DocumentCode :
3770243
Title :
Reducing HEVC encoding complexity using two-stage motion estimation
Author :
Gabriel Cebrián-Márquez;Chi Ching Chi;Jos é Luis Martínez;Pedro Cuenca;Mauricio Álvarez-Mesa;Sergio Sanz-Rodríguez;Ben Juurlink
Author_Institution :
High-Performance Networks and Architectures (RAAP). University of Castilla-La Mancha, Albacete, Spain
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
We propose a technique for optimizing the High Efficiency Video Coding (HEVC) encoder by reducing the number of operations performed in the motion estimation stage. The technique is based on the fact that a significant number of motion estimation operations are performed repetitively for the same image samples, but for different block partition sizes. By decoupling the initial motion estimation and the block partitioning into different stages it is possible to remove a considerable number of redundant motion estimation operations. An implementation of the proposed technique on a SIMD optimized version of the HEVC reference encoder shows that, on average, a reduction of 79.02% SAD operations can be achieved, that results in an average reduction of 14.63% of the encoding complexity with negligible impact on the compression efficiency (BD-rate losses of less than 1%).
Keywords :
"Encoding","Motion estimation","Algorithm design and analysis","Complexity theory","Video coding","Computer architecture","Prediction algorithms"
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2015
Type :
conf
DOI :
10.1109/VCIP.2015.7457851
Filename :
7457851
Link To Document :
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