NDLI: Image-compression for wireless World Wide Web browsing: a neural network approach

Content Provider	IEEE Xplore Digital Library
Author	Vlajic, N. Card, H.C. Kunz, T.
Copyright Year	2000
Description	Author affiliation: Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada (Vlajic, N.)
Abstract	The implementation of an intermediary-proxy is a common approach to the problem of network heterogeneity in the Internet infrastructure. Due to the hypertext nature of the most popular Internet application-the World Wide Web, image compression is considered to be one of the fundamental functions of such a proxy. It has been observed that most images embedded into Web documents are of 'information-delivery' type, so an algorithm intended for their compression has to satisfy some specific requirements. First, in order to support network (bandwidth) constraints for an arbitrary case, the algorithm should be inherently adaptive, i.e. able to provide a wide range of compression rates. Second, as dealing with images that are integral parts of an interactive application (such as a Web browser), the algorithm should be capable of preserving a sufficient level of image semantics according to the quality standards of human perception. The vector quantization (VQ) technique, in its general form, is proven to satisfy the first requirement. On the other hand, a modified adaptive resonance (modified ART2) learning algorithm (which we employ in this paper) more properly belongs to the family of NN algorithms whose main goal is the discovery of input data clusters, without considering their actual size. This feature makes the modified ART2 algorithm satisfy the second requirement. Thus, the discussion and results presented are intended to show that modified ART2 underlying the general VQ procedure is an appropriate techniques for image compression purposes in a bandwidth-constrained environment.
Starting Page	169
Ending Page	174
File Size	619208
Page Count	6
File Format	PDF
ISBN	0769506194
ISSN	10987576
DOI	10.1109/IJCNN.2000.857832
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-27
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web sites Image coding Clustering algorithms IP networks Internet Bandwidth Humans Vector quantization Resonance Neural networks
Content Type	Text
Resource Type	Article

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