@ARTICLE{1385Krutz2012,
	AUTHOR = {Andreas Krutz and Alexander Glantz and Michael Tok and Marko Esche and Thomas Sikora},
	TITLE = {Adaptive Global Motion Temporal Filtering for High Efficiency Video Coding},
	JOURNAL = {IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)},
	YEAR = {2012},
	MONTH = dec,
	DOI = {10.1109/TCSVT.2012.2223012},
	ABSTRACT = {Coding artifacts in video codecs can be reduced using  several spatial in-loop filters which are part of the emerging video coding standard HEVC. In this paper, we introduce the concept of global motion temporal filtering (GMTF). A theoretical framework for a concept combining the temporal overlapping of several noisy versions of the same signal is introduced. This includes a model of the motion estimation error. As an important result it is shown that an optimum number of frames N for filtering exists. An implementation of the concept based on several versions of the HEVC test model using global motion compensated temporal filtering shows that significant gains can be achieved.}
}