Abstract
Due to temporal prediction adopted in most video coding standards, errors occurred in the current frame will propagate to succeeding frames that refer to it. This causes substantial degradation in reconstructed video quality at decoder side. In order to enhance robustness of existing temporal prediction techniques, another prediction strategy, called error resilient motion estimation (ERME), to take both coding efficiency and error propagation into considerations is proposed. To find MVs that satisfy the above two requirements, a constrained optimization problem with a new criterion is thus formed for ME. The proposed algorithm is implemented for H.264 video coding standard, where multiple reference frames are allowed for ME. From experimental results, the proposed algorithm can improve PSNR by up to 1.0 dB (at a packet loss rate of 20%) when compared with the full search ME with traditional SAD (sum of absolute difference) criterion.
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© 2006 Springer-Verlag Berlin Heidelberg
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Lie, WN., Gao, ZW., Chen, WC., Jui, PC. (2006). Error Resilient Motion Estimation for Video Coding. In: Chang, LW., Lie, WN. (eds) Advances in Image and Video Technology. PSIVT 2006. Lecture Notes in Computer Science, vol 4319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949534_99
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DOI: https://doi.org/10.1007/11949534_99
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68297-4
Online ISBN: 978-3-540-68298-1
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