JournalIEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
DateMay 2012
Author(s)Marko Esche, Alexander Glantz, Andreas Krutz and Thomas Sikora
TitleAdaptive Temporal Trajectory Filtering for Video Compression
AbstractMost 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.
Key wordscompression, video compression, in-loop filtering, deblocking, H.264/AVC