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        <identifier>oai:meral.edu.mm:recid/4569</identifier>
        <datestamp>2021-12-13T02:14:22Z</datestamp>
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          <dc:title>Content-Based Multimedia Information Retrieval for Unstructured Data</dc:title>
          <dc:creator>Aye, Kyar Nyo</dc:creator>
          <dc:creator>Thein, Ni Lar</dc:creator>
          <dc:description>The Internet is a huge collection of data thatis highly unstructured which makes it extremelydifficult to search and retrieve valuableinformation. Due to the massive number ofunstructured data, multimedia search enginesthat search and rank them based on theirrelevance to user queries become essential forinformation seeking. In other words, high searchefficiency is one of the key design andimplementation objectives of multimedia searchengines. In this paper, we propose efficientindexing and search system for unstructured databy combining text-based information retrievaland content-based information retrieval methods.</dc:description>
          <dc:date>2011-03-02</dc:date>
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