Hybrid error concealment method for H.264 video transmission over wireless networks

2007 ◽  
Author(s):  
Changhoon Yim ◽  
Wonjung Kim ◽  
Hyesook Lim
Keyword(s):  
Wireless Networks ◽  
Video Transmission ◽  
Error Concealment

Efficient Frame Error Concealment Using Bilateral Motion Estimation for Low Bit-Rate Video Transmission

2009 ◽  
Vol E92-B (2) ◽  
pp. 461-472
Author(s):  
DinhTrieu DUONG ◽  
Min-Cheol HWANG ◽  
Byeong-Doo CHOI ◽  
Jun-Hyung KIM ◽  
Sung-Jea KO
Keyword(s):  
Motion Estimation ◽  
Video Transmission ◽  
Error Concealment ◽  
Bit Rate ◽  
Low Bit Rate

scholarly journals ROI-Based Video Transmission in Heterogeneous Wireless Networks With Multi-Homed Terminals

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 26328-26339 ◽  
Author(s):  
Zhewei Zhang ◽  
Tao Jing ◽  
Jingning Han ◽  
Yaowu Xu ◽  
Xuejing Li ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Video Transmission ◽  
Heterogeneous Wireless Networks

An Improved Error Concealment Based on Redundant Motion Vector Information

2012 ◽  
Vol 532-533 ◽  
pp. 1219-1224
Author(s):  
Hong Tao Deng
Keyword(s):  
Video Transmission ◽  
Error Concealment ◽  
Video Quality ◽  
Motion Vector ◽  
Compressed Video ◽  
Vector Information ◽  
Vector Estimation ◽  
Channel Errors ◽  
Bit Stream

During video transmission over error prone network, compressed video bit-stream is sensitive to channel errors that may degrade the decoded pictures severely. In order to solve this problem, error concealment technique is a useful post-processing tool for recovering the lost information. In these methods, how to estimate the lost motion vector correctly is important for the quality of decoded picture. In order to recover the lost motion vector, an Decoder Motion Vector Estimation (DMVE) criterion was proposed and have well effect for recover the lost blocks. In this paper, we propose an improved error concealment method based on DMVE, which exploits the accurate motion vector by using redundant motion vector information. The experimental results with an H.264 codec show that our method improves both subjective and objective decoder reconstructed video quality, especially for sequences of drastic motion.

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