DocumentCode :
492208
Title :
A New Temporal Error Concealment Algorithm for H.264/AVC Using Motion Strength of Neighboring Area
Author :
Zhi-hua, Huang ; Ben-shun, Yi
Author_Institution :
Sch. of Electron. Inf., Wuhan Univ., Wuhan
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
818
Lastpage :
821
Abstract :
Transmission of compressed video over error prone channels may result in packet losses or errors, which can significantly degrade the image quality. Error concealment is an effective approach to reduce the influence. In this paper, a new temporal error concealment algorithm for the H.264 is presented, which efficiently utilize the motion vectors of neighboring top/bottom macro blocks adjacent to the lost macro block. Firstly, the motion strength of neighboring area (MSNA) is estimated by calculating a ratio involving the motion vectors of adjacent macro blocks. Then the motion vector recovery method either minimum variance of boundary motion vectors method or polynomial interpolation method is employed according to the magnitude of MSNA. Experimental results show that the proposed algorithm improves the subjective video quality and obtains a gain of about 0.2 dB~3 dB in PSNR, compared with conventional temporal error concealment algorithms in the condition of equal packet loss rate.
Keywords :
data compression; interpolation; polynomials; video coding; H.264-AVC; boundary motion vectors method; compressed video transmission; error prone channels; image quality; motion strength of neighboring area; motion vector recovery method; polynomial interpolation method; temporal error concealment algorithm; Automatic voltage control; Degradation; Image coding; Image quality; Interpolation; Motion estimation; PSNR; Polynomials; Propagation losses; Video compression; error concealment; polynomial interpolation; temporal concealment; video transmission;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3530-2
Electronic_ISBN :
978-1-4244-3531-9
Type :
conf
DOI :
10.1109/KAMW.2008.4810616
Filename :
4810616
Link To Document :
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