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ECRTS '04 Proceedings of the 16th Euromicro Conference on Real-Time Systems
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RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
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IEEE Transactions on Image Processing
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IEEE Transactions on Circuits and Systems for Video Technology
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IEEE Transactions on Circuits and Systems for Video Technology
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ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
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CODES+ISSS '11 Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
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In this article we present three key ideas which together form a flexible framework for maximizing user-perceived quality under given resources with modern video codecs (H.264). First, we present a method to predict resource usage for video decoding online. For this, we develop and discuss a video decoder model using key metadata from the video stream. Second, we explain a light-weight method for providing replacement content for a given region of a frame. We use this method for online adaptation. Third, we select a metric modeled after human image perception which we extend to quantify the consequences of available online adaptation decisions. Together, these three parts allow us, to the best of our knowledge for the first time, to maximize user-perceived quality in video playback under given resource constraints.