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
Enabling low bitrate mobile visual recognition : a perfo..:
, In:
Proceedings of the 21st ACM international conference on Multimedia
,
Su, Yu-Chuan
;
Chiu, Tzu-Hsuan
;
Chen, Yan-Ying
.. - p. 73-82 , 2013
Link:
https://dl.acm.org/doi/10.1145/2502081.2502110
RT T1 <cTitle>Proceedings of the 21st ACM international conference on Multimedia</cTitle>: T1 <Title>Enabling low bitrate mobile visual recognition : a performance versus bandwidth evaluation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2502110&Exemplar=1&LAN=DE A1 Su, Yu-Chuan A1 Chiu, Tzu-Hsuan A1 Chen, Yan-Ying A1 Yeh, Chun-Yen A1 Hsu, Winston H. PB ACM YR 2013 K1 bitrate K1 mobile image recognition K1 multi-modal fusion K1 thumbnail image K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Object recognition SP 73 OP 82 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2502081.2502110 DO https://dl.acm.org/doi/10.1145/2502081.2502110 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
