Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6792
Main Title: Reducing HEVC encoding complexity using two-stage motion estimation
Author(s): Cebrián-Márquez, Gabriel
Chi, Chi Ching
Martínez, José Luis
Cuenca, Pedro
Sanz-Rodríguez, Sergio
Álvarez-Mesa, Mauricio
Juurlink, Ben
Type: Conference Object
Language Code: en
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%).
URI: https://depositonce.tu-berlin.de//handle/11303/7578
http://dx.doi.org/10.14279/depositonce-6792
Issue Date: 2015
Date Available: 13-Apr-2018
DDC Class: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Subject(s): encoding
motion estimation
algorithm design and analysis
complexity theory
video coding
computer architecture
prediction algorithms
HEVC
H.265
fast video encoding
video compression
License: http://rightsstatements.org/vocab/InC/1.0/
Proceedings Title: 2015 Visual Communications and Image Processing (VCIP)
Publisher: Institute of Electrical and Electronics Engineers
Publisher Place: New York, NY
Volume: 2015
Publisher DOI: 10.1109/VCIP.2015.7457851
ISBN: 978-1-4673-7314-2
Appears in Collections:FG Architektur eingebetteter Systeme » Publications

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