Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47682
Title: Scalable unified transform architecture for advanced video coding embedded systems
Authors: Dias, Tiago
López, Sebastián 
Roma, Nuno
Sousa, Leonel
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Video coding
Unified transform
Scalable architecture
H.264/AVC
FPGA, et al
Issue Date: 2013
Journal: International Journal of Parallel Programming 
Abstract: A novel high throughput and scalable unified architecture for the computation of the transform operations in video codecs for advanced standards is presented in this paper. This structure can be used as a hardware accelerator in modern embedded systems to efficiently compute all the two-dimensional 4 x 4 and 2 x 2 transforms of the H.264/AVC standard. Moreover, its highly flexible design and hardware efficiency allows it to be easily scaled in terms of performance and hardware cost to meet the specific requirements of any given video coding application. Experimental results obtained using a Xilinx Virtex-5 FPGA demonstrated the superior performance and hardware efficiency levels provided by the proposed structure, which presents a throughput per unit of area relatively higher than other similar recently published designs targeting the H.264/AVC standard. Such results also showed that, when integrated in a multi-core embedded system, this architecture provides speedup factors of about 120x concerning pure software implementations of the transform algorithms, therefore allowing the computation, in real-time, of all the above mentioned transforms for Ultra High Definition Video (UHDV) sequences (4,320 x 7,680 @ 30 fps).
URI: http://hdl.handle.net/10553/47682
ISSN: 0885-7458
DOI: 10.1007/s10766-012-0221-x
Source: International Journal of Parallel Programming[ISSN 0885-7458],v. 41, p. 236-260
Appears in Collections:Actas de congresos
Show full item record

SCOPUSTM   
Citations

4
checked on Apr 18, 2021

WEB OF SCIENCETM
Citations

2
checked on Apr 18, 2021

Page view(s)

23
checked on Apr 18, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.