Intelligent Big Information Retrieval of Smart Library Based on Graph Neural Network (GNN) Algorithm

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Digital processing system</td><td class="align_center">Compression format</td><td class="align_center">Output format</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">TPI</td><td class="align_center">The binary image is compressed by JBIG and the gray image is compressed by JPEG</td><td class="align_center">CAJ,PDF,KDH</td></tr><tr><td class="align_left">TBS</td><td class="align_center">G4 compression is used for black-and-white images, and JPEG and JPEG2000 compression are used for gray and color images</td><td class="align_center">PDF</td></tr><tr><td class="align_left">TRS</td><td class="align_center">The text is compressed by LZW</td><td class="align_center">PDF,HTML,XML</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison between compression technology and output format of main digital processing systems.</div>

Computational Intelligence and Neuroscience

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Table 1

Table 1: Intelligent Big Information Retrieval of Smart Library Based on Graph Neural Network (GNN) Algorithm 