CLC number: TN919.8
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 0
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Lee Tien-Hsu, Wang Jong-Tzy, Chen Jhih-Bin, Chang Pao-Chi. An error resilient scheme for H.264 video coding based on distortion estimated mode decision and nearest neighbor error concealment[J]. Journal of Zhejiang University Science A, 2006, 7(100): 34-40.
@article{title="An error resilient scheme for H.264 video coding based on distortion estimated mode decision and nearest neighbor error concealment",
author="Lee Tien-Hsu, Wang Jong-Tzy, Chen Jhih-Bin, Chang Pao-Chi",
journal="Journal of Zhejiang University Science A",
volume="7",
number="100",
pages="34-40",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.AS0034"
}
%0 Journal Article
%T An error resilient scheme for H.264 video coding based on distortion estimated mode decision and nearest neighbor error concealment
%A Lee Tien-Hsu
%A Wang Jong-Tzy
%A Chen Jhih-Bin
%A Chang Pao-Chi
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 100
%P 34-40
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.AS0034
TY - JOUR
T1 - An error resilient scheme for H.264 video coding based on distortion estimated mode decision and nearest neighbor error concealment
A1 - Lee Tien-Hsu
A1 - Wang Jong-Tzy
A1 - Chen Jhih-Bin
A1 - Chang Pao-Chi
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 100
SP - 34
EP - 40
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.AS0034
Abstract: Although h.264 video coding standard provides several error resilience tools, the damage caused by error propagation may still be tremendous. This work is aimed at developing a robust and standard-compliant error resilient coding scheme for h.264 and uses techniques of mode decision, data hiding, and error concealment to reduce the damage from error propagation. This paper proposes a system with two error resilience techniques that can improve the robustness of h.264 in noisy channels. The first technique is Nearest Neighbor motion compensated error concealment (NNEC) that chooses the nearest neighbors in the reference frames for error concealment. The second technique is Distortion Estimated mode decision (DEMD) that selects an optimal mode based on stochastically distorted frames. Observed simulation results showed that the rate-distortion performances of the proposed algorithms are better than those of the compared algorithms.
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