Cost-distortion optimized unequal error protection for object-based video communications. Haohong Wang, Fan Zhai, Eisenberg, Y., Katsaggelos, A. K A., Wang, H., Zhai, F., Eisenberg, Y., & Katsaggelos, A. K A. IEEE Transactions on Circuits and Systems for Video Technology, 15(12):1505–1516, IEEE, dec, 2005. Paper doi abstract bibtex Object-based video coding is a relatively new technique to meet the fast growing demand for interactive multimedia applications. Compared with conventional frame-based video coding, it consists of two types of source data: shape information and texture information. Recently, joint source-channel coding for multimedia communications has gained increased popularity. However, very limited work has been conducted to address the problem of joint source-channel coding for object-based video. In this paper, we propose a cost-distortion optimal unequal error protection (UEP) scheme for object-based video communications. Our goal is to achieve the best video quality (minimum total expected distortion) with constraints on transmission cost and delay in a lossy network environment. The problem is solved using Lagarangian relaxation and dynamic programming. The performance of the proposed scheme is tested using simulations of a narrow-band block-fading wireless channel with additive white Gaussian noise and a simplified differentiated services Internet channel. Experimental results indicate that the proposed UEP scheme can significantly outperform equal error protection methods. © 2005 IEEE.
@article{wang2005cost,
abstract = {Object-based video coding is a relatively new technique to meet the fast growing demand for interactive multimedia applications. Compared with conventional frame-based video coding, it consists of two types of source data: shape information and texture information. Recently, joint source-channel coding for multimedia communications has gained increased popularity. However, very limited work has been conducted to address the problem of joint source-channel coding for object-based video. In this paper, we propose a cost-distortion optimal unequal error protection (UEP) scheme for object-based video communications. Our goal is to achieve the best video quality (minimum total expected distortion) with constraints on transmission cost and delay in a lossy network environment. The problem is solved using Lagarangian relaxation and dynamic programming. The performance of the proposed scheme is tested using simulations of a narrow-band block-fading wireless channel with additive white Gaussian noise and a simplified differentiated services Internet channel. Experimental results indicate that the proposed UEP scheme can significantly outperform equal error protection methods. {\textcopyright} 2005 IEEE.},
author = {{Haohong Wang} and {Fan Zhai} and Eisenberg, Yiftach and Katsaggelos, Aggelos K A.K. and Wang, Haohong and Zhai, Fan and Eisenberg, Yiftach and Katsaggelos, Aggelos K A.K.},
doi = {10.1109/TCSVT.2005.857305},
issn = {1051-8215},
journal = {IEEE Transactions on Circuits and Systems for Video Technology},
keywords = {Differentiated service (Diffserv) network,Joint source-channel coding,Lossy network,MPEG-4 standard,Object-based video,Rate distortion,Unequal error protection (UEP),Video coding,Video communications,Wireless channel},
month = {dec},
number = {12},
pages = {1505--1516},
publisher = {IEEE},
title = {{Cost-distortion optimized unequal error protection for object-based video communications}},
url = {http://ieeexplore.ieee.org/document/1545999/},
volume = {15},
year = {2005}
}
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In this paper, we propose a cost-distortion optimal unequal error protection (UEP) scheme for object-based video communications. Our goal is to achieve the best video quality (minimum total expected distortion) with constraints on transmission cost and delay in a lossy network environment. The problem is solved using Lagarangian relaxation and dynamic programming. The performance of the proposed scheme is tested using simulations of a narrow-band block-fading wireless channel with additive white Gaussian noise and a simplified differentiated services Internet channel. 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