An object recognition system performs a number of rounds of dimensionality reduction and consistency learning on visual content items such as videos and still images, resulting in a set of feature vectors that accurately predict the presence of a visual object represented by a given object name within an visual content item. The feature vectors are stored in association with the object name which they represent and with an indication of the number of rounds of dimensionality reduction and consistency learning that produced them. The feature vectors and the indication can be used for various purposes, such as quickly determining a visual content item containing a visual representation of a given object name.
Currently, automated recognition within a digital video of images of real-world objects of interest to a user, such as people, animals, automobiles, consumer products, buildings, and the like, is a difficult problem. Conventional systems, to the extent that they allow for such recognition at all, typically use supervised learning which requires training sets of images that have been manually labeled as representing particular objects... However, such human input is expensive, time-consuming, and cannot scale up to handle very large data sets comprising hundreds of thousands of objects and millions of images. This is particularly a problem in the context of video hosting systems, such as Google Video or YouTube, in which users submit millions of videos, each containing numerous distinct visual objects over the length of the video. The use of unsupervised learning techniques, in which the explicit input of human operators is not required to learn to recognize objects, has not yet been achieved for large-scale image recognition systems."
Laughing, and crying at the same time.
I'm hoping Google sticks to their "do no evil" mantra, but this really doesn't deserve a patent, just copyrights. The problem and the solution are obvious to everyone - you just need to implement it. If Facebook could recognize your friends... couldn't it recognize most landmarks?
These are basic Machine Learning algorithms.
What part of "Ph'nglui mglw'nafh Cthulhu R'lyeh wgah'nagl fhtagn" don't you understand?
Go to https://www.coursera.org/course/ml and you can learn how to write this too.
Well if apple can pattern round corners i dont see any issues on this one lol
NEWS TIPS |
This site is intended for informational and entertainment purposes only. The contents are the views and opinion of the author and/or hisassociates. All products and trademarks are the property of their respective owners. All content and graphical elements areCopyright © 1999 - 2014 David Altavilla and HotHardware.com, LLC. All rights reserved. Privacy and Terms