I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Detecting events by clustering videos from large media data..:
, In:
Proceedings of the 2nd ACM international workshop on Events in multimedia
,
Makkonen, Jarmo
;
Kerminen, Riitta
;
Curcio, Igor D.D.
.. - p. 9-14 , 2010
Link:
https://dl.acm.org/doi/10.1145/1877937.1877942
RT T1 <cTitle>Proceedings of the 2nd ACM international workshop on Events in multimedia</cTitle>: T1 <Title>Detecting events by clustering videos from large media databases</Title> UL https://suche.suub.uni-bremen.de/peid=acm-1877942&Exemplar=1&LAN=DE A1 Makkonen, Jarmo A1 Kerminen, Riitta A1 Curcio, Igor D.D. A1 Mate, Sujeet A1 Visa, Ari PB ACM YR 2010 K1 event detection K1 layered clustering K1 media database K1 missing data compensation K1 video clustering K1 Information systems K1 Information systems applications K1 Multimedia information systems K1 Multimedia databases K1 Information retrieval K1 Retrieval tasks and goals K1 Clustering and classification K1 Data mining K1 Clustering SP 9 OP 14 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1877937.1877942 DO https://dl.acm.org/doi/10.1145/1877937.1877942 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
