Paper Info
Title
Rate-distortion-complexity optimization for VLSI implementation of integer motion estimation in H.264/AVC encoder
Abstract
In order to accommodate the wide range of applications and the corresponding platforms where the H.264/AVC standard is currently in place, one should be able to optimize the encoder's computational complexity with a careful selection of the coding configuration parameters. Motion estimation is the most time-consuming part of the encoder which constitutes up to 75% of the computational complexity. In this paper, the optimum selection of configuration parameters, including search range, reference frame, degree of down-sampling and number of truncation bits have been analyzed for the VLSI implementation of integer motion estimation in terms of distortion-complexity performance. Furthermore, the optimum parameter sets have been presented for different video sizes and different constraints on computational power.
Year
DOI
Venue
2011
10.1109/ICME.2011.6012145
ICME
Keywords
Field
DocType
distortion complexity performance,rate distortion complexity optimization,different video size,careful selection,coding configuration parameter,avc encoder,different constraint,integer motion estimation,rate-distortion-complexity optimization,configuration parameter,motion estimation,h.264/avc encoder,computational complexity,vlsi implementation,vlsi,video coding,computational power,optimum parameter set,video codecs,encoding,psnr,reference frame,strontium
Reference frame,Truncation,Quarter-pixel motion,Computer science,Real-time computing,Artificial intelligence,Motion estimation,Very-large-scale integration,Computer vision,Algorithm,Encoder,Encoding (memory),Computational complexity theory
Conference
ISSN
ISBN
Citations 
1945-7871 E-ISBN : 978-1-61284-349-0
978-1-61284-349-0
1
PageRank 
References 
Authors
0.35
6
4
Name
Order
Citations
PageRank
Alireza Aminlou18514.99
Zahra NajafiHaghi210.35
Majid Namaki-Shoushtari3212.81
Mahmoud Reza Hashemi413127.70