Pregled bibliografske jedinice broj: 669389
Adaptive transform skipping for improved coding of motion compensated residuals
Adaptive transform skipping for improved coding of motion compensated residuals // Signal processing. Image communication, 28 (2013), 3; 197-208 doi:10.1016/j.image.2012.11.007 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 669389 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Adaptive transform skipping for improved coding of motion compensated residuals
Autori
Gabriellini, Andrea ; Naccari, Matteo ; Mrak, Marta ; Flynn, David J. ; Van Wallendael, Glenn
Izvornik
Signal processing. Image communication (0923-5965) 28
(2013), 3;
197-208
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Coefficient scaling ; Discrete cosine transform ; High efficiency video coding ; Transform skip
Sažetak
New generations of video compression algorithms, such as those included in the under development High Efficiency Video Coding (HEVC) standard, provide substantially higher compression compared to their ancestors. The gain is achieved by improved prediction of pixels, both within a frame and between frames. Novel coding tools that contribute to the gain provide highly uncorrelated prediction residuals for which classical frequency decomposition methods, such as the discrete cosine transform, may not be able to supply a compact representation with few significant coefficients. To further increase the compression gains, this paper proposes transform skip modes which allow skipping one or both 1-D constituent transforms (i.e., vertical and horizontal), which is more suitable for sparse residuals. The proposed transform skip mode is tested in the HEVC codec and is able to provide bitrate reductions of up to 10% at the same objective quality when compared with the application of 2-D block transforms only. Moreover, the proposed transform skip mode outperforms the full transform skip currently investigated for possible adoption in the HEVC standard.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
036-0982560-1643 - Inteligentno određivanje značajki slike u sustavima za otkrivanje znanja (Grgić, Mislav, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Marta Mrak
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- GeoRef
- INSPEC
- Zentrallblatt für Mathematik/Mathematical Abstracts