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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 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.
Original language | English |
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Title of host publication | Proceedings - 2017 IEEE/ACM 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2017 |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 123-128 |
Number of pages | 6 |
ISBN (Electronic) | 9781538615508 |
DOIs | |
Publication status | Published - 2017 Jul 3 |
Event | 12th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2017 - Buenos Aires, Argentina Duration: 2017 May 22 → 2017 May 23 |
Conference
Conference | 12th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2017 |
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Country/Territory | Argentina |
City | Buenos Aires |
Period | 2017/05/22 → 2017/05/23 |
Subject classification (UKÄ)
- Control Engineering
Free keywords
- case studies
- control theory
- self-adaptive systems
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Dive into the research topics of 'Self-Adaptive Video Encoder: Comparison of Multiple Adaptation Strategies Made Simple'. Together they form a unique fingerprint.Projects
- 1 Finished
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Power Control for Computing Infrastructures
Maggio, M. (Researcher) & Dürango, J. (Researcher)
2014/01/01 → 2017/12/31
Project: Research