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Content-based image retrieval
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==Applications== Potential uses for CBIR include:<ref name="Eakins"/> * Architectural and engineering design * [[Art collections]] * [[Crime prevention]] * [[Geographic information systems|Geographical information]] and [[remote sensing]] systems * [[Intellectual property]] * [[Medical diagnosis]] * [[Military]] * Photograph archives * Retail catalogs * Nudity-detection filters<ref>{{cite journal | last=Wang |first = James Ze |author2=Jia Li |author2-link=Jia Li|author3=Gio Wiederhold |author4=Oscar Firschein|title=System for Screening Objectionable Images|journal=Computer Communications|year = 1998|volume=21|issue=15|pages=1355β1360|doi=10.1016/s0140-3664(98)00203-5|citeseerx = 10.1.1.78.7689 }}</ref> * [[Facial recognition system|Face Finding]] * Textiles Industry<ref name="Bird">{{cite conference | last=Bird | first=C.L. | author2=P.J. Elliott |author3=E. Griffiths | title=User interfaces for content-based image retrieval |book-title=IEE Colloquium on Intelligent Image Databases |publisher=IET |doi=10.1049/ic:19960746 |date=1996}}</ref> Commercial Systems that have been developed include:<ref name="Eakins"/> * IBM's QBIC * Virage's VIR Image Engine * Excalibur's Image RetrievalWare * VisualSEEk and WebSEEk * Netra * MARS * Vhoto * Pixolution Experimental Systems include:<ref name="Eakins"/> * MIT's Photobook * Columbia University's WebSEEk * Carnegie-Mellon University's Informedia * iSearch - PICT
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