Research

Teaching

Forums

Staff

Contact

Intranet

Research Projects
Past and current research projects in the areas of virtual reality, media processing and web-based information systems.

Student and Thesis Projects, Jobs
Available student and thesis projects and job offers.

Scientific Publications
Details and downloads publications, technical reports and thesis papers.

Evaluation of data-parallel splitting approaches for H.264 decoding, MoMM

by Florian Seitner, Michael Bleyer, Ralf Schreier, Margrit Gelautz

Abstract

The high computational demands of the H.264 decoding process pose serious challenges on current processor architectures. A natural way to tackle this problem is the use of multi-core systems. The contribution of this paper lies in a systematic overview and performance evaluation of parallel video decoding approaches. Our study investigates six methods for accomplishing data-parallel splitting in strongly resource-restricted environments inherent to mobile devices. These methods are compared against each other in terms of run-time complexity, core usage, inter-communication and bus transfers. We present benchmark results using different numbers of processor cores. Our results shall aid in finding a splitting strategy that is best suited for the targeted hardware-architecture.

Download

Follow the link below to download the document. To view PDF documents, you need Acrobat Reader. For PostScript files, use either Acrobat Distiller (commercial) or GhostScript (free).

Download: http://publik.tuwien.ac.at/files/PubDat_168831.pdf
Version: 1.0

Details

Evaluation of data-parallel splitting approaches for H.264 decoding, MoMM
TR Number:	TR-188-2-2008-17
First Published:	2008
Publishing History:	Proc. of the 6th International Conference on Advances in Mobile Computing and Multimedia, Linz; 24.11.2008 - 26.11.2008; ISBN: 978-1-60558-269-6; pages 40 - 49.
Keywords:	Video, Decoding, H.264/AVC, Parallel, Embedded Architectures

Print this Page
Display a printer-friendly version of this page.