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}}</ref><ref name="Rui">{{cite journal|last1=Rui|first1=Yong|last2=Huang|first2=Thomas S.|last3=Chang|first3=Shih-Fu|title=Image Retrieval: Current Techniques, Promising Directions, and Open Issues|journal=Journal of Visual Communication and Image Representation|date=1999|volume=10|pages=39–62|doi=10.1006/jvci.1999.0413|citeseerx=10.1.1.32.7819|s2cid=2910032 }}{{dead link|date=September 2017 |bot=InternetArchiveBot |fix-attempted=yes }}</ref> Recent network- and graph-based approaches have presented a simple and attractive alternative to existing methods.<ref name="Banerjee">{{cite journal|last1=Banerjee, S. J.|display-authors=et al|title=Using complex networks towards information retrieval and diagnostics in multidimensional imaging|journal=Scientific Reports|date=2015|volume=5|pages=17271|doi=10.1038/srep17271|arxiv=1506.02602|pmid=26626047|pmc=4667282|bibcode=2015NatSR...517271B}}</ref>
While the storing of multiple images as part of a single entity preceded the term [[Object storage|BLOB]] ('''B'''inary '''L'''arge '''OB'''ject),<ref>{{cite web
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