Pregled bibliografske jedinice broj: 560892
Improving scalable video adaptation in a knowledge-based framework
Improving scalable video adaptation in a knowledge-based framework // Proceedings WIAMIS 2010 / Migliorati, Pierangelo ; Cavallaro, Andrea (ur.).
Desenzano del Garda: Institute of Electrical and Electronics Engineers (IEEE), 2010. str. 1-4 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 560892 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Improving scalable video adaptation in a knowledge-based framework
Autori
Lopez, F. ; Nur, G. ; Dogan, S. ; Arachchi, H.K. ; Mrak, Marta ; Martínez, J.M. ; García, N. ; Kondoz, A. ;
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings WIAMIS 2010
/ Migliorati, Pierangelo ; Cavallaro, Andrea - Desenzano del Garda : Institute of Electrical and Electronics Engineers (IEEE), 2010, 1-4
ISBN
978-1-4244-7848-4
Skup
2010 11th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)
Mjesto i datum
Desenzano del Garda, Italija, 12.04.2010. - 14.04.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Bitrate; Knowledge based systems; Multimedia communication; PSNR; Quality assessment; Transform coding
Sažetak
In a knowledge-based content adaptation framework, video adaptation can be performed in a series of steps, named conversions. The high-level decision phase in such a framework occasionally encounters several feasible parameter values of a specific conversion. This paper proposes to transfer further decisions to a low-level phase that decides which parameters maximise the quality of the adaptation. Particularly when more than one solution are available, an innovative quality measure is used for selecting the best values for the parameters among the set of values that fulfil the adaptation constraints in the case of scalable video.
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)