Pregled bibliografske jedinice broj: 307453
Towards Optimised Context Selection in Scalable Wavelet Based Video Coding
Towards Optimised Context Selection in Scalable Wavelet Based Video Coding // Proceedings of the 15th European Signal Processing Conference, EUSIPCO 2007
Poznań, Poljska, 2007. str. 1412-1416 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 307453 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Towards Optimised Context Selection in Scalable Wavelet Based Video Coding
Autori
Žgaljić, Toni ; Mrak, Marta ; Izquierdo, Ebroul
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 15th European Signal Processing Conference, EUSIPCO 2007
/ - , 2007, 1412-1416
ISBN
978-83-921340-2-2
Skup
15th European Signal Processing Conference, EUSIPCO 2007
Mjesto i datum
Poznań, Poljska, 03.09.2007. - 07.09.2007
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
entropy coding; scalable video coding
Sažetak
The effectiveness of arithmetic coding in image and video compression depends on probability estimation of symbols to be encoded. Considering context in which these symbols occur can lead to improved compression. In wavelet-based coding same contexts are usually used for all wavelet subbands of same type across different scales of wavelet transform. Efficiency of different strategies for context selection has not yet been fully analysed for application in scalable wavelet-based video coding. In this paper an algorithm for context modelling based on tree structure is adapted for optimisation of contexts for symbols generated during Embedded ZeroBlock Coding (EZBC) of wavelet coefficients. With the proposed technique optimised contexts have been adaptively obtained for different wavelet subbands and EZBC quadtree levels. Comparison with predefined context models, which are used in common approach, shows that context models based on tree structure together with advanced modelling strategy significantly improve overall compression.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
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)