The feasibility of a 1000:1 bandwidth compression ratio for image transmission has been demonstrated using image-analysis algorithms and a rule-based controller. Such a high compression ratio was achieved by first analyzing scene content using auto-cueing and feature-extraction algorithms, and then transmitting only the pertinent information consistent with mission requirements. A rule-based controller directs the flow of analysis and performs priority allocations on the extracted scene content. The reconstructed bandwidth-compressed image consists of an edge map of the scene background, with primary and secondary target windows embedded in the edge map. The bandwidth-compressed images are updated at a basic rate of 1 frame per second, with the high-priority target window updated at 7.5 frames per second. The scene-analysis algorithms used in this system cogether with the adaptive priority controller are described. Results of simulated 1000:1 band-width-compressed images are presented.


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    Titel :

    Intelligent Bandwidth Compression


    Beteiligte:
    Tseng, D. Y. (Autor:in) / Bullock, B. L. (Autor:in) / Olin, K. E. (Autor:in) / Kandt, R. K. (Autor:in) / Olsen, J. D. (Autor:in)

    Kongress:

    Image Understanding Systems II ; 1979 ; San Diego,United States


    Erschienen in:

    Erscheinungsdatum :

    1980-02-21





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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