A novel FPGA-based H.264/AVC intra prediction

Guo-yan Ren () and Jian-jun Li
Additional contact information
Guo-yan Ren: Chongqing University of Science and Technology
Jian-jun Li: University of Windsor

Fuzzy Information and Engineering, 2011, vol. 3, issue 2, 183-191

Abstract: Abstract The advanced video compression standard H.264/AVC adopts Rate Distortion Optimization to enhance coding efficiency at the cost of a very high computational complexity. Intra Prediction part is the major processing bottleneck considering total time and power consumption. We therefore propose an efficient parallel processing structure for H.264/AVC 4 × 4 intra prediction. Unlike generic architectures utilizing serial processing with increased time and power consumption, a new processing order is introduced to reduce data dependencies between consecutively executed blocks within H.264/AVC intra prediction. Our experimental results show that the parallel execution of these blocks saves power consumption by up to 22.8% with slight increase in bit rate.

Keywords: H.264/AVC; Rate Distortion Optimization; Parallel processing; Intra prediction (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s12543-011-0076-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:fuzinf:v:3:y:2011:i:2:d:10.1007_s12543-011-0076-7

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/12543

DOI: 10.1007/s12543-011-0076-7

Access Statistics for this article

More articles in Fuzzy Information and Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().