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Proceedings Paper

Optimized packet interleaving for streaming applications on burst-lossy channels
Author(s): Yi Zhao; Honglin Li; Stanley C. Ahalt
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Paper Abstract

Burst packet loss imposes significant quality degradation for streaming applications. Interleaving, which helps reduce the probability of losing adjacent packets, is considered an effective method to mitigate burst errors. Most current research on wavelet image/video streaming is focused on how to maximize the interleaving effect in the spatial or spatial-frequency domain. However, in order to achieve the best video quality, optimizing temporal interleaving is very important, especially when error concealment is present in the streaming system because an inappropriate interleaving method may have an adverse effect on error concealment. Optimization of temporal interleaving on wavelet-compressed image/video streaming has not been previously studied. In this paper a novel optimal packet interleaving method is proposed for streaming applications on burst-loss channels. The objective is to achieve the best video quality at the receiver given an error-concealment algorithm and the channel traffic conditions. The proposed method consists of two steps: 1) spatial interleaving is conducted during packetization to disperse damage resulting from packet loss; 2) temporal interleaving is applied during transmission maximize the effect of error concealment at the receiver. In addition, a new concept that addresses the needs of error concealment, namely "temporal neighbor packet distance" is defined in order to facilitate the optimization. A low computational complexity algorithm is developed to satisfy the requirement of real-time transmission. Experimental results show that our proposed method can consistently improve the effects of error concealment.

Paper Details

Date Published: 15 July 2004
PDF: 11 pages
Proc. SPIE 5438, Visual Information Processing XIII, (15 July 2004); doi: 10.1117/12.542948
Show Author Affiliations
Yi Zhao, The Ohio State Univ. (United States)
Honglin Li, North Dakota State Univ. (United States)
Stanley C. Ahalt, The Ohio State Univ. (United States)

Published in SPIE Proceedings Vol. 5438:
Visual Information Processing XIII
Zia-ur Rahman; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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