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Similar Images - find the right image - fast

Similar Images - find the right image - fast
Related:  Content Based Image Retrieval

imgSeek imense® - Home 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 traditional concept-based approaches (see concept-based image indexing). History[edit] The term "content-based image retrieval" seems to have originated in 1992 when it was used by T. The earliest commercial CBIR system was developed by IBM and was called QBIC (Query by Image Content).[3] Technical progress[edit] The interest in CBIR has grown because of the limitations inherent in metadata-based systems, as well as the large range of possible uses for efficient image retrieval. CBIR techniques[edit] Query techniques[edit] Color[edit] Shape[edit]

Shop by Color GazoPa similar image search 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 : J’ai fini mon billet, trouvé une photo, … puis suis revenu et j’ai cliqué : Dans la zone, j’ai pu insérer la jolie URL de ma photo : Et la machin à trouvé : C’est très fort !

Quick Screen Capture tool. Take Screenshots, Edit and Share them RGB80 - Flickr Photos: mosaic TinEye image search reverse TinEye is a reverse image search engine. TinEye is a reverse image search engine. It finds out where an image came from, how it is being used, if modified versions of the image exist, or if there is a higher resolution version. TinEye TinEye is a reverse image search engine. TinEye is the first image search engine on the web to use image identification technology rather than keywords, metadata or watermarks. TinEye regularly crawls the web for new images, and we also accept contributions of complete online image collections. Company Profile TinEye is brought to you by the good folks at Idée Inc., an advanced image recognition and search software company. PixID – Editorial image monitoring for the news and entertainment photo industry. Idée is an independent, privately held company headquartered in Toronto, Canada and we are hiring. TinEye Contributors Our goal with TinEye is to connect images and information and to make sure that images can be attributed to their creator.

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