Knowledge-based remote image processing and compression for efficient transmission

Leiguang Gong, Ivan Marsic, Reuben Mezrich, Casimir A. Kulikowski

Research output: Contribution to conferencePaperpeer-review

Abstract

The increasing demand for remote analysis and efficient transmission of visual data such as medical images for purposes of teleradiology, telesurgery, and biomedical research and education poses difficult challenges in the representation, retrieval, analysis, and display of large databases of visual information. In this paper we describe a prototype system, INFOPLAN currently under development, which comprises a client-server environment and uses a combination of knowledge-based planning and generic image processing methods together with standard compression techniques to enable intelligent analysis and rapid retrieval/transmission of images across telecommunications network.

Original languageAmerican English
Pages114-118
Number of pages5
StatePublished - 1995
EventProceedings of the 1995 IS&T's 48th Annual Conference - Washington, DC, USA
Duration: May 7 1995May 11 1995

Other

OtherProceedings of the 1995 IS&T's 48th Annual Conference
CityWashington, DC, USA
Period5/7/955/11/95

ASJC Scopus subject areas

  • General Engineering

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