Pregled bibliografske jedinice broj: 429907
Flexible Motion Models for Scalable and High Definition Video Coding
Flexible Motion Models for Scalable and High Definition Video Coding // Recent Advances in Multimedia Signal Processing and Communications / Grgić, Mislav ; Delač, Krešimir ; Ghanbari, Mohammed (ur.).
Heidelberg: Springer, 2009. str. 209-243
CROSBI ID: 429907 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Flexible Motion Models for Scalable and High Definition Video Coding
Autori
Mrak, Marta ; Žgaljić, Toni
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Recent Advances in Multimedia Signal Processing and Communications
Urednik/ci
Grgić, Mislav ; Delač, Krešimir ; Ghanbari, Mohammed
Izdavač
Springer
Grad
Heidelberg
Godina
2009
Raspon stranica
209-243
ISBN
978-3-642-02899-1
Ključne riječi
High Definition, Scalability, Scalable Coding, Scalable Video Coding, Motion Tree Structure, Block Mode
Sažetak
In this chapter the technologies that enable efficient handling of the richest multimedia content - videos, are presented. Application of videos in multimedia system has become possible because of effective signal-processing methods that enable high data compression. Key technology for video compression is motion compensation which is in centre of this chapter. Here, a flexible motion model that is suitable for scalable and high definition video coding is presented. The motion model is based on the application of variable-size blocks which supports highly efficient motion compensation and high degree of adaptability to the input video. The presented model can be also represented in a layered way, thus, providing scalability of motion information. In order to efficiently compress such motion information, predictive coding and adaptive entropy coding are applied. In predictive coding motion information of the current block is predicted from adjacent blocks. The prediction error is subjected to entropy coding, which utilises information about adjacent blocks and/or the current block in creating contexts to provide improved probability estimates for arithmetic coding. Overall, the presented techniques are highly flexible and are suitable for next-generation multimedia applications.
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)