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


Fulltext:


Authors:

Martina Maggio , Alessandro Papadopoulos, Antonio Filieri , Henry Hoffmann

Research group:

Complex Real-Time Embedded Systems

Publication Type:

Conference/Workshop Paper

Venue:

12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems

DOI:

10.1109/SEAMS.2017.16

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.

Bibtex

@inproceedings{Maggio4696,
author = {Martina Maggio and Alessandro Papadopoulos and Antonio Filieri and Henry Hoffmann},
title = {Self-Adaptive Video Encoder: Comparison of Multiple Adaptation Strategies Made Simple},
pages = {123--128},
month = {May},
year = {2017},
booktitle = {12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems},
url = {http://www.es.mdu.se/publications/4696-}
}