TU Berlin

Communication Systems GroupScientific Publications

Page Content

to Navigation

Scientific Publications

Adaptive Global Motion Temporal Filtering for High Efficiency Video Coding
Citation key 1385Krutz2012
Author Andreas Krutz and Alexander Glantz and Michael Tok and Marko Esche and Thomas Sikora
Year 2012
DOI 10.1109/TCSVT.2012.2223012
Journal IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Month dec
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.
Download Bibtex entry


Quick Access

Schnellnavigation zur Seite über Nummerneingabe