Technology Research News
Here we present some latest two innovative techniques & research category under MIT & Standford respectively.First is the advanced algorithms for Digitally Simulating a Photo Blur while the other is Defeating CAPTCHA entries in Websites.
- Digitally Simulating Photo Blur
Digitally mimicking the photographic blur caused by moving objects is surprisingly hard, but new research offers ways to make it easier.Recently MIT computer graphics researchers have developed a technique to simulate the photographic blur caused by moving objects (a computationally complex calculation) and the unfocused background of an image when the camera is focused on an object in the foreground.The result could be more convincing video games and frames of digital video that take minutes rather than hours to render (motion doesn’t look fluid without some blur).
It’s a widely used trick in many films,animations that faking or creating miniature scenes of an image using blur technology. For eg:The entire opening sequence for Gulliver’s Travels (2010 film) uses miniature faking by blurring image shots of New York City.To come into detail ,photographs of moving objects are almost always a little blurry — or a lot blurry, if the objects are moving rapidly enough. To make their work look as much like conventional film as possible, game and movie animators try to reproduce this blur. But counterintuitively, producing blurry images is actually more computationally complex than producing perfectly sharp ones.What software you are using , whether it’s Photoshop or any sort , reproduce blur has got its own limitations in gaming /any video industry.
What the above image reveals is that in the reality the currently used technique[photo at right] & the newly developed algorithm[image at middle] recreates the quality of blurred images almost same but in latter case the computation or time used is much better than currently used algorithms, ie. a faster graphic rendering.
In August, at this year’s Siggraph conference — the premier computer-graphics conference — researchers from the Computer Graphics Group at MIT’s Computer Science and Artificial Intelligence Laboratory will present a pair of papers that describe new techniques/Algorithms for computing blur much more efficiently. Even though the paper has yet to be presented, several major special-effects companies have already contacted the researchers about the work.
Want to know more Visit MIT
- Defeating Audio CAPTCHAs
Captchas , certainly a normal web user knows it, Frequently captchas are series of distorted letters that a user has to type prior to registration on a website.That’s a simple test to prove you’re a human, not a computer program with malicious intent.But the latest news is that Researchers at the Stanford Security Laboratory finds a computer program to defeat audio captchas on website account registration forms, revealing a design flaw that leaves them vulnerable to automated attacks.However there are several suggestion around web to defeat Captchas , but this worth effective.
It’s quiet a difficulty for hacking programs to decipher these wavy images crisscrossed with lines, known as captchas (short for Completely Automated Public Turing test to tell Computers and Humans Apart).But there’s a another category of captcha, and it may pose more of a security weakness. These audio captchas, designed to help the visually impaired, require users to accurately listen to a string of spoken letters and/or numbers disguised with background noise.
John Mitchell, a professor of computer science, postdoctoral researcher Elie Bursztein and colleagues built a computer program that could listen to and correctly decipher commercial audio captchas used by Digg, eBay, Microsoft, Yahoo and reCAPTCHA, a company that creates captchas.The Stanford program, called Decaptcha, successfully decoded Microsoft’s audio captcha about 50 percent of the time. It correctly broke only about 1 percent of reCAPTCHA’s codes, the most difficult ones of those tested, but even this small success rate is considered trouble for websites such as YouTube and Facebook that get hundreds of millions of visitors each day.
What the danger in this sort of hacking? Imagine a large network of malicious computers creating many fake accounts on YouTube. This robot network of accounts could highly rate the same video, falsely increasing its popularity and thereby its advertising revenue. “Bot” networks could also swamp email accounts with spam messages.Visit Physorg for more news.