3 2$%#&+"). /1!"-' (0*, †

 ††

 ††

 ††

Background scene identiﬁcation by character masking in news video
Ichiro IDE† , Reiko HAMADA†† , Shuichi SAKAI†† , and Hidehiko TANAKA††

8 9 Ô¹¨nª1ál³ÿýu¤¶pnþÏ\°qzl[QSÔpn~mwz¼å¶ï_mdz¥\êm¯|{iXzRíÁxoQÔÜnÎu~}ÂÀÒÙfemgnqqÿý
dzÕnÚÄlÃ÷wyt½n°X¶ï_}¯YhsmQÔçükn×}X|vz 4WU Who, Where,
When, What Vmó5bi®2dz¬}àbiXzRø­joQgn¬n¾©nhsnÔçüÐðmZXiìþklzÇúËßÃ÷nàkQ¾´nSÔmâýbh¾§£}ÅdzRÇúËß}¯Y
mWhyQSÔmÊòÔ\Ø]^¿z¡«\ X`k}®2bQÊò4}ó0bié¢4nrn
ÔæÝ3}ÿýdzã\àÃ÷næÝjWzR`n£QÊònÕµ¼ÖtÔæÝ3kbiùbhÇ±QÊò4nó0}¯|lXÇ±këbiQ7%[x 8%nÇúËßÌèn«Æ\¦x{QàÃ÷nûªÌ\»a{hRqhQînhsmºÓmÑßbhÍÇúõnî£[xQÔæÝ3nûªÌ\Çúmwylz`k\»a{QâýÇúmciæÝ3}ñ±ámÿýdz`kmwyQÛnÌè«ÆnèÌ\»²a{hR
77 ÔS SQ¶ï_QÔçüÐQ4ó
1.

6-./

1. 1 2ýðþjRõÁ ÍÖz9ßÓÐ¸æ Ñ>ñ×
9ðß³Ú Carnegie Mellon _ ïõ Informedia
AQ.&*7 [11] " ú7ù5ßjR6å1Bå/"Òlûÿ üæh«õ û¹ñ~6<# Õ!5ìàùðùßW cz9üæh«õ » ßjRm l=5)/7ð2 1 3`HLSÆhADÒD?¥ÅLc(¹"9 4Ibýü ÓÐù5ïßwRÎ7
Fig. 1 Concept of the indexing system considering]k"ÔÙùÿ ß0¯ 7ÀJ ]k"Ôcorrepondence with video content.
Ùùÿ » [10] 98 éºø vó9ìà
1. 2 ø$ñ5(ëì7õê£6 ÷ Ñ>7Ça~"ÔÙù5ßjRm í~6ÓÐqhñ×ôß©\z9wRÎ ûõ5)/7ð(¹"ÓÐù33ßwR Ûzqhñ×ì:Kå/jR"VíàÎ7 ]k"ÔÙùÿüæh«õÒ"xXù5ì©\z ß1 1 ûûí ßwR5)/7
àæh«õ]$7ù5 ßÒ ßÓÐ¸æ7ì ð(¹ ä 3ì5ßì! 4Wçéì
3ç When èêßé 8÷6ç When èêßé eñç Who èêßºÚÁØ¬µ¯ÀsÑ±Ïép"ç What èêè7Æ U8½ Îz@"Õìßä ]k 4ôæh«õ"Õí÷7"ÆðùÑ±È¬È¬¥¹¬´µ¯¨sÑ±Ï5ìà:Kå/jR ]ù5ß÷ U8 ¸æÑ"Ovû÷7 üK6ëß÷ í9Ä†

National††

InstituteofInformatics,

2–1–2

Hitotsubashi,

Chiyoda-ku, Tokyo 101–8430, Japan

Graduate School of Engineering, The University of Tokyo,
7–3–1 Hongo, Bunkyo-ku, Tokyo 113–8656, Japan+&(.*)$#/-' D–II Vol. J84–D–II No. 8 pp. 1–8 2001 , 8 %1ä·ÈöÞÉ6ô¸ ’101/8 Vol. J84–D–II No. 8

Fig. 22 LÅ6Hb¿L#¨

2
Hierarchical structure and term deﬁnition ofvideo.

v [6ë7Ôîà
¼Ó6 ß÷ Ò 9ð wRÎz@­ 3ì
5 %öß:Kå/jRm 0¯Rñ¨û÷7"ÔÙùß0¯Þb° Îz@ß ²Þ
bð &Â2v » xX7ßÎ2v2¼ » §qµu 3ì5¹Ùûà
1. 3 %4ðü
1 2 jR Ò9"ûûàjR ?PåG7Æ ?ñwR ØðÒ9øßwRz äV9?
PåG­"-L377Æàÿß-L37 ªäV~"(377Æà1 1 ûùÿÒ6 -L37
fZ6 æh«õ"Æ¥7ù5ìàÿßwRzáÎz äVû-L37­"-åS7ÆÞ:Kå/jR ïì5ßÎz9-åS æa ]kûà

Fig. 32 3 1Hj IKPR3`

Image contents analysis by character region
segmentation.

2v ÓÐûàùðùß÷ í9wRÎz@ßëô6wRL\7ù5 z@6ëß4W
í16 éß0¯ç Who èê7é&Âç Where èê
z@"Õíÿ ßwRm 0¯Þbç0¯Rè7
²Þb ä"°Õù5z@û¢Ññëàÿß
wRL\ Îz@"Õíä ßé 0¯ç Who èê7é&Âç Whereèê"Å´ Tû÷7 ß
2. BKP:LO389;EIN<D:92vñs 97ï!àþ÷6¼¹6 ß1 3 ûûí ßÞb _
2. 1
"ðù&
ÒßÞb° wRÎ z@ Õ! òøÎò98ñcv)¶"¾ÿûí90¯Þb
5òÿñßc8 `ø"ÔÙù5ßZ , ë çÞb" ­Þb7\Þbð9èñwR ýß@Q3* v°z9°ñ9Ø6ë2ÿà m Wåû&Øß0¯Þb7þY~ ²Þb7
Þb"°ùßÞb½ Îz@"Õíà
ùðùß:Kå/jR7 ß9 05y ;û
÷ í1ßé 0¯ç Who èê ù5 ßþ 
Ïä9ö$ û(¹x¢ g6ëÿßc
0¯Rñ_òô3÷7ñZìàþ ÿß:Kå/ û¹ñ<# Õ!5ìíî ß:Kå/wRwR Îz@"Õíä ß0¯R Wå"ÔÙù m 0¯ Þb"nùß5)/7ðÿÔÞb°ñÑ79àÿßþ í98 (¹m 0¯À7]k«õ¹ Õ!5ì
1ðß0¯7ìív ö¯ Wå"Jx7ùÿ  [10]àÿßé Õ^ç What èê ù5ßJ Ô"ù5ßc8ñ_òôX9!÷7 9 í _è92v » Wåû [2], [6]àþ÷6ß¼
ìà÷ í90¯R oÆùÿÞb° ß Ó6 é&Âç Where èê ûwRÎ"ÔÙùÒ v°z9@Q3*° wRÎz@ äÿæh«õ"2Âûä ¢Ñ79wRÔ­ ùò9ð2ÿßJ² Âû0¯R w 7ù5ß0¯Þb"ùÿ²Þb wRq
RqÝ µ i¥"ùßþ µu7ù5ß 4ô&Â2v » "x7ß2ä :Kå/wR"
:9z@ 2Â"^ûà
Ðìÿ2v2¼ §qµu"ûûà
0¯R WåßZkß0598"7ùÿß|°2. 2 )óîþ)óð 'z-L37°á :Kå/jR _è9Î2v
JC6ÿí9wRÎ z@"Õíÿ ß»Wåù [2], [6]ß1 1 Ò6éÕ^ç What èê 0¯Þb7²Þb"°Õû¢Ññëà
2

6ôTSÔmZ_zÊònó0mwzé¢nÇúËß

v ö$ äûæa" %ö÷7ñZìÿß
cvÝY% öâñ ß¨&Â ù5 ßwRqÝ7&Â7 ® ûiþBå/"Òlû÷7 Â2z6ë7ÌOøà¼¹6 ß÷ í981 4ôÌO 7 ß
²Þb wRqÝ7&Â ® ûöâ 
4ô&Â2v"Õ2ÿà÷í9f9öâ 4
2 4 ¢j S¤îHAG1Hj S¶#BRir6k
ô2v
»
ß¼Ó
ïõ2¼
í zFig. 4 Template for character region estimation fromfacial region.
Ã9öâ­"Ovùÿ 6ëà25ß_Ã9öâ­"]$7ûä ß·´ßß³êÝþ÷6ß:Kå/wRm 0¯ ßç 1 èÜÏ9!Á ~ðßY 2v » ñ¢Ñ796ë íà)¶m6ßç 2 è:Âðçiø÷7ñZìß7ì
3. 1 ú+2ýèøïûíé$íov 4òßÂå 6 z2ÂñÎ]9Þbn"ÓÐùß1 4 ûûí9ßÞb"wRqÝ7wRÎ7 ä«õ"Õí¹7ù
7ùÿ5SAPå7 0¯Þb"´vû 5 ß  7ù5ß±Îó"m-7ùÿe$Ê¶9 »"{Ðù5ÿàÞbn ßCarnegie 7wRqÝ ]k"-Ô2¼ð³z «
Mellon _ ïì5}øÿ:KåMO;37Rå |w6å1Bå/ û¹ [5] ßÅ¼
* ¬ã"Ðìÿ Face Detector [9] "ÓÐùÿà
8Ê"ÐìÿwR¸æ ô [4] 98ñëàùðùßÂ2z Ïä9*¤m6çiøwR ùðùß÷ 8Ð ïõô ß:Kå/ïì5ß% ovç ovç 2 èè ¢üù¾ jR í ©\zö$ç9 Àóè"]$7û&ÿøüßÞbñ:ùônø9ì÷7ß:Â Ø7 Ça~þ z´»ñ_9àð çi"Jx7ùÿ5SAPå7 {Ðñ6ò9Ò ß#ã9¯\ I6O 4ô©\zö¯ì÷7ñëßYm 2¼6 0 0¯Þb" þß]$°È"¦5ÄvùÿwRqÝ7wRAùÿ "Ðì5ìà÷ äß0¯Þb à Î ®"ÐìÿÎ2vñÕ!5òÿ vóüß
 ß¼Ò àðà_ 5 >*0Oy dd"cz9Î2v"Õí » 9ìàþ í
ù5sH6§÷ùÿ " !à9 c37ù5ß. ß¤tö|m wR7D
ÿ0ùß/1.' ïõ)J/1 0¯Þb ° Á±ðqÝ7Î ®"û » [8] "xÕ Äß2¼ ÐìÿLöâç 231 ¶è 3ì5 Xù5ìà÷ »6 ßücz9Ê £ÞbnñvªT9ô9Ìùß5SAPå7 {Ð® fÊ*M/1ª"±9ù5ïôàú fÊÞb°ß0 Aù736Õî *M/1ªm fÊ¡Õ 4òwR «4ûÿÿßüz °Õùÿµu"ÐìÿàDÁ± á÷"³êùßþ"jøý5ÒlùÿwRqÝªm6ßDÁ±ñá÷ùÿwR"*M
3. J>P:4;EHF3=20AMCG/1nûà÷ ßÇìØ!ýwR äùÿY% í ù5J² Wåû0¯Þb"°Õù DÁ±Ê¨ ¸æñs 9ñß¤tö|ñVí5²Þb wRÎß38 í9 ]$ñë czvóÿßÜÏ9¸æ8ñ&Â6ëðß"2vûàþ ÿ ß²Þb ø9ìà
wRqÝ7wRÎç&Âè7 ® ûicºßÄ {A *M/1nùÿ¬ãöâwR7
þ"Ðì¢Ññëàc wR ]ù5ß÷ wRqÝ  /Då4jR"kÐâ7ù
í9iþ  pùôÜ6ëàùðùß ÿ.JSO2v » [7] "xXù5ìà÷ »6:Kå/jR ïì5 ß zëì mz ßöJ ¬ãöâ"°áù5à{9*M/1±9"
xË yvÍÐ¤É°sÖ¿Î¡ÊuÈ®Ü£ Õ25ïòß§qöâ7*M/17 á÷ 4
Çs¼wÃÆ ÍÐ~¦² s ô°á"Õíà gÆz á÷ù5ìñßwRL
©ÄÒÌÛ¦²¸»Õ¢Ózts §½·}{ \ ]ûÎ2v6ëß¼Ó6xXû » sÔ³Ü£©ÄÒÌ~¶{sÂ×Ü£¾­ªÅÝ«
|sÂ×ÄÔ³Ü£{Ù{tí ßwR Ò9Î6 ×125ì9ìà
1

1

1%

3

ä·ÈöÞÉ6ô¸ ’101/8 Vol. J84–D–II No. 8
Table 1@#ùWTLÞl4

1
Numbers of images in the pre-classiﬁed
scenes.

ù00W
1H<Q 1HJA Ê00µ8 1 9 ©Âã221032
8 2 9 Ë©ù31
21
52
8 3 9 P1¼ù
11617
8 4 9 R$
623
29
8 5 9 beaY
231
0
231
CL
124
332
456
Ê00µ
425
392
817

Fig. 52 5 ùW3#Läï

Scene identiﬁcation procedure.

#ð 1 5 ûû  ß0¯Þb"°Õùÿ²Þ
b wRqÝ 4ô&Â2v"Õ2ÿâç 1 è ²Þb °Õâ
cv Îòß_òø 0¯RñWåûwR 3ì5ß
0¯Þb"Aûàç 2 è wRqÝ nâAùÿ0¯Þb"°Õùß²Þb wRqÝ"nûà0¯RñWåù9ì&Ø ßwRL\"
²Þb7ûà
ç 3 è á÷ â
2v"ÕíwR7iþBå/m wR 6ßqÝ4òá÷" ûà
ç 4 è &Â2vâá÷ñ%Z ñ2ÿöâ &Â ûiþð2v"Õíà
3. 2

4.

AMCG@?

30
Ym ß&Â2v2¼"Õ2ÿä )¶ 3ì5
à
4. 1. 1 ÐìÿwR
2¼ ß2 3 _9ù mz åwùÿ 15° LÚ:Kå/jR 20 ¼m c­ß817 -L37
E ?PåG wR"Ðìÿà&Â aì 2v8 Þ_"rÿ ßìô3ð v ¨
&Â"m- Iß¬ãöâ7ù5 ÓÐ7§q ä:zv ÿç è ßöJ Æò :z"v5ïìÿà©\z ß
ç 1 è Ñ0
ç 2 è Úy&
4. 1

4@ ZxrfxLÏLû¹
È00Z
û00¹
²¡)  320×ê 240 p[c~×Qü)
24bit8 R,G,B ü 8bit 9á¡)
15 q6vTBq6vë
JPEG
ojYë
JA8 =ë9
2
Table 2 Conditions of video capturing.

ç 3 è ¹yº&ç 4 è »w
4 á Ú¹ ®û¨&Â7ß
ç 5 è /1.'
"Bvùÿà¦ 1 &Â½ öâ5"ß0¯R Ê¿ °õ5ûûà9ïßwRm 0¯ñ 3 06JÎò _òô325ì&Ø é0¯ëê79ù5
Þb° ]$7ùßþY~ é0¯9ùê7ùÿàÿßwR $9Q+=6'"Ðì5åwùÿ"ß=6')JA2JCå8"Ðì5àuÄ JPEG
U ?PåGfZ66%.1Onùÿà)JA
2J ä #ã9)¶"¦ 2 ûûà
4. 1. 2 wRqÝÏä9wRqÝñWåû9ð6ß¼2¼6 ß
Ym 2 t + û³zqÝ"Ðìÿâç 1 è +Â¨°¬ç</7+MGè
wRm >*0O + ÂÖ °¬à¼2¼6 ß
RGB ª"H± 64 °ùÿ+@Q3*½ Ö"ÿÿß64 ú½B*7O7ù5¦Âøà
ç 2 è +£¨°¬ç,NQ+MGè[1]wRm cv¡ÕÕÿ>*0O + NØý ÂÖ °¬à¼2¼6 ßRGB ª"H± 16 °ùÿ+@Q3* NØý½ ¡Õ 1æ4 Ö"ÿÿß
ç 16 × 16 × 4 = è1,024 ú½B*7O7ù5¦Âøà
9ïßRGB ª +@Q3* ° Ym ý25Õ2ÿâ

6ôTSÔmZ_zÊònó0mwzé¢nÇúËß

2 6 ünbk\|vHü^}\|vLÍ

Fig. 6

Diﬀerence between color histogram and correlogram.



2 7 1Hj IL^VKPRkß)A

Fig. 7

Similarity comparison with and without character region segmentation.

öâ á÷%Z n Zm :ñv5"FÿØàµuz n = 1 h ßàá÷ù5ì&Âñ:6ë2ÿ
FØ"ûûà÷÷6ß0 <= R, G, B <= N − 1ßN = 256ç+
4. 2
3 
8bit èßn = 16ç+,NQ+MG &Øèßn = 64ç+
¼z ßY% 2¼)¶ 7 ß1 5 ûù</7+MG &Øè6ëàÿ  252¼"Õíñß©\z9 "YÚ6 1 6 ûûí9Þ_ñëß</7+M m ûà
G wRL\ E*Q9+ázq"ß,NQ+MG ç 1 è ²Þb°Õâ
F*Q9q"jûà÷ qÝ"âÐù é0¯ëê öâ 3ì5ßÆò 0¯Þb"AÿÔË ßÆò &Â 2v ä ß+áz9 ûà/1.' )J/1 ßFace Detector 7
qñ_ò9 ñð 97ï!÷77ßÚ 1 4 5SAPå7 Aùµu"ÐìàqÝ 81 Þ_ 2v8 i¥"ºÿ ç 2 è qÝnâ6ëà
²Þb +</7+MG7+,NQ+MG Ú6"
Ym 2¼6 ßä qÝ"×ù5Ðì5§ à0¯ÞbñWåù9õ ßwRL\"²q"Õ25ìñßZô &Â ß&Â½ Þb79ûà·´ß Î% ÿ ßY qÝ"5ß ç 3 è á÷§qâØz Ðì¢Ññëà§qöâ7¬ãöâçLöâð§qöâ"ìÿö
4. 1. 3 á÷§q8â Øè á÷ §q"Õíà
Y% 2 3 qÝB*7O äí" û ç 4 è &Â2vâá÷§q87ù5ßúý6í9ßB ç 3 è"Löâ ]ù5PÈ {ÐùßBv&Â´ :*7OF , F  θ Í¿çhbâ0æ1è"Ðìÿâ Ö"³ûà3ßiþBå/m L N Å öâ 3ì5ßü"§qöâ7ùßë N − 1 ÅF · F
F 7F á÷ ≡ cos θ =(2)öâ"¬ãöâ79ù52vùÿ:Ö"³ûà| F || F |9ïß1 7 ûûí ßç 2 èðç 4è Ô ï
4. 1. 4 2v8§q8
ì5ß0¯Þb° Íu"ºÿ ßé 0¯ëêöâ ]ù5ß0¯Þb Aù"Õ!ü w&Â2v8 §q ëÿßYm vûí
9:Ö"Ðìà2ä &Â2v ä ßàá RL\6 ²ý5Õ2ÿà÷ í ù5ßYm 3 t á÷§q)¶6
÷ù5ì&Âðß%Z n Zm v5"F&Â"2vµu7ûÿß÷ ð¥ &Â2v8 2 t wRqÝ 3ì52¼"Õ2ÿâñûøà• á÷§qâ• :Öç n = 1, 3, 5, 7, 9 èâ– 0¯Þb°"Õ!9ì&ØçÒ »ãµu
Bv&Â UûL§qöâ í1ßiþBå/m+M?m6 “w/o segmentation” 7¦è+@Q3* ≡ R + G × NN + B × N × n (1)
2

3

1

1

2

1

2

1

2

2

5

ä·ÈöÞÉ6ô¸ ’101/8 Vol. J84–D–II No. 8
100%

Identification Rate

95%

Histo, w/o segmentation
Histo, with only segmentation
Correlo, with segmentation

Histo, with segmentation
Correlo, w/o segmentation
Correlo, with only segmentation

90%
85%
80%
75%
1

3

5
Top n

7

9

2 8 ùW3#·8ÊA58,e 9Fig. 8Fig. 9

Scene identiﬁcation rate (n=1, histogram).

Overall scene identiﬁcation rate.

– 0¯Þb°"ÕìßL¬ãöâ7 á÷"§qùÿ&ØçxX »ãµu +M?m6 “withsegmentation” 7¦è
– 0¯Þb°"Õìß¬ãöâm 0¯ÞbñWåû "§qöâá¬ãöâ7ù5§q
ùÿ&ØçxX »ãµu +M?m6 “with only
segmentation” 7¦è
• wRqÝâ
– +</7+MG– +,NQ+MG
4. 3
3ÿ÷î581 8 ß§q ÿ Bvùÿ¦ 1m &Âç 1 èðç 5 è 2vµu"QØù5§qùÿ+M?6ëà÷ µuðßYm ÷7ñÃîâ• n ñøì7ò ß,NQ+MG </7+MGà_6 1%yÜìµu"ûùßn ñ_òô9 3ßà_6 2%y ¯Îñºà÷ ß,NQ+MG ¡' á÷ùÿwR7 á÷ñ×ô9 ß!üð9µ ©6ëß</
7+MG6 þ  81ñë÷7"ûù5ìà÷ 81 ß4.1.2 6ÿÚ6 F*QáE*
Q981ðDÁ6òà• xX »6ë0¯Þb°Õ ß2%ð
3% 8Î%ñàø ß¬ãöâm 0¯Þbñ½ÒWåù9ì "ìÿá÷§q µuß7%ð 8% 8Î%ñºÿàÉ6 µuðß0¯Þb Wåþ  wRqÝ7ù5ÔÙû÷7ñÑ6ë÷7ñûÝøÿàú ßwRqÝ7ù5+</7+MGëì +,NQ+MG"Ðìÿ&Øßn " 1 ëì 3 Bvù
5§qùÿ&Ø ïõß
ç 1 è Ñ0ç cabinet èçß2 è
6

2 9 ùW3#·88,e8 n = 1 91nbk\|v9

2 10 ùW3#·88,e8 n = 1 91^}\|v9
Fig. 10

Scene identiﬁcation rate (n=1, correlogram).

2 11 ùW3#·88,e8 n = 3 91nbk\|v9
Fig. 11

Scene identiﬁcation rate (n=3, histogram).

2 12 ùW3#·88,e8 n = 3 91^}\|v9
Fig. 12

Scene identiﬁcation rate (n=3, correlogram).

6ôTSÔmZ_zÊònó0mwzé¢nÇúËß

Úy&ç parliamentèßç 3 è¹yº&ç press conèßç 4 è»wç court èßç 5 è/1.'ç studio èß
Bv&Â´ 2v8"1 9ð1 12 ûûà
ÿß+M?m ßBv&Â½ öâ5"H+M?
6]5¦ûù5ëà÷ µuðYm ÷7ñÃîâ• QØ§q6ÿí ßxX » ÊÍ8ñ
¼z ûøÿàùðùß&Â 25ÊÍ8Þ_ñºà• +</7+MG7+,NQ+MG &Â
25ÊÍ8 Þ_ñºà÷ðß0¯Þb°ÕÐìwRqÝ Ê
Í8 ß]$7û&Â _9÷7ñ°ðà÷÷6ß&Â½ q ßçiù5ì(HM û¯Ôz6ÉçBk6ò&áðý98èß¨&Â ïì5ß÷ í96É&ÂÇÊ Ïä9wRzq ßwRz9|° ¿ò6ò9ì\6cv µ"ûû7ï!à• &Â2v8 ïïð öâ5 ]5âù5ìà%Z n ¶ á÷-L37 v5"F&Â 4
ì52v"Õ2ÿÿß÷ ¯Î  n = 3 &Ø
ç1 111 12 è »p6ëà¬ãöâ Ãñ_
òôZÏ6ë8ßZô á÷öâñWåûÖñ×ô9 ü6ëßÃ6ZÏ8 uìöâ­"Ðì5ßá÷%Z n Z v5":ùì&Â
6F÷7 Ü6ëà
ferenceÞbñAø÷7ðß0¯Þb ²Þbc­ñ5ùí ß²Þb &Â2v
_òôi¥ù9ì7Ôîà
5.

7 1 5

¼Ó6 ß:Kå/jR üæh«õÒ c­7ù5ß²Þbð0¯Þb"°Õù5&Â"2vû »""xùÿàxX » ß:Kå/jR ïì5ßv &Â ¨û7ìíq"ÓÐùßö
J æh«õù5ïìÿöâ7 á÷§q 2v"Õí 6ëà
§q2¼7ù5ß2ä :Kå/jRm 817-L37 ]ù5ß0¯Þb °Õñ:ùôÕîÿ7ìíJx m ÷ »"{Ðùÿ7÷ ß2Ðs
93 2v8"ûùßÞb° 69ôß0¯
Wåü\wRqÝ7ù5²ý5ÔÙû÷7ñ
Ñ6ë÷7ñûÝøÿà9ïß2¼ ïì5ß
0¯Þb Aù 9 0 6Õ2ÿ ßv
ÜÏ9)¶m6 Þb"7ùÿf95SA
På7 {Ð ünñs6ëßÒ ÷°È ïõÑM /} ßcz9üns 9 7ï!àcº6ßöJ Bvùÿ&Â´ §q ïì5ßYm í ÛÉ¸ Íjñëø~ñGìøÿâ
• Bv&Â½ q"Üô¦ûwRqÝñ
_9ß®5 qÝ"«ò6NØ!ý5Ðì¢Ññëà ¬ãöâ­ðöJ 5ïôY% 2¼ ïì5 ß0¯Þbñ:ùô°Õ6ò ÷7ñÔîà• &Â2v8ñöâ5 ]5  âû¯
ÿ&Ø"Ovùÿñß2ä à :ùìAùÎ ë÷7ðßÏä9*¤ ]kù °9ÿû÷7Zìàÿ ¾g ßç 1 èÞb¸ß
ç 2 èÞb Ë¸ß
ç 3 è1 4 5SAPå öâ"¸ûÿ ßöâ5"ð5Ã6Sû¢Ññëà
7 {Ð ÿß _´6òàç 1 è Þbn» 8 [Wûñßç 1a è:Â69ì&Øßç 1b è ùðùù ßöâ5"Sû÷7 &Â · _òøñøì&Øßç 1c è!ÁñWì&Øß ÿ ´ß umñ·øÿßJÖ öÿí9
«õ"Ðì5Ïä9wRqÝ"û¢Ññû¯Îñà÷ í1ß
ç 1bèç 1c è&Ø ²Þbð°Õù9ô7i¥ 9ì7ï ëàFace Detector [9] ìÐ"{cù5mø2ÿß!ñßç 1a è &Ø xX » 2vñÿûs8ñ×ìàú ßç 2 è &Ø Ë250¯Þb Henry Rowley í 7ûà!
1ñAø5ßË¸ùÿÞb Zk_òø[1]J.
Huang,S.
R.
Kumar,
andR. Zabih, “Image Inú`6²Þb wRqñ°7 Ça9ìà
dexing Using Color Correlograms,” Proc. IEEE Conf.
cºßç 3 è &Ø ß:ÂÎò î769ì7òç
on Computer Vision and Pattern Recognition ’97,
òrÀ 7ò ;úñß1 4 5SAPå7ñ:Â
pp.762–768, June 1997.
Îò î76ëÿß0¯Rñ7à_[2] äp1ÓSÄÖ1C'nÙ1'?1“`zgkIk
7

ä·ÈöÞÉ6ô¸ ’101/8 Vol. J84–D–II No. 8
K¤F>MLâ/&ÒD?äR1” ýq8 D-II 91
Vol.J82-D-II1No.101pp.1543–1551, Oct. 1999.
[3]

 *9 ç;fè
K 10 *3Á3(ÙúP2K 12 0Á´»«(¦Á ÃçØ%i2
çØ8Á92½Ð0 Ã:Ø%Ð1
4Sìþ°2N»«2úPðd

I. Ide, R. Hamada, S. Sakai, and H. Tanaka, “Semantic Analysis of Television News Captions Referring
to Suﬃxes,” Proc. Fourth Intl. Workshop on Infor-

2

mation Retrieval with Asian Languages (IRAL’99),

YS7E1“ 5¿KPRºÒHCL9)A1” úðq1Vol.401No.31pp.886–898, March 1999.
[5] ³ ' £ E 1 . í1G'  > 1; <ON1“÷¿KPRj6es6bLºÒ1” úðq1Vol.331
pp.37–42, Nov. 1999.

[4]

No.11

[6]

1pp.1373–1383, Nov. 1992.

Y. Nakamura, and T. Kanade, “Semantic Analysis
for Video Contents Extraction –Spotting by Association in News Video–,” Proc. Fifth Intl. Multimedia

X0a1Ì.01Ñ38E1“ÞlSb=D`6
IkKPRÒD?äR1”  5 ý7úPwjUT`tqJè1pp.53–60, Dec. 1999.
[8] ÿ0]1É¯_ý10g4“H¿L²¡9
j6es6bK¤F>dLÝN1”  4 ý7úPwjUT`tqJè1pp.127–132, Dec. 1998.
Conf. (ACM Multimedia’97), pp.393–402, Nov. 1997.

[7]

[9]

H. D. Rowley, S. Baluja, and T. Kanade, “Neural

Network-Based Face Detection,” IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.20, No.1,
pp.23–38, Jan. 1998.
[10]

S. Satoh, Y. Nakamura, and T. Kanade, “Name-It:
Naming and Detecting Faces in News Videos,” IEEE
Multimedia, Vol.6, No.1, pp.22–35, March 1999.

[11]

H. D. Wactler, A. G. Hauptmann, M. G. Christel,
R. A. Houghton, and A. M. Olligschlaeger, “Complementary video and audio analysis for broadcast newsarchives,” Commun. ACM, Vol.43, No.2, pp.42–47,
Feb. 2000.

8 K6 2000 6 9 ¸ 30 4åD12001 6 1 ¸ 31 4ÎåD 9ò ô, ç:fè
K 6 *3Á3(Ù2K 8 0Á´»«úPÁ ÃçØ%i2K 12 0»«(¦Á Ã:Ø%i2:Ø8Á
9206PQËfúP»«ñóä2â
¾¿ðd1-ÊwjUTðdK°USàE
G=R2K 7  51 úPðdËômøåø21Á71úPðd1ACM 28

6ò ô ç:fè
ö 56 *3d3úP2ö 61 0Á´»«úPÁ \%i2Á
:Ø206Á±§ì(Ù§ìÊ»«ñ5ñ2@L¡K 374 MËu_fy6cg
hÁõr»«1K 576RWC L
oT6Zi[fx»«ãã!2K 8710 
8(Ù3úPÁ´ó®æ2K 10 PQ*¬Á´»«ó®æ2µÕ¥`biv<12KT6Zi[fx1Loðd1b]ay6}\[1u~fwjUTJIL»«
KéÞ2K 2 úPðdqJø1K 3 4S IBM ø1K
7 Úìø1K 7ICCD Outstanding Paper Award JIå
ø2úPðd1IEEE1ACM 2 ö ç:fè
ö 40 *3Á3(ÙÁ2ö 45 0Á´»«:Ø%i2Á:Ø206*¬ÁFÇÛ2ö 46 0ó®æ2
ö 62 PQ0®æ1½Ð0Á´»«®æ2@L¡ö 53754 ly6{6[Úfª®æ2µÕ¥T6Zi[fx1Loðd11Á71wjUTðd1â ¾¿ðd1IÔð
d1CAD +L»«K°USàEG=R2ò: =mVu^py6e;1: úP"ý`biv;1­ò:µÕ¥T6Zi[:dqkWXTÜÀT6Zi
fx;1: VLSI ^py6e I1II;1[fx;2“New Generation Computing” Oè!2úPðd11Á714SdqkWXT1IEEE1ACM

2