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List of CBIR engines

List of CBIR engines

How to Search Images Online –Search Engine Journal Image search is evolving rapidly. Today the machine understands much more about images than just a year ago: it can read the text on the image, see its colors and classify it based on its form, shape and textures. So which advanced image search methods can we use today? Image search based on image content (face / landscape / photo / product image search) Face search has been a hot topic recently. Exalead has become known for integrating facial recognition technology but it still lacks some accuracy. Image search based on color Picitup allows to set color preferences (choose among 18 colors to set the search dominating palette);PicSearch and Snap.com recognize between colorful and black-and-white images.Etsy searches only inside its own product database but its color-based search engine is both fun and pleasure to play with. Image search based on similarity Recently launched Tineye.com (registration required) searches for similar images online.

Qrobe - Search Engine imense® List of academic databases and search engines Wikipedia list article This article contains a representative list of notable databases and search engines useful in an academic setting for finding and accessing articles in academic journals, institutional repositories, archives, or other collections of scientific and other articles. Databases and search engines differ substantially in terms of coverage and retrieval qualities.[1] Users need to account for qualities and limitations of databases and search engines, especially those searching systematically for records such as in systematic reviews or meta-analyses.[2] As the distinction between a database and a search engine is unclear for these complex document retrieval systems, see: the general list of search engines for all-purpose search engines that can be used for academic purposesthe article about bibliographic databases for information about databases giving bibliographic information about finding books and journal articles. Operating services[edit] See also[edit] References[edit]

imgSeek 99 Resources to Research & Mine the Invisible Web College researchers often need more than Google and Wikipedia to get the job done. To find what you're looking for, it may be necessary to tap into the invisible web, the sites that don't get indexed by broad search engines. The following resources were designed to help you do just that, offering specialized search engines, directories, and more places to find the complex and obscure. Search Engines Whether you're looking for specific science research or business data, these search engines will point you in the right direction. Turbo10: On Turbo10, you'll be able to search more than 800 deep web search engines at a time. Databases Tap into these databases to access government information, business data, demographics, and beyond. GPOAccess: If you're looking for US government information, tap into this tool that searches multiple databases at a time. Catalogs If you're looking for something specific, but just don't know where to find it, these catalogs will offer some assistance. Directories

Image retrieval The first microcomputer-based image database retrieval system was developed at MIT, in the 1990s, by Banireddy Prasaad, Amar Gupta, Hoo-min Toong, and Stuart Madnick.[1] A 2008 survey article documented progresses after 2007.[2] Search methods[edit] Image search is a specialized data search used to find images. Image meta search - search of images based on associated metadata such as keywords, text, etc.Content-based image retrieval (CBIR) – the application of computer vision to the image retrieval. Data Scope[edit] It is crucial to understand the scope and nature of image data in order to determine the complexity of image search system design. Archives - usually contain large volumes of structured or semi-structured homogeneous data pertaining to specific topics.Domain-Specific Collection - this is a homogeneous collection providing access to controlled users with very specific objectives. Evaluations[edit] See also[edit] References[edit] Jump up ^ Prasad, B E; A Gupta, H-M Toong, S.E.

The Invisible Web What is the Invisible Web? How can you find it online? What makes the Invisible Web search engines and Invisible Web databases so special? Find out the answers to these questions and learn more about this section of the Web that's so much larger than what you can uncover with an ordinary Web search. How to Mine the Invisible Web: The Ultimate GuideThe Invisible Web is a mammoth resource that is mostly untapped. Invisible Web People SearchThe Invisible Web is a goldmine of information, and since the Invisible Web is larger by far than the parts of the Web we can access with a simple search engine query, there's potentially much more information available. Five Search Engines You Can Use to Search the Invisible WebUnlike pages on the visible Web (that is, the Web that you can access from search engines and directories), information in the Invisible Web is just not visible to the software spiders and crawlers that create search engine indexes. The Invisible Web: How to Find It.

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