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Content Based Image Retrieval

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  1. New Search Patent Applications: July 5, 2006 - Google Coming to a Shopping Mall Near You

    A computer implemented information retrieval system is provided. System and method for measuring image similarity based on semantic meaning A method includes deriving a plurality of semantic categories for representing important semantic cues in...

  2. Daily SearchCast, June 13, 2006: Google Still A Tech Company, Says Schmdit; Google Earth Gets New Features; GBuy To Take On eBay's PayPay?; eBay Takes On AdSense; Yahoo Answerers In Times Square

    Technology conference in Munich near the end of March, Indexing Shared Content in Information Retrieval Systems (pdf), jointly authored by employees of Rankings In Google Image Search Amit Agarwal has a nice write-up on how to increase your...

  3. New Search Patent Applications: May 23, 2006 - Yahoo Wallets, Microsoft Answers, and Google Phrases

    Multiple index based information retrieval system A related, earlier patent application from her is Phrase-based searching in an information retrieval system. An information retrieval system uses phrases to index, retrieve, organize and describe...

  4. Daily SearchCast, May 23, 2006: Google Removes Sites Over Hate Speech From News; Google Bug Makes Your Site Seem To Disappear; MSN Gives ODP Description Opt-Out (Hurray!) & More!

    Experimental image search services are trying to overcome the inherent challenges with image retrieval by allowing you to use a reference image as a starting point to find similar images based on color, texture and so on.

  5. New Search Patents: May 3, 2006 - Microsoft and IBM Dominate with Recent Search Filings

    A computer-implemented method for processing documents in a document database includes generating an initial ranking of retrieved documents using an information retrieval system and based upon a user search query, and processing vocabulary words...

  6. Microsoft's "Google Base" is Code Named Fremont & MS Receives Patent For Semi-Auto Annotation of Multimedia Objects

    The annotation process is "semi-automatic" in that it utilizes both keyword-based information retrieval and content-based image retrieval techniques to automatically search for multimedia objects, and then encourages users to provide feedback on...