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Bachelor of EngineeringIn

Image Processing Techniques For Video

Content Extraction

Submitted to the faculty of EngineeringNorth aharashtra !ni"ersity# $algaon%

In &artial fulfillment of requirements for the degree of 

 

Submitted By

Patil Sonali S%

 !nder the 'uidance of 

r% (% )% Patil

)EP*+TENT ,F C,P!TE+ EN'INEE+IN' 

S.S.V.P.S.’s B.S. DEORE COLLEGE OF ENGINEERING, DHULE.200 ! 200"

Com&uter Engineering

#

SEIN*+ +EP,+T

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$ Se%tembe& 200 Patil Sonali S%

B%E% Com&uter Seminar

Index

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Cu&&e(t Rese+&*/ +b)ut Vide) I(de3i(- 4 Ret&ie5+6

7 B+si* Reui&eme(ts

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Im+-e P&)*essi(-

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B.E. C)m%ute& Semi(+& 

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Common Image Processing

techniques 

; )ithering

; Erosion

; )ilation; ,&ening

; Closing

; Filtering

; Segmentation

; ,b.ect +ecognition

":'8$ Se%tembe& 200 P+ti6 S)(+6i S.

B.E. C)m%ute& Semi(+& 

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Basis of Video Processing

;   Content of )igital Video

Shot )etection

/ey Picture Selection

Feature 'eneration

,b.ect Extraction

:'8$ Se%tembe& 200 P+ti6 S)(+6i S.

B.E. C)m%ute& Semi(+& 

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Current +esearch about Video

Indexing and +etrie"al

;   Video Parsing

 > Shot )etection in "ideo &arsing

 > /ey Picture Selection in "ideo &arsing > Feature 'eneration in "ideo &arsing

7:'8$ Se%tembe& 200 P+ti6 S)(+6i S.

B.E. C)m%ute& Semi(+& 

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Current +esearch about Video

Indexing and +etrie"al

; Video Indexing and +etrie"al

0 )escri&tion

 > Exam&les of some image &rocessing systems

; ,b.ect +ecognition and otion

Trac-ing

8:'8$ Se%tembe& 200 P+ti6 S)(+6i S.

B.E. C)m%ute& Semi(+& 

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Basic +equirements 

Video )ata odeling 

$:'8$ Se%tembe& 200 P+ti6 S)(+6i S.

B.E. C)m%ute& Semi(+& 

Fi&st St+-e i( Vide) D+t+ #d+%t+ti)(? D+t+ @)de6i(-

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Basic +equirements 

Video indexing

0Need of "ideo indexing

0(igh le"el indexing

01o2 le"el indexing

0)omain s&ecific indexing

Video data anagement

9:'8$ Se%tembe& 200 P+ti6 S)(+6i S.

B.E. C)m%ute& Semi(+& 

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Image Processing Techniques For

Video Content Extraction 

; Tool-it o"er"ie2 

; Tem&oral segmentation tools 

; Cut detection ; 'radual transition detection

 > T2in0Com&arison algorithm

 > Edge-Com&arison algorithm

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B.E. C)m%ute& Semi(+& 

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Image Processing Techniques For

Video Content Extraction 

; Camera o&eration detection  >  30ray based method

; 1ighting conditions characteri4ation 

; Scene segmentation >  +egion0based segmentation

 >  otion0based segmentation

 >  Scene and ob.ect detection

 >  Ca&tion extraction

; Edge detection

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B.E. C)m%ute& Semi(+& 

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;  Videocel a&&lications  Video bro2ser

 5eather)igest

Ne2s analysis

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;  C,B+* odel

':'8$ Se%tembe& 200 P+ti6 S)(+6i S.

B.E. C)m%ute& Semi(+& 

Video sequences 

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;  C,B+* odel

'":'8$ Se%tembe& 200 P+ti6 S)(+6i S.

B.E. C)m%ute& Semi(+& 

Video shots

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':'8$ Se%tembe& 200 P+ti6 S)(+6i S.

B.E. C)m%ute& Semi(+& 

 Principal color detection- Detected player  

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B.E. C)m%ute& Semi(+& 

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'8:'8$ Se%tembe& 200 P+ti6 S)(+6i S

B.E. C)m%ute& Semi(+&