p
r
o
v
id
in
g
t
h
e
k
n
o
w
led
g
e
o
f
v
id
eo
s
teg
a
n
o
g
r
ap
h
y
.
T
h
ese
p
ap
er
s
w
er
e
v
er
y
i
m
p
o
r
tan
t
to
u
s
f
o
r
s
tu
d
y
in
g
th
e
b
asic
co
n
ce
p
t
A
r
u
p
Ku
m
ar
B
h
a
u
m
ik
,
Mi
n
k
y
u
C
h
o
i,
R
o
s
s
li
n
J
.
R
o
b
les,
an
d
Ma
r
icel
O.
B
alitan
as
[
2
]
,
th
e
m
ai
n
r
eq
u
ir
e
m
e
n
t
s
o
f
an
y
d
ata
h
id
i
n
g
s
y
s
te
m
ar
e
s
ec
u
r
it
y
,
ca
p
ac
it
y
a
n
d
r
o
b
u
s
t
n
ess
I
t
is
v
er
y
d
if
f
ic
u
lt
to
ar
ch
i
v
e
all
th
e
s
e
f
ac
to
r
s
to
g
eth
er
b
ec
au
s
e
t
h
ese
ar
e
in
v
er
s
el
y
p
r
o
p
o
r
tio
n
al
to
ea
c
h
o
th
er
.
A
u
t
h
o
r
s
h
a
v
e
f
o
c
u
s
es
o
n
m
a
x
i
m
izi
n
g
s
ec
u
r
it
y
a
n
d
ca
p
ac
it
y
f
ac
to
r
o
f
d
ata
h
id
in
g
.
T
h
e
d
ata
h
id
in
g
m
et
h
o
d
u
s
es
h
ig
h
r
eso
lu
tio
n
d
ig
ital
v
id
eo
as
a
co
v
er
s
i
g
n
a
l.
I
t
p
r
o
v
id
es
t
h
e
ab
i
lit
y
to
h
id
e
a
s
ig
n
i
f
ica
n
t
q
u
alit
y
o
f
i
n
f
o
r
m
atio
n
m
ak
i
n
g
it
d
i
f
f
er
e
n
t
f
r
o
m
t
y
p
ical
d
ata
h
id
in
g
m
ec
h
a
n
is
m
s
.
T
h
e
y
h
a
v
e
u
s
ed
th
e
lar
g
e
p
ay
lo
ad
s
lik
e
v
id
eo
in
v
id
eo
an
d
p
ictu
r
e
i
n
v
id
eo
as
a
co
v
er
i
m
a
g
e.
Ah
m
ed
C
h
.
Sh
a
k
ir
[
1
]
,
th
e
co
n
f
id
en
tial
c
o
m
m
u
n
icatio
n
s
o
v
er
p
u
b
lic
n
e
t
w
o
r
k
s
ca
n
b
e
d
o
n
e
u
s
i
n
g
d
ig
ita
l
m
ed
ia
l
ik
e
te
x
t,
i
m
a
g
es,
a
u
d
io
an
d
v
id
eo
o
n
th
e
i
n
ter
n
et.
Si
m
p
l
y
h
id
in
g
th
e
co
n
te
n
t
s
o
f
a
m
es
s
ag
e
u
s
i
n
g
cr
y
p
to
g
r
ap
h
y
w
a
s
n
o
t
ad
eq
u
ate.
Hid
i
n
g
o
f
m
e
s
s
a
g
e
s
h
o
u
ld
p
r
o
v
id
e
a
n
ad
d
itio
n
al
la
y
er
o
f
s
ec
u
r
it
y
.
T
o
p
r
o
v
id
e
th
e
m
o
r
e
s
ec
u
r
it
y
th
e
au
t
h
o
r
s
u
g
g
e
s
ted
th
e
n
e
w
p
r
o
ce
d
u
r
es
in
s
teg
an
o
g
r
ap
h
y
f
o
r
h
id
in
g
cip
h
er
ed
I
n
f
o
r
m
atio
n
in
s
id
e
a
d
ig
ital
co
lo
r
b
itm
ap
i
m
a
g
e.
He
h
as
u
s
ed
q
u
ad
r
atic
m
et
h
o
d
d
ep
en
d
in
g
o
n
th
e
lo
ca
tio
n
s
co
n
cl
u
d
ed
b
y
th
e
b
in
ar
y
i
m
ag
e,
b
esid
e
o
f
p
u
b
li
c
k
e
y
cr
y
p
to
g
r
ap
h
y
.
He
h
ad
co
n
clu
d
ed
th
at
th
e
co
n
j
u
n
ctio
n
b
et
w
ee
n
cr
y
p
to
g
r
ap
h
y
a
n
d
s
teg
a
n
o
g
r
ap
h
y
p
r
o
d
u
ce
i
m
m
u
n
e
in
f
o
r
m
at
io
n
.
A
n
d
r
ea
s
W
estf
ield
an
d
Gr
itta
W
o
lf
[
3
]
,
in
t
h
is
w
o
r
k
au
th
o
r
h
av
e
d
e
s
cr
ib
ed
a
s
teg
a
n
o
g
r
ap
h
ic
s
y
s
te
m
w
h
ic
h
e
m
b
ed
s
s
ec
r
et
m
e
s
s
a
g
e
s
in
to
a
v
id
e
o
s
tr
ea
m
.
No
r
m
a
ll
y
t
h
e
co
m
p
r
es
s
io
n
m
e
th
o
d
s
ar
e
u
s
ed
in
v
id
eo
co
n
f
er
e
n
ce
s
f
o
r
s
ec
u
r
in
g
ac
ce
p
tab
le
q
u
alit
y
.
B
u
t
u
s
u
al
l
y
,
co
m
p
r
ess
io
n
m
eth
o
d
s
ar
e
lo
s
s
y
b
ec
a
u
s
e
r
ec
o
n
s
tr
u
cted
i
m
a
g
e
m
a
y
n
o
t
b
e
id
en
tical
w
it
h
th
e
o
r
ig
i
n
al.
T
h
er
e
ar
e
s
o
m
e
d
r
a
w
b
ac
k
o
f
c
o
m
p
r
es
s
io
n
a
n
d
d
ata
em
b
ed
d
in
g
m
et
h
o
d
.
Sig
n
a
l
n
o
is
e
an
d
ir
r
elev
a
n
ce
ar
e
co
m
m
o
n
ex
a
m
p
les
o
f
d
ata
e
m
b
ed
d
in
g
.
B
u
t
co
m
p
r
ess
io
n
m
et
h
o
d
s
tr
y
to
r
em
o
v
e
s
ig
n
al
n
o
is
e
an
d
ir
r
elev
a
n
ce
.
I
f
s
ig
n
al
i
s
co
m
p
r
ess
ed
m
o
r
e,
th
en
th
er
e
ar
e
f
e
w
er
p
o
s
s
ib
ilit
ie
s
o
f
d
ata
e
m
b
ed
d
in
g
.
T
h
e
a
u
t
h
o
r
h
a
v
e
s
o
lv
ed
t
h
is
p
r
o
b
lem
,
th
e
y
h
av
e
i
n
v
e
s
ti
g
ated
a
t
y
p
ical
s
i
g
n
al
p
ath
f
o
r
d
ata
e
m
b
ed
d
in
g
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
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IJ
AA
S
Vo
l.
4
,
No
.
2
,
J
u
n
e
2
0
1
5
:
66
–
72
68
I
n
th
i
s
alg
o
r
ith
m
s
ec
u
r
it
y
is
estab
lis
h
ed
b
y
i
n
d
eter
m
i
n
i
s
m
w
it
h
i
n
th
e
s
i
g
n
al
p
ath
.
S
h
er
l
y
A
P
an
d
Am
r
it
h
a
P
[
1
4
]
,
in
th
is
p
ap
er
au
th
o
r
h
a
v
e
p
r
o
p
o
s
ed
a
n
e
w
c
o
m
p
r
e
s
s
ed
v
id
eo
Ste
g
an
o
g
r
ap
h
ic
s
c
h
e
m
e.
I
n
t
h
is
s
ch
e
m
e
th
e
d
ata
i
s
h
id
d
en
co
m
p
r
e
s
s
ed
d
o
m
a
in
.
T
h
e
d
ata
ar
e
e
m
b
ed
d
ed
in
t
h
e
m
ac
r
o
b
lo
ck
s
o
f
I
,
P
f
r
a
m
es
an
d
in
B
f
r
a
m
es.
T
h
e
n
o
v
el
e
m
b
e
d
d
in
g
tech
n
iq
u
e
T
r
i
w
a
y
P
ix
e
l
Valu
e
Dif
f
er
en
c
in
g
(
T
P
VD)
is
u
s
ed
to
in
cr
ea
s
e
th
e
ca
p
ac
it
y
o
f
t
h
e
h
id
d
en
s
e
cr
et
in
f
o
r
m
atio
n
an
d
f
o
r
to
p
r
o
v
id
in
g
an
i
m
p
er
ce
p
tib
le
s
teg
o
-
i
m
a
g
e
f
o
r
h
u
m
an
v
is
io
n
.
T
h
is
al
g
o
r
ith
m
ca
n
b
e
ap
p
lied
o
n
co
m
p
r
ess
ed
v
id
eo
s
w
ith
o
u
t
d
e
g
r
ad
atio
n
i
n
v
is
u
al
q
u
alit
y
.
Sa
u
r
ab
h
Sin
g
h
an
d
Gau
r
a
v
Ag
ar
w
al
[
1
3
]
,
h
av
e
p
r
esen
ted
a
n
o
v
el
ap
p
r
o
ac
h
o
f
h
id
i
n
g
i
m
ag
e
i
n
a
v
id
eo
.
I
n
t
h
i
s
ap
p
r
o
ac
h
,
o
n
e
L
SB
o
f
ea
ch
p
i
x
el
i
s
r
ep
lace
d
b
y
th
e
o
n
e
b
it
o
f
s
ec
r
ete
m
es
s
ag
e.
So
I
t
is
v
er
y
d
if
f
ic
u
lt
to
f
i
n
d
th
at
i
m
ag
e
i
s
h
id
d
en
i
n
t
h
e
v
i
d
eo
o
f
3
0
f
r
a
m
es
p
er
s
ec
o
n
d
.
T
h
e
an
al
y
s
i
s
is
v
er
y
d
if
f
ic
u
lt
b
ec
au
s
e
ea
ch
r
o
w
o
f
i
m
a
g
e
p
ix
el
s
is
h
id
d
en
in
m
u
lt
ip
le
f
r
a
m
e
s
o
f
th
e
v
id
eo
.
T
h
e
in
tr
u
d
er
r
eq
u
ir
es
f
u
ll
v
id
e
o
to
u
n
h
id
e
i
m
a
g
e.
Au
th
o
r
s
h
av
e
d
escr
ib
ed
th
e
L
SB
alg
o
r
it
h
m
i
n
t
h
i
s
p
ap
er
.
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
i
s
v
er
y
u
s
e
f
u
l
i
n
s
en
d
i
n
g
s
en
s
iti
v
e
i
n
f
o
r
m
atio
n
s
ec
u
r
el
y
.
S.S
u
m
a
C
h
r
is
tal
Ma
r
y
[
1
2
]
,
h
av
e
p
r
o
p
o
s
ed
n
e
w
R
ea
l
t
i
m
e
C
o
m
p
r
e
s
s
ed
v
id
eo
s
ec
u
r
e
Ste
g
a
n
o
g
r
ap
h
y
(
C
VS
S)
alg
o
r
it
h
m
u
s
in
g
v
id
eo
b
it
s
tr
ea
m
.
I
n
t
h
is
,
e
m
b
ed
d
in
g
a
n
d
d
etec
tio
n
o
p
er
atio
n
s
ar
e
b
o
th
e
x
ec
u
ted
en
t
ir
el
y
in
t
h
e
co
m
p
r
ess
ed
.
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
i
n
cr
ea
s
es
t
h
e
s
ec
u
r
i
t
y
b
ec
au
s
e
th
e
s
tatis
tical
i
n
v
is
ib
il
it
y
o
f
co
n
ti
g
u
o
u
s
f
r
a
m
es
is
u
s
ed
to
ad
j
u
s
t
th
e
e
m
b
ed
d
in
g
s
tr
ate
g
y
a
n
d
ca
p
ac
it
y
.
A
t
p
r
esen
t
w
e
ar
e
h
id
i
n
g
t
h
e
d
ata
in
v
id
e
o
f
o
r
m
at,
s
o
i
n
th
e
f
u
tu
r
e
i
m
p
le
m
e
n
tatio
n
o
f
u
n
co
m
p
r
e
s
s
ed
f
o
r
m
at
s
m
a
y
p
o
s
s
ib
l
e
as
w
e
l
l,
s
o
it
m
a
y
s
u
p
p
o
r
t M
P
E
G4
f
o
r
m
a
t [
1
6
]
.
Mu
ltip
le
f
r
a
m
e
s
e
m
b
ed
d
in
g
ar
e
p
o
s
s
ib
le.
No
w
w
e
ar
e
e
m
b
ed
d
i
n
g
s
in
g
le
f
r
a
m
e
at
a
ti
m
e,
b
u
t
i
n
f
u
t
u
r
e
m
u
ltip
le
f
r
a
m
es e
m
b
ed
d
in
g
i
s
also
p
o
s
s
ib
le.
3.
P
RO
P
O
SE
D
AL
G
O
R
I
T
H
M
T
h
e
ex
is
ti
n
g
s
y
s
te
m
s
lack
g
o
o
d
u
s
er
i
n
ter
f
ac
e,
n
o
n
p
r
o
v
is
io
n
o
f
ch
o
o
s
i
n
g
t
h
e
k
e
y
an
d
m
o
r
e
en
co
d
e
-
d
ec
o
d
e
ti
m
e
co
n
s
u
m
p
tio
n
.
T
h
er
e
ar
e
lo
ts
o
f
s
teg
an
o
g
r
ap
h
ic
p
r
o
g
r
am
s
av
ailab
le.
A
f
e
w
o
f
th
e
m
ar
e
ex
ce
llen
t
in
ev
er
y
r
esp
ec
t;
u
n
f
o
r
tu
n
at
el
y
,
m
o
s
t
o
f
t
h
e
m
lack
u
s
a
b
le
in
ter
f
ac
e
s
,
o
r
co
n
tain
to
o
m
a
n
y
b
u
g
s
,
o
r
u
n
a
v
ailab
ili
t
y
o
f
a
p
r
o
g
r
a
m
f
o
r
o
th
er
o
p
er
atin
g
s
y
s
te
m
s
.
T
h
e
p
r
o
p
o
s
ed
ap
p
licatio
n
w
ill ta
k
e
in
to
ac
co
u
n
t th
e
s
e
s
h
o
r
tco
m
i
n
g
s
,
a
n
d
s
i
n
ce
it
w
il
l
b
e
w
r
itte
n
i
n
J
av
a,
o
p
er
ab
ilit
y
o
v
er
m
u
l
tip
le
o
p
er
atin
g
s
y
s
t
e
m
s
a
n
d
ev
e
n
o
v
e
r
d
if
f
er
e
n
t
h
ar
d
w
ar
e
p
latf
o
r
m
s
w
o
u
ld
n
o
t
b
e
an
is
s
u
e.
T
h
is
p
r
o
p
o
s
ed
s
teg
o
m
ac
h
i
n
e
p
r
o
v
id
es
ea
s
y
w
a
y
o
f
i
m
p
le
m
en
t
in
g
t
h
e
m
et
h
o
d
s
.
T
h
e
id
ea
b
eh
in
d
t
h
is
d
esi
g
n
is
t
o
p
r
o
v
id
e
a
g
o
o
d
,
ef
f
icien
t
m
eth
o
d
f
o
r
h
id
in
g
t
h
e
d
ata
f
r
o
m
h
ac
k
er
s
a
n
d
s
e
n
t
t
o
th
e
d
esti
n
atio
n
s
ec
u
r
el
y
.
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
,
b
o
th
f
o
r
en
co
d
in
g
an
d
d
ec
o
d
in
g
alo
n
g
w
it
h
ap
p
licatio
n
ar
e
g
i
v
en
i
n
t
h
is
s
ec
tio
n
.
E
n
co
d
in
g
tec
h
n
iq
u
e
a
n
d
d
ec
o
d
in
g
tec
h
n
iq
u
e
i
s
g
iv
e
n
.
3
.
1
.
Ste
ps
o
f
P
r
o
po
s
ed
Sy
s
t
em
(
Da
t
a
H
idi
ng
)
1.
Select
in
p
u
t
A
VI
v
id
eo
.
2.
C
h
ec
k
f
o
r
u
n
co
m
p
r
es
s
ed
f
o
r
m
at
o
f
an
A
VI
v
id
eo
3.
I
f
in
p
u
t v
id
eo
is
u
n
co
m
p
r
e
s
s
e
d
,
ex
tr
ac
t f
r
a
m
e
s
&
a
u
d
io
f
r
o
m
v
id
eo
.
4.
Select
ex
tr
ac
ted
au
d
io
w
av
e
f
i
le
&
ag
ai
n
c
h
ec
k
f
o
r
its
h
ea
d
er
.
5.
Au
d
io
s
ten
o
g
r
ap
h
y
a.
Select
Ke
y
f
ile
f
o
r
au
d
io
f
ile
s
a
m
p
les s
elec
tio
n
.
b.
Select
d
ata
&
en
cr
y
p
t it
u
s
i
n
g
s
y
m
m
etr
ic
k
e
y
cr
y
p
to
g
r
ap
h
y
,
c.
Select
Sa
m
p
le
s
o
f
a
n
au
d
io
w
a
v
e
f
i
le
b
ased
o
n
th
e
co
n
te
n
t o
f
k
e
y
f
ile.
d.
Hid
e
en
cr
y
p
ted
d
ata
in
to
L
SB
b
it p
o
s
itio
n
o
f
s
elec
ted
s
a
m
p
le
s
.
e.
Ass
e
m
b
les a
u
d
io
s
a
m
p
les
s
o
th
at
r
esu
lt st
e
g
o
au
d
io
f
ile
w
i
ll
g
en
er
ate.
f.
Sav
e
R
e
s
u
lt
s
te
g
o
au
d
io
f
ile
c
o
n
tain
i
n
g
s
ec
r
ete
d
ata
in
a
n
en
cr
y
p
ted
f
o
r
m
at.
6.
Gen
er
ated
AVI
u
n
co
m
p
r
ess
ed
A
VI
v
id
eo
f
r
o
m
ex
tr
ac
ted
i
m
ag
es/.
7.
A
d
d
W
ater
m
ar
k
f
r
a
m
e
i
n
A
VI
v
id
eo
.
8.
A
d
d
Ste
g
o
au
d
io
in
to
A
VI
v
id
eo
&
th
u
s
r
es
u
lt
A
VI
v
id
eo
w
i
th
s
ec
r
ete
i
n
f
o
r
m
atio
n
i
s
g
e
n
er
ated
.
3
.
2
.
Ste
ps
o
f
P
r
o
po
s
ed
Sy
s
t
em
(
Da
t
a
E
x
t
ra
ct
io
n)
1.
Select
A
VI
v
id
eo
&
c
h
ec
k
f
o
r
its
f
o
r
m
at
2.
I
f
in
p
u
t v
id
eo
is
u
n
co
m
p
r
e
s
s
e
d
th
en
ex
tr
ac
t f
r
a
m
es
&
au
d
io
f
r
o
m
i
n
p
u
t
A
VI
v
id
eo
.
3.
C
h
ec
k
f
o
r
ex
tr
ac
ted
au
d
io
w
a
v
e
f
ile
h
ea
d
er
.
4.
Au
d
io
Steg
n
o
g
r
ap
h
y
a.
Select
Ke
y
f
ile
f
o
r
au
d
io
f
ile
s
a
m
p
les s
elec
tio
n
b.
E
x
tr
ac
t secr
ete
en
cr
y
p
ted
d
ata
f
r
o
m
i
n
p
u
t a
u
d
io
f
ile.
c.
Select
p
ass
w
o
r
d
&
d
ec
r
y
p
t c
ip
h
er
tex
t
u
s
i
n
g
co
r
r
ec
t s
y
m
m
e
tr
ic
alg
o
r
ith
m
.
d.
Sav
e
R
e
s
u
lt.
5.
Sto
p
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
AA
S
I
SS
N:
2252
-
8814
A
u
d
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ita
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I
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N
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2
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IJ
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ith
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RE
F
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R
E
NC
E
S
[1
]
A
h
m
e
d
Ch
.
S
h
a
k
ir,
”
S
ten
o
E
n
c
r
y
p
ted
M
e
ss
a
g
e
in
A
n
y
Lan
g
u
a
g
e
f
o
r
Ne
t
w
o
rk
Co
m
m
u
n
ica
ti
o
n
Us
in
g
Qu
a
d
ra
ti
c
M
e
th
o
d
”
,
J
o
u
rn
a
l
o
f
Co
mp
u
ter
S
c
ien
c
e
,
Vo
l.
6
,
N
o
.
3
,
p
p
.
3
2
0
-
3
2
2
,
2
0
1
0
.
[2
]
A
ru
p
Ku
m
a
r
Bh
a
u
m
ik
,
M
in
k
y
u
Ch
o
i
,
Ro
ss
li
n
J.
R
o
b
les
,
a
n
d
M
a
rice
l
O.Ba
li
tan
a
s,
”
Da
ta
Hid
in
g
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n
V
id
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o
”
,
In
ter
n
a
t
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a
l
J
o
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r
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a
l
o
f
D
a
ta
b
a
s
e
T
h
e
o
ry
a
n
d
Ap
p
li
c
a
ti
o
n
,
V
o
l
.
2
,
No
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2
,
Ju
n
e
2
0
0
9
.
[3
]
A
n
d
re
a
s
W
e
st
fe
ld
a
n
d
G
rit
ta
W
o
lf
,
”
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te
g
a
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ra
p
h
y
in
a
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e
o
Co
n
f
e
re
n
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in
g
S
y
ste
m
”
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In
f
o
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m
a
ti
o
n
Hid
i
n
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e
r
-
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rlag
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n
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id
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lb
e
r
g
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p
p
.
3
2
-
4
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,
1
9
9
8
.
[4
]
Ch
e
n
g
Ch
e
o
k
Ya
n
,
“
I
n
tro
d
u
c
ti
o
n
o
n
T
e
x
t
Co
m
p
re
ss
io
n
Us
in
g
L
e
m
p
e
l,
Zi
p
,
W
e
lch
(L
ZW
)
m
e
th
o
d
”.
[5
]
D.
P
.
G
a
ik
w
a
d
a
n
d
Dr.
S
.
J.
W
a
g
h
,
“
Co
lo
r
Im
a
g
e
Re
sto
ra
ti
o
n
f
o
r
Eff
e
c
ti
v
e
S
teg
a
n
o
g
ra
p
h
y
”
,
i
-
ma
n
a
g
e
r’s
J
o
u
rn
a
l
o
n
S
o
f
twa
re
E
n
g
i
n
e
e
rin
g
,
V
o
l
.
4
l
,
No
.
3
,
p
p
.
6
5
-
71
,
M
a
rc
h
2
0
1
0
.
[6
]
D.
P.
G
a
ik
wa
d
a
n
d
Dr.
S
.
J.W
a
g
h
,
“
Im
a
g
e
Re
sto
ra
ti
o
n
Ba
se
d
L
S
B
S
teg
a
n
o
g
ra
p
h
y
f
o
r
Co
lo
r
I
m
a
g
e
”
,
A
IS
A
-
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
2
2
5
2
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8814
IJ
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Vo
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4
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.
2
,
J
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2
0
1
5
:
66
–
72
72
P
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CIF
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Re
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m
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t
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b
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2
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.
[7
]
Rich
a
rd
E.
W
o
o
d
s &
Ra
f
a
e
l
C.
Go
n
z
a
lez
,
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Dig
it
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l
Im
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g
e
P
ro
c
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ss
in
g
”
,
Bo
o
k
.
[8
]
F
rid
rich
,
J.
R.
Du
,
M
.
L
o
n
g
,
“
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5
a
lg
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2
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.
[9
]
Ne
il
F
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Ja
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p
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n
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e
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rg
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M
a
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Un
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y
.
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0
]
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.
S
u
m
a
Ch
ristal
M
a
ry
,
“
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1
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2
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1
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p
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6
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9
9
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0
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3
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2
0
1
0
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[1
2
]
“
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in
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a
b
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,
Co
m
p
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tatio
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a
l
C
y
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e
rn
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c
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n
d
T
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h
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f
o
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m
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ti
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s
(ICCCCON
T
I),
2
0
1
0
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tern
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ti
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n
a
l
Jo
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n
t
Co
n
f
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re
n
c
e
,
T
i
m
i
so
a
ra
,
Ro
m
a
n
ia
,
M
a
y
2010
.
[1
3
]
Y.
J.
Da
i,
L
.
H.
Zh
a
n
g
a
n
d
Y.
X
.
Ya
n
g
,
“
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Ne
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th
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PE
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ra
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tern
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ti
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n
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l
C
o
n
f
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Co
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T
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c
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y
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d
in
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s (ICCT
)
,
2
0
0
3
.
[1
4
]
D.
C.
W
u
a
n
d
W
.
H.
T
sa
i
.
“
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ste
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2
4
,
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p
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1
6
1
3
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6
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6
,
2
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0
3
.
[1
5
]
F
.
Ha
rtu
n
g
,
B.
G
iro
d
,
“
S
teg
a
n
o
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n
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o
f
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p
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p
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,
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g
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l
Pro
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,
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p
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Iss
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n
Co
p
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rig
h
t
Pr
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tec
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n
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d
Acc
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ss
Co
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tro
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f
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r M
u
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ime
d
i
a
S
e
rv
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s
,
V
o
l
.
66
,
N
o
.
3
,
p
p
.
2
8
3
-
3
0
1
,
1
9
9
8
.
[1
6
]
S
h
e
rly
A
.
P
.,
a
n
d
Am
rit
h
a
P
.
P
.
,
”
A
Co
m
p
re
ss
e
d
V
id
e
o
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teg
a
n
o
g
ra
p
h
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sin
g
T
P
V
D”
,
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Da
ta
b
a
se
M
a
n
a
g
e
me
n
t
S
y
ste
ms
(IJ
DM
S
)
,
V
o
l.
2
,
No
.
3
,
A
u
g
u
st 2
0
1
0
.
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