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Compensating for motion estimation inaccuracies in distributed video coding
Boekbijdrage - Hoofdstuk
Distributed video coding is a relatively new video coding ap-
proach, where compression is achieved by performing motion estimation
at the decoder. Current techniques for decoder-side motion estimation
make use of assumptions such as linear motion between the reference
frames. It is only after the frame is partially decoded that some of the
errors are corrected. In this paper, we propose a new approach with mul-
tiple predictors, accounting for inaccuracies in the decoder-side motion
estimation process during the decoding. Each of the predictors is assigned
a weight, and the correlation between the original frame at the encoder
and the set of predictors at the decoder is modeled at the decoder. This
correlation information is then used during the decoding process. Results
indicate average quality gains up to 0.4 dB.
proach, where compression is achieved by performing motion estimation
at the decoder. Current techniques for decoder-side motion estimation
make use of assumptions such as linear motion between the reference
frames. It is only after the frame is partially decoded that some of the
errors are corrected. In this paper, we propose a new approach with mul-
tiple predictors, accounting for inaccuracies in the decoder-side motion
estimation process during the decoding. Each of the predictors is assigned
a weight, and the correlation between the original frame at the encoder
and the set of predictors at the decoder is modeled at the decoder. This
correlation information is then used during the decoding process. Results
indicate average quality gains up to 0.4 dB.
Boek: Lecture Notes in Computer Science
Pagina's: 324-332
Aantal pagina's: 9
ISBN:978-3-642-13680-1
Jaar van publicatie:2010
Trefwoorden:distributed video coding