Paper Info
Title
Offset based leaky prediction for error resilient ROI coding
Abstract
During the period of transmission, video data usually suffer from transmission errors inevitably. Intra update is a common approach to stop error propagation. However, damaged images cannot recover until next update in case of errors, which often leads to annoying effect. In this paper, we propose an enhanced leaky prediction approach that enables the Region-Of-Interest (ROI) of images to recover gently from the immediate succeeding frame of erroneous ones in favor of better human perception. Moreover, an optimized offset compensation technique is designed to improve coding performance. Experimental results show that the proposed scheme can achieve better image quality for ROI and the fluctuation of bitrate is greatly reduced, compared to the intra update method.
Year
DOI
Venue
2009
10.1109/ICME.2009.5202457
ICME
Keywords
Field
DocType
annoying effect,next update,enhanced leaky prediction approach,transmission error,better image quality,resilient roi coding,intra update,common approach,intra update method,coding performance,better human perception,human perception,roi,error propagation,data compression,robustness,region of interest,image quality,psnr,encoding
Computer vision,Propagation of uncertainty,Computer science,Image quality,Coding (social sciences),Robustness (computer science),Artificial intelligence,Region of interest,Data compression,Offset (computer science),Encoding (memory)
Conference
ISSN
Citations 
PageRank 
1945-7871
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Zhengyi Luo1357.85
Li Song232365.87
Shibao Zheng321430.64