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Proceedings Paper

Layered compression scheme for multicasting medical images across heterogeneous networks
Author(s): Anindo Banerjea; Wai-tian Tan; Avideh Zakhor
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Paper Abstract

In this paper we evaluate a layered coding technique based on subband coding for the purpose of encoding medical images for realtime transmission over heterogeneous networks. The objective of this research is to support a medical conference in a heterogeneous networking scenario. The scalable coding scheme under study in this paper generates a single bit-stream, from which a number of sub-streams of varying bit-rates can be extracted. This makes it possible to support a multicast transmission scenario, where the different receivers are capable of receiving different bit- rate streams from the same source, in an efficient and scalable way. The multirate property also allows us to provide graceful degradation to loss when used over networks which support multiple priorities. This paper evaluates the quality of the video images encoded with the layered encoding technique at different bit-rates in terms of the peak signal to noise ratio for cine-angiogram video. It also describes experiments with the transmission of the video across an asynchronous transfer mode (ATM) local area network, using two layer encoded video stream, and assigning different network service classes to the two layers. We study how the quality of the reconstructed signal changes with the ratio of the bit-rates of the high and low priority layers, for various levels of congestion in the ATM network.

Paper Details

Date Published: 7 May 1997
PDF: 12 pages
Proc. SPIE 3031, Medical Imaging 1997: Image Display, (7 May 1997); doi: 10.1117/12.273904
Show Author Affiliations
Anindo Banerjea, Philips Research Labs. (Canada)
Wai-tian Tan, Univ. of California/Berkeley (United States)
Avideh Zakhor, Univ. of California/Berkeley (United States)

Published in SPIE Proceedings Vol. 3031:
Medical Imaging 1997: Image Display
Yongmin Kim, Editor(s)

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