Content Based Image Retrieval
Most Image search engines trie to find images based on the desciption (in the text) of the image (or meta-information in the image file itself), the tags that are applied to the image or the text surrounding the image on the webpage.
CBIR-search engines contains try to analyse the actual picture itself to find matches.It analyzes what the "input-image" looks like and tries to find similar images. Some can filter on color or shape, other require you to upload an image (p.e. from the web or your computer). Sep 12
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ALIPR - Automatic Photo Tagging and Visual Image Search
Automatic Photo Tagging and Visual Image Search Exploratory Features: ACQUINE - Rate Your Photos Aesthetically by Computer © alipr.com 2006-2012 US Patents 7,941,009, 7,929,805, 7,394,947 . Patent Pending. All rights reserved. Image copyright remains with the original owner.
Image Recognition and Visual Search
Our image recognition products connect images to relevant information. You snap a picture, we tell you what's in it. With this, our products enable you to share, explore and remember things visually.
List of CBIR engines - Wikipedia, the free encyclopedia
From Wikipedia, the free encyclopedia This is a list of publicly available Content-based image retrieval (CBIR) engines, these image search engines look at the content (pixels) of their images in order to return results that match a particular query. This Web-Solution implements a new family of CBIR descriptors. These descriptors combine in one histogram color and texture information and are suitable for accurately retrieving images.Welcome to Tiltomo. Here you can play with our Visual Search code using two sample databases from flickr. Getting started is easy, search for a tag or click random.
Content Based Visual Image Search : Tiltomo
Idée Labs
About Idée Labs This playground showcases Idée's ground-breaking visual search technologies.We extracted the colours from 10 million of the most " interesting " Creative Commons images on Flickr.
Multicolr Search Lab - Idée Inc.
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.
I am sure that if you are like us, you have been dreaming of a TinEye android application for quite some time now. Our beta release today won’t really help you unless – like us – you are a Nexus One user! If you are, well, rejoice: the TinEye Android Beta is here . It is a rough beta as we are just getting it out to do some testing.
TinEye Android Beta!
SnapTell - Visual Product Search-Mobile
We are a visual search company. Our Snap.Send.Get™ image matching solution converts an image into a 100% opt-in, interactive search target... » READ MORECortexica API has launched Cortexica Vision Systems has released an API, which will allow app developers to upload images to be hosted and matched against visual queries from an app. You can chose to keep these to your app only, or have them part of a wider database of images. Want to find out more?
bio-inspired vision systems for intelligent image recognition
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