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Adaptive Temporal Trajectory Filtering for Video Compression
Citation key 1328Esche2012
Author Marko Esche and Alexander Glantz and Andreas Krutz and Thomas Sikora
Pages 659–670
Year 2012
DOI 10.1109/TCSVT.2011.2177142
Journal IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Volume 22
Number 5
Month may
Abstract Most in-loop filters currently being employed in video compression algorithms use spatial information from a single frame of the video sequence only. In this paper a new filter is introduced and investigated that combines both spatial and temporal information to provide subjective and objective quality improvement. The filter only requires a small overhead on slice level while using the temporal information conveyed in the bit stream to reconstruct the individual motion trajectory of every pixel in a frame at both encoder and decoder. This information is then used to perform pixel-wise adaptive motion compensated temporal filtering. It is shown that the filter performs better than the state-of-the-art codec H.264/AVC over a large range of sequences and bit rates. Additionally, the filter is compared with another, Wiener-based in-loop filtering approach and a complexity analysis of both algorithms is conducted.
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