NDLI: Evaluation of data-parallel H.264 decoding approaches for strongly resource-restricted architectures

Content Provider	Springer Nature Link
Author	Seitner, Florian H. Bleyer, Michael Gelautz, Margrit Beuschel, Ralf M.
Copyright Year	2010
Abstract	Decoding of an H.264 video stream is a computationally demanding multimedia application which poses serious challenges on current processor architectures. For processors with strongly limited computational resources, 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. We focus on decoder splittings for strongly resource-restricted environments inherent to mobile devices. For the evaluation, we introduce a high-level methodology which can estimate the runtime behaviour of multi-core decoding architectures. We use this methodology to investigate six methods for accomplishing data-parallel splitting of an H.264 decoder. These methods are compared against each other in terms of runtime complexity, core usage, inter-communication and bus transfers. We present benchmark results using different numbers of processor cores. Our results shall aid in finding the splitting strategy that is best-suited for the targeted hardware-architecture.
Starting Page	431
Ending Page	457
Page Count	27
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	53
Issue Number	2
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2010-03-21
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Video decoding H.264/AVC Multimedia Multi-core Embedded architectures Data Structures, Cryptology and Information Theory Multimedia Information Systems Computer Communication Networks Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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