John M. Danskin

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Images are usually transmitted across the Internet using a lossless protocol such as TCP/IP. Lossless protocols require retransmission of lost packets, which substantially increases transmission time. We introduce a fast lossy Internet image transmission scheme (FLIIT) for compressed images which eliminates retransmission delays by strategically shielding(More)
Network bandwidth has always been a key issue for multimedia protocols. Many potential users of networked multimedia protocols will continue to have low bandwidth network connections for some time: copper wire ISDN, infra-red, cellular modems, etc.. Compression provides potential relief for users of slow networks by increasing effective bandwidth. Higher(More)
Images are usually transmitted across the Internet using a lossless protocol such as TCP/IP. Lossless protocols require retransmission of lost packets, which substantially increases transmission time. We introduce a fast lossy Internet image transmission scheme (FLIIT) for compressed images which uses forward error correction to eliminate retransmission(More)
Pattern-matching based document compression systems rely on finding a small set of patterns that can be used to represent all of the ink in the document. Finding an optimal set of patterns is NP-hard; previous compression schemes have resorted to heuristics. We extend the cross-entropy approach, used previously for measuring pattern similarity, to this(More)
We present a Pattern Matching Based Compression (PMBC) system which compresses scanned documents into PostScript format. The output of a PMBC system is a pattern library, or font, and a series of pattern indices and positions. PMBC represents scanned documents in the same way that word processing programs represent their output pages. We explore various(More)
This paper proposes an X Window System protocol compression scheme called Fast Higher Bandwidth X (FHBX). Previous X protocol compression schemes were either much slower (Higher Bandwidth X) or much less eeective (Xremote). By using an application speciic predictive hashing technique, FHBX is able to deliver three times the compression performance of(More)
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