Recovery of lost or erroneously received motion vectors
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
Error concealment via Kalman filter for heavily corrupted videos in H.264/AVC
Image Communication
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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.