An Approach to Error Concealment for Entire Right Frame Loss in Stereoscopic Video Transmission

Author(s):  
Linjuan Pang ◽  
Mei Yu ◽  
Gangyi Jiang ◽  
Zhidi Jiang ◽  
Fucui Li
2012 ◽  
Vol 38 (2) ◽  
pp. 217-230 ◽  
Author(s):  
Yang Zhou ◽  
Gangyi Jiang ◽  
Mei Yu ◽  
Zongju Peng ◽  
Feng Shao

2009 ◽  
Vol E92-B (2) ◽  
pp. 461-472
Author(s):  
DinhTrieu DUONG ◽  
Min-Cheol HWANG ◽  
Byeong-Doo CHOI ◽  
Jun-Hyung KIM ◽  
Sung-Jea KO

2012 ◽  
Vol 532-533 ◽  
pp. 1219-1224
Author(s):  
Hong Tao Deng

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.


Author(s):  
Susanna Spinsante ◽  
Ennio Gambi ◽  
Damiano Falcone

2010 ◽  
Vol 2010 ◽  
pp. 1-9 ◽  
Author(s):  
Giorgio Rascioni ◽  
Susanna Spinsante ◽  
Ennio Gambi

Scene change detection plays an important role in a number of video applications, including video indexing, semantic features extraction, and, in general, pre- and post-processing operations. This paper deals with the design and performance evaluation of a dynamic scene change detector optimized for H.264/AVC encoded video sequences. The detector is based on a dynamic threshold that adaptively tracks different features of the video sequence, to increase the whole scheme accuracy in correctly locating true scene changes. The solution has been tested on suitable video sequences resembling real-world videos thanks to a number of different motion features, and has provided good performance without requiring an increase in decoder complexity. This is a valuable issue, considering the possible application of the proposed algorithm in post-processing operations, such as error concealment for video decoding in typical error prone video transmission environments, such as wireless networks.


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