Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21383
Title: Channel-adaptive error protection for streaming stored MPEG-4 FGS over error-prone environments
Authors: Zhuo, L
Lam, KM 
Shen, L
Keywords: Forward error correction (FEC)
MPEG-4 fine granular scalability
Piecewise rate-distortion (R-D) model
Video streaming
Issue Date: 2006
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on circuits and systems for video technology, 2006, v. 16, no. 5, p. 649-654 How to cite?
Journal: IEEE transactions on circuits and systems for video technology 
Abstract: In this paper, we investigate an adaptive channel error-protection scheme for streaming stored MPEG-4 fine granular scalability (FGS) bitstreams over error-prone environments. The human eye is sensitive to the variations in reconstructed image quality. Therefore, instead of using only the minimal average frame distortion as the optimization criterion, we propose a rate-distortion (R-D)-based bit-allocation method to determine the source coding rate and the channel coding rate under a given channel condition so as to minimize both the average image distortion and quality variation. Based on our proposed piecewise model of the MPEG-4 FGS enhancement layer, a balance between the average frame quality and quality variation will be obtained. Experimental results show that, compared with other existing methods, our proposed method can achieve less quality variation and comparable average frame distortion under various channel conditions.
URI: http://hdl.handle.net/10397/21383
ISSN: 1051-8215
EISSN: 1558-2205
DOI: 10.1109/TCSVT.2006.873153
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

6
Last Week
0
Last month
0
Citations as of Dec 9, 2017

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
0
Citations as of Dec 9, 2017

Page view(s)

63
Last Week
1
Last month
Checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.