background preloader

ALIPR - Automatic Photo Tagging and Visual Image Search

ALIPR - Automatic Photo Tagging and Visual Image Search
Automatic Photo Tagging and Visual Image Search Exploratory Features: - Rate Your Photos Aesthetically by Computer OSCAR photo feedback engine | Story Picturing Engine - S P E | IMAGINATION captcha #1 top site for "automatic image tagging" or "automatic image recognition" on Google. © alipr.com 2006-2012 US Patents 7,941,009, 7,929,805, 7,394,947 . Patent Pending.

http://alipr.com/

Related:  Content Based Image Retrieval

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 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.

Images from the History of Medicine (IHM) Images from the History of Medicine (IHM) provides access to over 70,000 images in the collections of the History of Medicine Division (HMD) of the U.S National Library of Medicine (NLM). The collection includes portraits, photographs, caricatures, genre scenes, posters, and graphic art illustrating the social and historical aspects of medicine dated from the 15th to 21st century. The records from the Images from the History of Medicine database are also searchable in LocatorPlus. This database assists users in finding and viewing visual material for private study, scholarship, and research. This site contains some materials that may be protected by United States or foreign copyright laws.

Search engine and human edited web directory KartOO Image Recognition and Visual 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 :

List Of Best Image Search Engines If you’re like most web users, when you need a picture you go to Google images, right? Sure, it’s simple and Google casts a wide net, but there are other image search engines that may be useful too. Featured are some from my favorites folder. 1. PicSearch.com imgSeek Image Search Engines - The Best Image Search Engines on the Web By Wendy Boswell Updated July 15, 2015. 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

PicFog - Quick Image Search GazoPa similar image search imense® - Home Lessing Photo Archive Wallpapers by colors

Related: