Pregled bibliografske jedinice broj: 591080
Parallel Processing for Combined Intra Prediction in High Efficiency Video Coding
Parallel Processing for Combined Intra Prediction in High Efficiency Video Coding // Proceedings - International Conference on Image Processing, ICIP 2011 / Lagendijk, Inald ; Moulin, Pierre (ur.).
Brisel: Institute of Electrical and Electronics Engineers (IEEE), 2011. str. 3489-3492 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 591080 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Parallel Processing for Combined Intra Prediction in High Efficiency Video Coding
Autori
Mrak, Marta ; Gabriellini, Andrea ; Flynn, David ; Davies, Thomas
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings - International Conference on Image Processing, ICIP 2011
/ Lagendijk, Inald ; Moulin, Pierre - Brisel : Institute of Electrical and Electronics Engineers (IEEE), 2011, 3489-3492
ISBN
978-145771303-3
Skup
2011 18th IEEE International Conference on Image Processing
Mjesto i datum
Bruxelles, Belgija, 11.09.2011. - 14.09.2011
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Video Coding; Intra Prediction; Openloop Prediction; Parallelization
Sažetak
Advanced intra prediction is one of the key components in highly efficient video coding since it reduces the bit-rate of the most costly intra frames. Combined Intra Prediction (CIP) is a novel tool that takes into account well established directional prediction from neighboring blocks, as well as local mean prediction from current block. In this way, it reduces bit-rate by further exploiting spatial redundancy. This paper proposes an implementation that will overcome its potential limitation – limited parallelization capabilities. In order to make it more computationally parallelizable, adaptive open-loop prediction templates have been designed. Experiments have been performed which show that the proposed design preserves coding gains introduced by CIP, while providing a solution for more parallelizable, and therefore faster, implementations.
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)