DocumentCode
493505
Title
A New Temporal Error Concealment Algorithm for H.264 Using Motion Strength of Neighboring Area
Author
Zhi-hua, Huang ; Ben-shun, Yi
Author_Institution
Sch. of Electron. Inf., Wuhan Univ., Wuhan
Volume
1
fYear
2009
fDate
7-8 March 2009
Firstpage
569
Lastpage
572
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 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 algorithm using 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 0.2dB~2.5dB in PSNR, compared with conventional temporal error concealment algorithms in the condition of equal packet loss rate.
Keywords
image motion analysis; interpolation; vectors; video coding; H.264; boundary motion vector method; compressed video; motion vector recovery algorithm; neighboring area motion strength; polynomial interpolation method; temporal error concealment algorithm; Computer errors; Computer science; Computer science education; Decoding; Degradation; Educational technology; Image coding; Interpolation; Motion estimation; Polynomials; error concealment; polynomial interpolation; temporal concealment; video transmission;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4244-3581-4
Type
conf
DOI
10.1109/ETCS.2009.135
Filename
4958838
Link To Document