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Kết hợp đặc trưng thị giác và ngữ nghĩa trong truy vấn video số dựa trên mô hình phân cấp dữ liệu
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This paper presents a method for automatic structural analysis of digital videos to generate the table of content and the index table of the given videos.These tables allow storing videos by a hierarchy of video, cluster of shots, shots, key-frames of shots, cluster of regions. Then a method for retrieving videos by using the input data as visual feature and semantic concepts is represented.
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Nội dung Text: Kết hợp đặc trưng thị giác và ngữ nghĩa trong truy vấn video số dựa trên mô hình phân cấp dữ liệu
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Tap ch´ Tin hoc v` Diˆu khiˆ n hoc, T.23, S.1 (2007), 27—38<br />
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KET HO P DAC TRU NG THI GIAC VA NGU NGH˜<br />
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TRONG TRUY VAN VIDEO SO DU A TREN MO H`<br />
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NGUYEN LAM1 , LY QUOC NGOC2 , DU O NG ANH DU C2<br />
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Dai hoc Lu.o.ng Thˆ Vinh, Nam Dinh<br />
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Abstract. Nowadays, digital video documents grow in both the number and the size of storing<br />
spaces. Therefore, it requires efficient management techniques and methods that allow retrieving<br />
video documents in an efficient way. This paper presents a method for automatic structural analysis<br />
of digital videos to generate the table of content and the index table of the given videos.These tables<br />
allow storing videos by a hierarchy of video, cluster of shots, shots, key-frames of shots, cluster of<br />
regions. Then a method for retrieving videos by using the input data as visual feature and semantic<br />
concepts is represented.<br />
The video retrieval is performed by two steps in off-line and on-line modes. The off-line step<br />
consists of decomposing a video sequence into elementary segments. Then, these elementary segments<br />
are classified by a hierarchical clustering algorithm. Finally, a table of content and an index table<br />
are generated for the given video sequence. The on-line step consists of retrieving videos based on a<br />
hierachical data base using the input data as video clip, shot ,key-frames, representatives of region’s<br />
clusters, then the retrieved results are filtered by semantic concepts.<br />
The obtained results show that the proposed model is more efficient than the traditional systems<br />
which are only based on global, local visual features or keywords.<br />
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NGUYEN LAM, LY QUOC NGOC, DU O NG ANH DU C<br />
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nghiˆn c´.u v` ph´t triˆ n v´.i tˆc dˆ rˆt nhanh nh˘ m d´p u.ng du.o.c yˆu cˆu cua cuˆc sˆng.<br />
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.´.i dang bang muc luc v` chı muc du.a trˆn d˘c tru.ng m`u v` d˘c tru.ng chuyˆ n<br />
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.i d˜. liˆu nhˆp l` doan video, ch´ng tˆi cho kˆt xuˆ t l` bang muc luc v` chı muc cua doan<br />
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video d´. So. dˆ tˆ ng qu´t cua qu´ tr`nh tu. dˆng tao bang muc luc v` chı muc :<br />
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Phˆn doan tuˆn tu. → Tao cˆu tr´c phˆn cˆ p → Tao bang muc luc v` chı muc.<br />
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’ ch´.c d˜. liˆu, thu.c hiˆn lu.u tr˜. c´c thˆng tin theo so. dˆ phˆn cˆp sau.<br />
`<br />
´<br />
` a o<br />
e<br />
u a<br />
o<br />
o a a<br />
Vˆ m˘t tˆ u u e<br />
e .<br />
.<br />
.<br />
.<br />
´i v´.i d˘c tru.ng to`n cuc, lu.u tr˜.:<br />
Dˆ o a<br />
o<br />
a .<br />
u<br />
.<br />
` ’ . e ’ o a<br />
’ a<br />
’<br />
’<br />
’<br />
a<br />
a<br />
+ D˘c tru.ng cua phˆn tu. dai diˆn cua l´.p c´c doan co. so., d˘c tru.ng cua doan co. so. trong<br />
.<br />
.<br />
.<br />
.<br />
.<br />
.p.<br />
l´<br />
o<br />
`<br />
’<br />
’<br />
’ o<br />
ınh ınh ’<br />
a ’ .<br />
a<br />
e<br />
a<br />
+ D˘c tru.ng cua khung h` ch´ cua phˆn tu. dai diˆn cua l´.p, d˘c tru.ng cua khung<br />
.<br />
.<br />
.<br />
’<br />
o<br />
h` ch´ cua doan co. so. trong l´.p.<br />
ınh ınh ’<br />
.<br />
´<br />
u<br />
Dˆi v´.i d˘c tru.ng cuc bˆ, lu.u tr˜.:<br />
o o a<br />
. o<br />
.<br />
.<br />
.ng cua v`ng tiˆu biˆu cua doan co. so. dai diˆn.<br />
’ ’<br />
’ u<br />
’ .<br />
e<br />
e<br />
a<br />
e<br />
+ D˘c tru<br />
.<br />
.<br />
.<br />
.a v`o c´c d˘c tru.ng to`n cuc v` cuc bˆ, c´ thˆ truy t` c´c dˆi tu.o.ng tu.o.ng tu. trong<br />
’<br />
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a . a . o o e<br />
ım a o<br />
Du a a a<br />
.<br />
.<br />
.<br />
.<br />
.<br />
.ng cuc bˆ chı thˆ hiˆn du.o.c su. tu.o.ng tu. vˆ m˘t cˆ u tr´ c cua v`ng<br />
’ .<br />
` a a<br />
’<br />
o ’ e e<br />
e . ´<br />
u ’ u<br />
anh, tuy nhiˆn c´c d˘c tru<br />
e a a<br />
.<br />
.<br />
. .<br />
.<br />
.<br />
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ı ’ ’<br />
ı a<br />
u<br />
ch´. chu.a thˆ hiˆn hˆt du.o.c c´i m` v`ng thˆ hiˆn o. m´.c ng˜. ngh˜a cua anh. V` vˆy ch´ng<br />
u<br />
. a a u<br />
.<br />
´<br />
´<br />
tˆi kˆt ho.p thˆm ng˜. ngh˜ v`o viˆc truy vˆ n.<br />
o e .<br />
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.<br />
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KET HO P DAC TRU NG THI GIAC VA NGU NGH˜<br />
IA<br />
.<br />
.<br />
.<br />
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29<br />
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Nh˘ m chuˆ n bi d˜. liˆu dˆ truy vˆ n du.a ng˜. ngh˜a, trong mˆ i l´.p trong cˆy muc luc ho˘c<br />
a<br />
a . u e e<br />
a<br />
.<br />
. .<br />
.<br />
. so. dai diˆn, sau d´ tiˆn h`nh phˆn doan c´c khung h`nh cua co.<br />
´<br />
’<br />
’ .<br />
e<br />
o e a<br />
a<br />
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ı<br />
cˆy chı muc, chon doan co ’ .<br />
a<br />
.<br />
.<br />
.<br />
.<br />
´<br />
’ . e<br />
o<br />
o<br />
ı a<br />
so. dai diˆn th`nh c´c v` ng, c´c v`ng n`y kh´c v´.i c´c dˆi tu.o.ng khˆng gian-th`.i gian v` c´c<br />
a<br />
a u<br />
a u<br />
a<br />
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.<br />
.<br />
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’ o<br />
a ’ ` o .<br />
a `<br />
o<br />
v`ng n`y c´ thˆ khˆng mang chuyˆn dˆng m` chı cˆn tˆ n tai trong th`.i gian du l´.n trong<br />
u<br />
a o e o<br />
e o<br />
.<br />
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o<br />
a<br />
a<br />
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doan co. so. dai diˆn. Sau d´ c´c v` ng tiˆu biˆu du.o.c nh´m lai th`nh c´c nh´m v´.i phˆn tu.<br />
e<br />
o a u<br />
e<br />
e<br />
.<br />
.<br />
.<br />
.<br />
. dai diˆn nh´m v`ng), v` mˆi doan co. so. dai diˆn du.o.c dai diˆn bo.i<br />
˜<br />
`<br />
’ .<br />
’<br />
dai diˆn nh´m (phˆn tu .<br />
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o<br />
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u<br />
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e<br />
e<br />
.<br />
.<br />
.<br />
.<br />
.<br />
.<br />
.<br />
.<br />
. dai diˆn nh´m v`ng. Tiˆp d´, tiˆn h`nh ch´ th´ thu cˆng cho mˆt sˆ c´c doan<br />
`<br />
´<br />
´<br />
c´c phˆn tu . e<br />
a<br />
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o o a<br />
.<br />
. ´<br />
.<br />
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˜<br />
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’ .<br />
u ıch . o<br />
e<br />
a<br />
a<br />
a<br />
e<br />
o o e<br />
co. so. dai diˆn (tˆp mˆu), c´c doan co. so. dai diˆn m´.i c´ thˆ du.o.c ch´ th´ tu. dˆng du.a<br />
.<br />
.<br />
.<br />
.<br />
.<br />
.<br />
.<br />
ıch<br />
o<br />
o<br />
trˆn mˆ h` tu.o.ng th´ song mˆi tru.`.ng ([3]).<br />
e<br />
o ınh<br />
´<br />
´<br />
´<br />
´<br />
o o a<br />
Trong c´ch th´.c truy vˆ n, dˆi v´.i c´ch nhˆp d˜. liˆu truy vˆ n v` chiˆn lu.o.c truy t`<br />
a<br />
u<br />
a<br />
a u e<br />
a a<br />
e<br />
ım,<br />
.<br />
.<br />
.<br />
.`.i d`ng c´ thˆ truy vˆ n du.a v`o d˘c tru.ng thi gi´c v` ng˜. ngh˜ cu thˆ l` khi truy vˆ n,<br />
’<br />
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´ . a a<br />
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a<br />
a a u<br />
ıa, . e a<br />
a<br />
ngu o u<br />
.<br />
.<br />
.`.i d`ng c´ thˆ chon mˆt trong ba dang sau:<br />
’ .<br />
o e<br />
o<br />
ngu o u<br />
.<br />
.<br />
’<br />
´<br />
u a<br />
o u<br />
o e .<br />
o<br />
a . ’<br />
ınh, doan<br />
+ V´.i dang th´. nhˆ t, ngu.`.i d` ng c´ thˆ chon thˆng tin thi gi´c to`n cuc (anh t˜<br />
o .<br />
. a<br />
.<br />
. so., doan video) ho˘c thˆng tin thi gi´c cuc bˆ (c´c khung h` ch´<br />
’<br />
a<br />
o<br />
ınh ınh, c´c v`ng tiˆu biˆ u)<br />
a u<br />
e<br />
e<br />
co ’<br />
.<br />
.<br />
. a . o a<br />
.<br />
’ .<br />
’<br />
´<br />
’<br />
v` t`. kh´a thˆ hiˆn ng˜. ngh˜ dˆ truy vˆ n. Hˆ thˆng s˜ tra vˆ c´c doan co. so. (video) du.o.c<br />
a u o<br />
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u<br />
ıa e<br />
a<br />
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e ’ ` a<br />
e<br />
.<br />
. ´<br />
.<br />
.a v`o dˆ do di biˆt gi˜.a doan co. so. (video) kˆt qua v` doan video truy vˆ n, sau<br />
´<br />
´<br />
´<br />
’<br />
’ a .<br />
e<br />
a<br />
s˘p hang du a o<br />
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.<br />
.<br />
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.<br />
.<br />
.<br />
´<br />
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d´ du.a v`o t`. kh´a, hˆ thˆng s˜ loai c´c kˆt qua khˆng ph` ho.p o. bu.´.c tru.´.c.<br />
o . a u o<br />
e o<br />
e . a e<br />
u . ’<br />
o<br />
o<br />
. ´<br />
.i dang th´. hai, ngu.`.i su. dung chon thˆng tin thi gi´c to`n cuc, cuc bˆ v` t`. kh´a.<br />
+ V´ .<br />
o<br />
o<br />
a .<br />
u<br />
o ’ .<br />
.<br />
. a<br />
. o a u o<br />
.<br />
.a v`o t`., hˆ thˆng tra vˆ c´c doan video ph` ho.p vˆ ng˜. ngh˜ truy vˆ n, sau d´ hˆ thˆng<br />
´<br />
´<br />
` u<br />
’ ` a<br />
e<br />
ıa<br />
a<br />
e<br />
u .<br />
o e o<br />
Du a u e o<br />
.<br />
.<br />
.<br />
. ´<br />
.a v`o dˆ do di biˆt gi˜.a doan video kˆt qua v` doan truy vˆ n.<br />
´<br />
´<br />
´<br />
´<br />
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s˘p hang kˆt qua du a o<br />
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.<br />
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.<br />
.<br />
.<br />
.i dang th´. ba, kˆt qua truy vˆ n l` giao cua kˆt qua truy vˆ n chı du.a v`o t`. v` kˆt<br />
´<br />
´<br />
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+ V´ .<br />
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u<br />
e<br />
a a<br />
a<br />
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o<br />
a<br />
qua truy vˆ n chı du.a v`o thˆng tin thi gi´c.<br />
a<br />
.<br />
’<br />
´<br />
’<br />
ınh a o u u<br />
Muc hai b`i b´o l` c´c kˆt qua nghiˆn c´.u c´ liˆn quan. Muc ba tr` b`y tˆ ch´.c d˜.<br />
a a a a e<br />
e u o e<br />
.<br />
.<br />
´ u e<br />
´<br />
´. Muc bˆn tr` b`y c´ch th´.c truy vˆ n d˜. liˆu video sˆ. Muc n˘m tr` b`y<br />
´<br />
a<br />
o<br />
ınh a<br />
liˆu video sˆ<br />
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o<br />
ınh a a<br />
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.<br />
. a<br />
.<br />
. o<br />
’<br />
´<br />
´ a a o<br />
’<br />
kˆt qua thu.c nghiˆm. Muc s´u l` kˆt luˆn v` hu.´.ng ph´t triˆ n.<br />
e<br />
a<br />
e<br />
e<br />
a a e<br />
.<br />
.<br />
.<br />
.<br />
´<br />
’<br />
ˆ<br />
ˆ<br />
´.<br />
2. KET QUA NGHIEN CU U<br />
’<br />
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Hiˆn nay c´c hˆ truy vˆ n video sˆ chu.a thˆ d´p u.ng moi nhu cˆu cua ngu.`.i d` ng, nh`<br />
e<br />
a e<br />
a<br />
o<br />
e a ´<br />
a<br />
o u<br />
ın<br />
.<br />
.<br />
.<br />
’<br />
´<br />
´<br />
a<br />
a<br />
e<br />
chung c´c hˆ truy vˆ n video sˆ d˜ trai qua c´c giai doan ph´t triˆ n sau:<br />
a e<br />
a<br />
o a ’<br />
.<br />
.<br />
´<br />
´ . a u o a u ıch ’ o<br />
Trong giai doan th´. nhˆ t, viˆc truy vˆn du.a v`o t`. kh´a v` ch´ th´ thu cˆng cho doan<br />
e<br />
a<br />
u a<br />
.<br />
.<br />
.<br />
´ .<br />
` a<br />
’<br />
a<br />
ı<br />
u e<br />
video. C´ch tiˆp cˆn n`y khˆng kha thi vˆ m˘t th`.i gian v` chi ph´ khi lu.o.ng d˜. liˆu video<br />
a<br />
e a a<br />
o<br />
e .<br />
o<br />
.<br />
.<br />
´ .<br />
’<br />
o o o<br />
e<br />
e<br />
e<br />
a e o<br />
o<br />
t˘ng tru.o.ng v´.i tˆc dˆ nhanh ch´ng nhu. hiˆn nay. Tuy nhiˆn, hiˆn nay c´c hˆ thˆng truy<br />
a<br />
.<br />
.<br />
. ´<br />
.o.c d`ng rˆng r˜i trong thu.o.ng mai vˆ n dang su. dung c´ch th´.c truy vˆ n n`y<br />
˜<br />
´<br />
´<br />
’ .<br />
o<br />
a<br />
a<br />
u<br />
a a<br />
vˆ n video du . u<br />
a<br />
.<br />
. a<br />
´<br />
´<br />
’<br />
a e o<br />
ım e<br />
(v´ du nhu. c´c hˆ thˆng t` kiˆm cua Google, Yahoo,...).<br />
ı .<br />
.<br />
´<br />
Trong giai doan th´. hai, viˆc truy vˆ n du.o.c thu.c hiˆn du.a v`o nˆi dung, du.a v`o viˆc<br />
e<br />
a<br />
e<br />
a o<br />
a<br />
e<br />
u<br />
.<br />
.<br />
.<br />
.<br />
.<br />
.<br />
.<br />
.<br />
.<br />
˜<br />
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o<br />
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e<br />
e<br />
a<br />
a<br />
phˆn doan video th`nh c´c doan co. so., mˆi doan co. so. du.o.c biˆ u diˆn bo.i mˆt sˆ khung<br />
a<br />
.<br />
.<br />
.<br />
.<br />
.<br />
´<br />
’<br />
’<br />
a a<br />
a<br />
ınh<br />
a<br />
a .<br />
h` ch´<br />
ınh ınh. Truy vˆ n du.a v`o d˘c tru.ng thi gi´c to`n cuc cua doan co. so. ho˘c khung h`<br />
a<br />
.<br />
.<br />
.<br />
.<br />
.<br />
. c´c d˘c tru.ng vˆ m`u s˘c, vˆn, chuyˆn dˆng ([5, 14]). U.u diˆ m cua c´ch tiˆp cˆn<br />
’ o<br />
’<br />
´<br />
` a a<br />
´ a<br />
’ a<br />
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a<br />
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e<br />
e .<br />
ch´ nhu a a<br />
ınh<br />
.<br />
.<br />
’<br />
’<br />
´<br />
’ u e<br />
n`y l` c´ thˆ truy vˆ n trˆn co. so. d˜. liˆu video tˆ ng qu´t, khˆng phu thuˆc u.ng dung, tuy<br />
a a o e<br />
a<br />
e<br />
o<br />
a<br />
o<br />
o ´<br />
.<br />
.<br />
.<br />
.<br />
’<br />
´<br />
´<br />
´ e a<br />
e e a o<br />
o<br />
o<br />
nhiˆn khuyˆt diˆ m l` chu.a x´t dˆn c´c dˆi tu.o.ng d´ng vai tr` quan trong trong doan video,<br />
e<br />
e<br />
.<br />
.<br />
.<br />
`<br />
´ e e ˜ ’<br />
ıa ’ a<br />
dˆ ng th`.i chu.a vu.o.t qua du.o.c vˆ n dˆ vˆ lˆ hˆ ng ng˜. ngh˜ cua d˘c tru.ng thi gi´c, t´.c l` su.<br />
o<br />
o<br />
u<br />
.<br />
. a ` ` o o<br />
. a u a .<br />
.<br />
.o.ng dˆ ng vˆ d˘c tru.ng thi gi´c khˆng luˆn bao dam su. tu.o.ng dˆ ng vˆ ng˜. ngh˜<br />
`<br />
`<br />
` a<br />
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o<br />
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ıa.<br />
tu<br />
o<br />
e .<br />
o<br />
e<br />
. a<br />
.<br />
´<br />
´<br />
´<br />
u<br />
Giai doan th´. ba l` th`.i k` cua c´c hˆ thˆng truy vˆ n du.a v`o dˆi tu.o.ng ([2, 12]). C´c<br />
a o y ’ a e o<br />
a<br />
a o<br />
a<br />
.<br />
.<br />
.<br />
.<br />
<br />
30<br />
<br />
. .<br />
˜<br />
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NGUYEN LAM, LY QUOC NGOC, DU O NG ANH DU C<br />
.<br />
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.<br />
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dˆi tu.o.ng n`y du.o.c goi l` c´c dˆi tu.o.ng khˆng gian-th`.i gian. U u diˆ m cua c´c hˆ n`y l`<br />
o<br />
e<br />
.<br />
.<br />
. a a o<br />
.<br />
.<br />
.a v`o dˆi tu.o.ng, kˆt qua truy vˆ n ph` ho.p ho.n vˆ ng˜. ngh˜ dˆi v´.i<br />
´<br />
´<br />
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u .<br />
e u<br />
ıa o o<br />
cho ph´p truy vˆ n du a o<br />
e<br />
a<br />
.<br />
.<br />
’<br />
` u truy vˆ n. Khuyˆt diˆm cua c´c hˆ n`y l` phu thuˆc v`o u.ng dung d˘c th`, kh´ mo.<br />
´<br />
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’ a e a a<br />
o a ´<br />
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u<br />
o ’<br />
yˆu cˆ<br />
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e<br />
.<br />
.<br />
.<br />
.<br />
.<br />
’<br />
’ u e<br />
o<br />
a<br />
rˆng cho co. so. d˜. liˆu video tˆ ng qu´t.<br />
o<br />
.<br />
.<br />
´<br />
’ e<br />
’ e<br />
u<br />
Giai doan th´. tu. l` th`.i k` truy vˆn du.a v`o pha hˆ tri th´.c thi gi´c ([13]). Pha hˆ tri<br />
a o y<br />
a<br />
a<br />
u<br />
.<br />
. a<br />
.<br />
.<br />
.<br />
`<br />
`<br />
` a<br />
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a<br />
o<br />
o<br />
a<br />
ınh: tˆp c´c kh´i niˆm vˆ m`u, tˆp c´c kh´i niˆm vˆ<br />
a a<br />
a e<br />
e<br />
a a<br />
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vˆn v` tˆp c´c kh´i niˆm vˆ h` d´ng. Tˆp c´c kh´i niˆm n`y dˆc lˆp v´ a ´<br />
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giai doan ngoai tuyˆn, hˆ thˆng thu.c hiˆn viˆc liˆn kˆt c´c kh´i niˆm thi gi´c trong pha hˆ tri<br />
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.c thi gi´c v´.i c´c d˘c tru.ng thi gi´c cˆ p thˆ p cua doan co. so. (video). V` vˆy khi truy vˆ n,<br />
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.o.c liˆn kˆt v´.i d˜. liˆu video nh˘ m x´c dinh kˆt qua truy vˆ n. Ch´ng ta khˆng<br />
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thˆ liˆn kˆt moi ng˜. ngh˜ v´.i d˜. liˆu video sˆ, nhu.ng liˆn kˆt c´c kh´i niˆm thi gi´c v´.i d˜.<br />
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.´.c doan video ho˘c khung h` ch´ dˆ truy vˆn v` c˜ng khˆng cˆn phai ch´<br />
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.´.c nˆi dung video. C´ch truy vˆ n n`y c´ thˆ ´p dung cho co. so. d˜. liˆu video tˆ ng<br />
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qu´t. Tuy nhiˆn khuyˆt diˆ m cua c´ch tiˆp cˆn n`y l` dˆ ch´ x´c cua kˆt qua truy vˆ n<br />
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.o.c d`ng nhu. bu.´.c tiˆn loc, v` k`m theo k˜ thuˆt phan hˆ i t`. ngu.`.i<br />
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khˆng cao, v` vˆy n´ du . u<br />
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d`ng. Tuy nhiˆn k˜ thuˆt phan hˆ i t`. ngu.`.i d`ng d`i hoi ngu.`.i d`ng phai x´c nhˆn c´c kˆt<br />
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qua truy vˆ n d´ng dˆ qu´ tr` hˆ thˆng hˆi tu xay ra nhanh ho<br />
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.n, v` diˆu n`y khˆng phai l´c n`o c˜ng nhˆn du.o.c su. dˆ ng cam t`. ngu.`.i<br />
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Khao s´t qua c´c giai doan ph´t triˆ n cua c´c hˆ truy vˆ n video, ch´ ng tˆi nhˆn thˆ y<br />
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.a v`o d˘c tru.ng thi gi´c ho˘c chı du.a v`o t`. kh´a th` kˆt qua truy vˆ n<br />
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.a dat du.o.c nhu. mong muˆn, bo.i v` ban chˆ t cua d˘c tru.ng thi gi´c l` chu.a thˆ hiˆn du.o.c<br />
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dˆy du ng˜. ngh˜ cua thˆng tin thi gi´c v` ban chˆ t cua t`. kh´a l` chu.a lˆt ta hˆt nˆi dung<br />
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co. ban l` d˘c tru.ng thi gi´c v` d˘c tru.ng ng˜. ngh˜ V` vˆy ch´ng tˆi dˆ xuˆ t mˆt mˆ h`<br />
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.p d˘c tru.ng thi gi´c v` ng˜. ngh˜<br />
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truy vˆ n video kˆt ho a<br />
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3. TO CHU C DU LIEU VIDEO SO<br />
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´ a<br />
Phˆn n`y s˜ tr` b`y c´c n´t ch´ trong viˆc tˆ ch´.c, biˆu diˆn d˜. liˆu video sˆ nh˘ m<br />
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´n theo d˘c tru.ng thi gi´c v` ng˜. ngh˜a. Giai doan n`y gˆ m s´u cˆng<br />
ı<br />
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phuc vu viˆc truy vˆ<br />
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doan ch´<br />
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+ Phˆn doan tu. dˆng video sˆ th`nh c´c doan co. so..<br />
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+ Tao cˆ u tr´c phˆn cˆ p (khˆng chiu r`ng buˆc v` c´ r`ng buˆc theo chiˆu th`.i gian).<br />
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. so. dˆ h` th`nh bang muc luc (r`ng<br />
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+ R´t gon cˆu tr´c phˆn cˆ p, gom nh´m c´c doan co ’ e ınh a<br />
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` u th`.i gian) v` chı muc (khˆng r`ng buˆc theo chiˆu th`.i gian).<br />
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+ Ch´ th´ ng˜. ngh˜ cho tˆp hoc gˆ m c´c co. so. dai diˆn du.o.c tao lˆp o. c´c bu.´.c trˆn.<br />
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KET HO P DAC TRU NG THI GIAC VA NGU NGH˜<br />
IA<br />
.<br />
.<br />
.<br />
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D´ng g´p ch´ cua b`i b´o o. giai doan n`y l`:<br />
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.p phˆn cˆ p (Hierarchical Agglomerative Clustering (HAC)) c´ x´t dˆn yˆu tˆ<br />
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th`.i gian.<br />
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+ U ng dung d˘c tru.ng tu. tu.o.ng quan m`u (AutoCorrelograms) trong cˆng doan phˆn doan<br />
.<br />
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.<br />
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. so., dˆi ph´ tˆt v´.i viˆc dich chuyˆn dˆi tu.o.ng v` camera.<br />
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video th`nh c´c doan co<br />
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a a<br />
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liˆu video tˆ ng qu´t dˆ ng th`.i nˆu kˆt ho.p thˆm v´.i phu.o.ng ph´p ch´ th´ tu. dˆng (du.o.c<br />
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tr` b`y o. phˆn sau), n´ c˜ ng th´ ho.p cho c´c u.ng dung d˘c th`.<br />
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.o.c g´n nh˜n ng˜. ngh˜a tu. dˆng.<br />
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(muc luc, chı muc) c´ thˆ du . a<br />
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Cˆng doan n`y c´ anh hu.o.ng rˆ t quan trong dˆn hiˆu qua truy vˆ n. O dˆy, ch´nh tˆi<br />
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´t ho.p lu.o.c dˆ tu. tu.o.ng quan m`u v` giai thuˆt Watershed dˆ phˆn t´ tu. dˆng doan<br />
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video sˆ th`nh c´c doan co. so. ([8, 9]). Phu.o.ng ph´p n`y gi´p t˘ng dˆ ch´nh x´c (m´.c dˆ t`<br />
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.<br />
.<br />
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Da sˆ c´c phu.o.ng ph´p truyˆn thˆng phˆn doan du.`.ng cong sai biˆt du.a trˆn quan diˆ m<br />
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.<br />
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.`.ng cong du.o.c d` t` dˆ x´c dinh c´c dınh du.a v`o ngu.˜.ng (t´.c d` t`<br />
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chuyˆ n canh. Du o<br />
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.<br />
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` u doc cua du.`.ng cong sai biˆt v` doan co. so. du.o.c x´c dinh nhu. l` phˆn gi˜.a c´c<br />
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dınh n`y. Khuyˆt diˆm xay ra l` nˆu ngu.˜.ng qu´ b´ th` xay ra t` trang ph´t hiˆn du. v`<br />
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th´i hoc t´c dˆng v`o du.`.ng cong sai biˆt c´ t´c dung nhu. loc phi tuyˆn nh˘ m b´m s´t h`<br />
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.<br />
.<br />
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.`.ng cong sai biˆt gi´p loai b´.t c´c dınh ao dˆ d` t` doan co. so. theo chiˆu ngang<br />
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kˆt ho.p v´.i chiˆu doc trˆn du.`.ng cong sai biˆt ([8, 9]).<br />
e .<br />
.<br />
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Ta s˜ thiˆt lˆp du.`.ng cong sai biˆt v´.i dˆ do tu.o.ng tu. gi˜.a c´c khung h` theo lu.o.c dˆ<br />
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tu. tu.o.ng quan m`u ([4, 8]). Trong bu.´.c n`y, ta su. dung lu.o.c dˆ tu. tu.o.ng quan m`u thay<br />
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thˆ lu.o.c dˆ m`u nh˘ m kh˘ c phuc nhu.o.c diˆm vˆ t´nh cuc bˆ trong phˆn bˆ m`u cua lu.o.c dˆ<br />
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’ nh c´ lu.o.c dˆ m`u tu.o.ng tu. nhu.ng c´ thˆ rˆ t kh´c nhau) v` l`m lˆ r˜ sai biˆt tai vi<br />
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tr´ xay ra chuyˆn canh, nh˘ m ph´t hiˆn ch´ x´c ho.n c´c doan co. so.. D˘c tru.ng tu. tu.o.ng<br />
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quan m`u dˆi ph´ tˆt v´.i su. dich chuyˆn cua dˆi tu.o.ng v` su. dich chuyˆn cua camera.<br />
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3.2. Tao cˆu tr´c phˆn cˆp<br />
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Du.a v`o y tu.o.ng tao bang muc luc v` chı muc, ta ph´t biˆ u b`i to´n o. dang tˆ ng qu´t<br />
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.n, du.a v`o giai thuˆt gom nh´m phˆn cˆ p (Hierarchical Agglomerative Clustering (HAC))<br />
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dˆy, ta d` ng hai dang liˆn kˆt: liˆn kˆt phu thuˆc th`.i gian cho bang muc luc v` liˆn kˆt<br />
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.i gian cho bang chı muc. Thu.c chˆ t, cˆng doan n`y gi´p chuˆ n bi cho<br />
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cˆng doan gom nh´m c´c doan co<br />
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3.3. R´ t gon cˆu tr´c phˆn cˆp dˆ h` th`nh bang muc luc v` chı muc<br />
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Trong giai doan n`y, cˆn loai bo c´c n´t trung gian trong qu´ tr` tao lˆp cˆy phˆn cˆ p.<br />
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