Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-5740
Main Title: RBF-based QP estimation model for VBR control in H.264/SVC
Author(s): Sanz-Rodríguez, Sergio
Díaz-de-María, Fernando
Type: Article
Language Code: en
Abstract: In this paper, we propose a novel variable bit rate (VBR) controller for real-time H.264/scalable video coding (SVC) applications. The proposed VBR controller relies on the fact that consecutive pictures within the same scene often exhibit similar degrees of complexity, and consequently should be encoded using similar quantization parameter (QP) values for the sake of quality consistency. In order to prevent unnecessary QP fluctuations, the proposed VBR controller allows for just an incremental variation of QP with respect to that of the previous picture, focusing on the design of an effective method for estimating this QP variation. The implementation in H.264/SVC requires to locate a rate controller at each dependency layer (spatial or coarse grain scalability). In particular, the QP increment estimation at each layer is computed by means of a radial basis function (RBF) network that is specially designed for this purpose. Furthermore, the RBF network design process was conceived to provide an effective solution for a wide range of practical real-time VBR applications for scalable video content delivery. In order to assess the proposed VBR controller, two real-time application scenarios were simulated: mobile live streaming and Internet protocol television broadcast. It was compared to constant QP encoding and a recently proposed constant bit rate (CBR) controller for H.264/SVC. The experimental results show that the proposed method achieves remarkably consistent quality, outperforming the reference CBR controller in the two scenarios for all the spatio-temporal resolutions considered.
URI: http://depositonce.tu-berlin.de/handle/11303/6175
http://dx.doi.org/10.14279/depositonce-5740
Issue Date: 2011
Date Available: 23-Feb-2017
DDC Class: 004 Datenverarbeitung; Informatik
620 Ingenieurwissenschaften und Maschinenbau
Subject(s): H.264/SVC
H.264/advanced video coding (AVC)
IPTV
rate control
scalable video coding (SVC)
streaming
variable bit rate (VBR)
Usage rights: Terms of German Copyright Law
Journal Title: IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society
Publisher: IEEE
Publisher Place: New York, NY [u.a.]
Volume: 21
Issue: 9
Publisher DOI: 10.1109/TCSVT.2011.2143330
Page Start: 1263
Page End: 1277
EISSN: 1558-2205
ISSN: 1051-8215
Appears in Collections:Technische Universität Berlin » Fakultäten & Zentralinstitute » Fakultät 4 Elektrotechnik und Informatik » Institut für Technische Informatik und Mikroelektronik » Fachgebiet Architektur eingebetteter Systeme » Publications

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