Paper Info
Title
Multi-objective design space exploration for the optimization of the HEVC mode decision process
Abstract
Finding the best possible encoding decisions for compressing a video sequence is a highly complex problem. In this work, we propose a multi-objective Design Space Exploration (DSE) method to automatically find HEVC encoder implementations that are optimized for several different criteria. The DSE shall optimize the coding mode evaluation order of the mode decision process and jointly explore early skip conditions to minimize the four objectives a) bitrate, b) distortion, c) encoding time, and d) decoding energy. In this context, we use a SystemC-based actor model of the HM test model encoder for the evaluation of each explored solution. The evaluation that is based on real measurements shows that our framework can automatically generate encoder solutions that save more than 60% of encoding time or 3% of decoding energy when accepting bitrate increases of around 3%.
Year
DOI
Venue
2016
10.1109/PCS.2016.7906327
2016 Picture Coding Symposium (PCS)
Keywords
Field
DocType
optimization,HEVC mode decision process,video sequence compression,encoding decisions,multiobjective design space exploration method,DSE method,HEVC encoder,coding mode evaluation order,mode decision process,bitrate minimization,distortion minimization,encoding time minimization,decoding energy minimization,SystemC-based actor model,HM test model encoder
Computer science,Theoretical computer science,SystemC,Coding (social sciences),Encoder,Decoding methods,Actor model,Distortion,Design space exploration,Encoding (memory)
Conference
ISSN
ISBN
Citations 
2330-7935
978-1-5090-5967-6
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Christian Herglotz1209.45
Rafael Rosales2193.02
Michael Glaß351045.33
Jürgen Teich42886273.54
André Kaup5861127.24