TY - GEN
T1 - Kalman filter based error resilience for H.264 motion vector recovery
AU - Ko, Ki Hong
AU - Kim, Seong Whan
PY - 2005
Y1 - 2005
N2 - We propose an error concealment technique to recover lost motion vectors at the H.264 decoder side. To recover the lost motion vectors, there are two simple techniques: (1) no prediction, where the lost motion vectors are set to zeros, and (2) the prediction using the average or median of spatially adjacent blocks' motion vectors [1]. In this paper, we propose a Kalman filter based scheme for motion vector recovery, and experimented with two test image sequences: Mobile&Calendar and Susie. The experimental results show that our Kalman filter based motion vector recovery scheme improves at average 2 dB PSNR over conventional H.264 decoding with no error recovery. We also improve our scheme using Hilbert curve scan order for Kalman input, and we get 0.512 - 1.652 dB PSNR improvements with better subjective quality over line-by-line scan order.
AB - We propose an error concealment technique to recover lost motion vectors at the H.264 decoder side. To recover the lost motion vectors, there are two simple techniques: (1) no prediction, where the lost motion vectors are set to zeros, and (2) the prediction using the average or median of spatially adjacent blocks' motion vectors [1]. In this paper, we propose a Kalman filter based scheme for motion vector recovery, and experimented with two test image sequences: Mobile&Calendar and Susie. The experimental results show that our Kalman filter based motion vector recovery scheme improves at average 2 dB PSNR over conventional H.264 decoding with no error recovery. We also improve our scheme using Hilbert curve scan order for Kalman input, and we get 0.512 - 1.652 dB PSNR improvements with better subjective quality over line-by-line scan order.
UR - http://www.scopus.com/inward/record.url?scp=33646700963&partnerID=8YFLogxK
U2 - 10.1007/11581772_58
DO - 10.1007/11581772_58
M3 - Conference contribution
AN - SCOPUS:33646700963
SN - 3540300279
SN - 9783540300274
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 664
EP - 674
BT - Advances in Mulitmedia Information Processing - PCM 2005 - 6th Pacific Rim Conference on Multimedia, Proceedings
T2 - 6th Pacific Rim Conference on Multimedia - Advances in Mulitmedia Information Processing - PCM 2005
Y2 - 13 November 2005 through 16 November 2005
ER -