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Proceedings Paper

Innovative framework for 3D wavelet video streaming
Author(s): Jianyu Dong; Yuan F. Zheng
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Paper Abstract

Effective and efficient video streaming has become a popular research topic in recent years. Significant research has been done on streaming techniques for MPEG video. In comparison, research on the same for wavelet-compressed video is far from adequate. In the paper, we exploit the features of the 3-D wavelet video in streaming applications to design a novel streaming framework. The new framework takes into consideration of the video content in both compression and transmission scheme for optimal performance. The framework consists of two parts: a compression module specially designed for video streaming and a robust transmission module. In the compression module, the input video is first segmented into GOFs (group of frames) by a dynamical grouping approach such that the frames of the same GOF have similar contents. Then the integer-based 3-D wavelet transform is used to achieve real-time computation. To prevent error propagation in the streaming, a bounded coding scheme is employed such that the output bitstreams of different subbands are independent. In the transmission module, a content-based retransmission scheme is adopted to minimize the distortion caused by packet loss, while subjecting to both rate and delay constraints. The optimized transmission is achieved by a fast decision-making system that employs a heuristic algorithm to drop the least significant packets if necessary to ensure the delivery of more important ones in the same GOF. Furthermore, optimal bandwidth allocation between different GOFs is implemented to keep the video quality consistent regardless of the packet loss rate. Experimental results are provided to show the effectiveness of the designed framework.

Paper Details

Date Published: 30 July 2002
PDF: 12 pages
Proc. SPIE 4736, Visual Information Processing XI, (30 July 2002); doi: 10.1117/12.477573
Show Author Affiliations
Jianyu Dong, The Ohio State Univ. (United States)
Yuan F. Zheng, The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 4736:
Visual Information Processing XI
Zia-ur Rahman; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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