TU Berlin

Communication Systems GroupScientific Publications

Page Content

to Navigation

Scientific Publications

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.
Download Bibtex entry


Quick Access

Schnellnavigation zur Seite über Nummerneingabe