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Self-Adaptive Video Encoder : Comparison of Multiple Adaptation Strategies Made Simple

Maggio, Martina LU ; Papadopoulos, Alessandro Vittorio LU ; Filieri, Antonio and Hoffmann, Henry (2017) 12th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2017 In Proceedings - 2017 IEEE/ACM 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2017 p.123-128
Abstract

This paper presents an adaptive video encoder that can be used to compare the behavior of different adaptation strategies using multiple actuators to steer the encoder towards a global goal, composed of multiple conflicting objectives. A video camera produces frames that the encoder manipulates with the objective of matching some space requirement to fit a given communication channel. A second objective is to maintain a given similarity index between the manipulated frames and the original ones. To achieve the goal, the software can change three parameters: the quality of the encoding, the noise reduction filter radius and the sharpening filter radius. In most cases, the objectives - small encoded size and high quality - conflict, since... (More)

This paper presents an adaptive video encoder that can be used to compare the behavior of different adaptation strategies using multiple actuators to steer the encoder towards a global goal, composed of multiple conflicting objectives. A video camera produces frames that the encoder manipulates with the objective of matching some space requirement to fit a given communication channel. A second objective is to maintain a given similarity index between the manipulated frames and the original ones. To achieve the goal, the software can change three parameters: the quality of the encoding, the noise reduction filter radius and the sharpening filter radius. In most cases, the objectives - small encoded size and high quality - conflict, since a larger frame would have a higher similarity index to its original counterpart. This makes the problem difficult from the control perspective and makes the case study appealing to compare different adaptation strategies.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
case studies, control theory, self-adaptive systems
in
Proceedings - 2017 IEEE/ACM 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2017
pages
6 pages
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
12th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2017
external identifiers
  • scopus:85027129950
  • scopus:85027129950
ISBN
9781538615508
DOI
10.1109/SEAMS.2017.16
language
English
LU publication?
yes
id
b8ae86c7-fdb5-4a96-902b-9eea65531f60
date added to LUP
2017-03-02 13:51:58
date last changed
2018-03-12 22:03:03
@inproceedings{b8ae86c7-fdb5-4a96-902b-9eea65531f60,
  abstract     = {<p>This paper presents an adaptive video encoder that can be used to compare the behavior of different adaptation strategies using multiple actuators to steer the encoder towards a global goal, composed of multiple conflicting objectives. A video camera produces frames that the encoder manipulates with the objective of matching some space requirement to fit a given communication channel. A second objective is to maintain a given similarity index between the manipulated frames and the original ones. To achieve the goal, the software can change three parameters: the quality of the encoding, the noise reduction filter radius and the sharpening filter radius. In most cases, the objectives - small encoded size and high quality - conflict, since a larger frame would have a higher similarity index to its original counterpart. This makes the problem difficult from the control perspective and makes the case study appealing to compare different adaptation strategies.</p>},
  author       = {Maggio, Martina and Papadopoulos, Alessandro Vittorio and Filieri, Antonio and Hoffmann, Henry},
  booktitle    = {Proceedings - 2017 IEEE/ACM 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2017},
  isbn         = {9781538615508},
  keyword      = {case studies,control theory,self-adaptive systems},
  language     = {eng},
  month        = {07},
  pages        = {123--128},
  publisher    = {Institute of Electrical and Electronics Engineers Inc.},
  title        = {Self-Adaptive Video Encoder : Comparison of Multiple Adaptation Strategies Made Simple},
  url          = {http://dx.doi.org/10.1109/SEAMS.2017.16},
  year         = {2017},
}