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Utiliser Google Images pour trouver l'original d'une photo sur le web

Alors que je parlais hier d’une application qui permettait de retrouver la source d’une image (c'est-à-dire où elle avait été diffusée auparavant sur le Web), j’ai lu dans l’après-midi que Google déployait progressivement la même chose depuis. Miracle ! C’est apparu, pour moi, au moment où je cherchais une photo pour illustrer mon billet politique à propos de la Grèce. Ca se traduit par un dessin d’appareil photo dans Google Images : http://www.aubistrogeek.com/2011/06/utiliser-google-images-pour-trouver.html
Online Search Tools - Image Retrieval/Search

Content-based image retrieval

General scheme of content-based image retrieval Content-based image retrieval ( CBIR ), also known as query by image content ( QBIC ) and content-based visual information retrieval ( CBVIR ) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [ 1 ] for a recent scientific overview of the CBIR field). Content based image retrieval is opposed to concept based approaches (see concept based image indexing ). "Content-based" means that the search will analyze the actual contents of the image rather than the metadata such as keywords, tags, and/or descriptions associated with the image. The term 'content' in this context might refer to colors, shapes, textures, or any other information that can be derived from the image itself. http://en.wikipedia.org/wiki/Content-based_image_retrieval
Color tools

http://websearch.about.com/od/imagesearch/a/image.htm

Image Search Engines - The Best Image Search Engines on the Web

Images are one of the most popular searches on the Web, year after year. We use them as part of a project, to decorate our websites, blogs, or social networking profiles, and for so much more. Here is a collection of just a few of the best sites for finding images online.*