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
Deep Learning-based Point Cloud Geometry Coding with Resolu..:
, In:
2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)
,
Guarda, Andre F. R.
;
Rodrigues, Nuno M. M.
;
Pereira, Fernando
- p. 1-6 , 2020
Link:
https://doi.org/10.1109/MMSP48831.2020.9287060
RT T1
2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)
: T1
Deep Learning-based Point Cloud Geometry Coding with Resolution Scalability
UL https://suche.suub.uni-bremen.de/peid=ieee-9287060&Exemplar=1&LAN=DE A1 Guarda, Andre F. R. A1 Rodrigues, Nuno M. M. A1 Pereira, Fernando YR 2020 SN 2473-3628 K1 Geometry K1 Visualization K1 Three-dimensional displays K1 Scalability K1 Transform coding K1 Encoding K1 Standards K1 point cloud coding K1 deep learning K1 scalable coding K1 resolution scalability K1 interlaced sampling SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/MMSP48831.2020.9287060 DO https://doi.org/10.1109/MMSP48831.2020.9287060 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)