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Self-Adaptive Video Encoder: Comparison of Multiple Adaptation Strategies Made Simple
Lund University, Sweden.
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-1364-8127
Imperial College London, UK.
University of Chicago, USA.
2017 (Engelska)Ingår i: 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems SEAMS 17, Buenos Aires, Argentina, 2017, s. 123-128, artikel-id 7968140Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

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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Buenos Aires, Argentina, 2017. s. 123-128, artikel-id 7968140
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Datorsystem
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URN: urn:nbn:se:mdh:diva-35479DOI: 10.1109/SEAMS.2017.16Scopus ID: 2-s2.0-85027129950ISBN: 9781538615508 (tryckt)OAI: oai:DiVA.org:mdh-35479DiVA, id: diva2:1108073
Konferens
12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems SEAMS 17, 22 May 2017, Buenos Aires, Argentina
Projekt
Future factories in the CloudTillgänglig från: 2017-06-12 Skapad: 2017-06-12 Senast uppdaterad: 2017-08-24Bibliografiskt granskad

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