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Google VisualRank Prototype Image Search

     
8:26 am on Apr 28, 2008 (gmt 0)

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Google researchers say they have a software technology intended to do for digital images on the Web what the company’s original PageRank software did for searches of Web pages.

On Thursday at the International World Wide Web Conference in Beijing, two Google scientists presented a paper describing what the researchers call VisualRank, an algorithm for blending image-recognition software methods with techniques for weighting and ranking images that look most similar.

“We wanted to incorporate all of the stuff that is happening in computer vision and put it in a Web framework,” said Shumeet Baluja, a senior staff researcher at Google, who made the presentation with Yushi Jing, another Google researcher. The company’s expertise in creating vast graphs that weigh “nodes,” or Web pages, based on their “authority” can be applied to images that are the most representative of a particular query, he said.

Google VisualRank Prototype Image Search [nytimes.com]
11:58 am on Apr 28, 2008 (gmt 0)

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intended to do for digital images .. what .. PageRank software did for searches of Web pages

Image spam?

12:44 pm on Apr 28, 2008 (gmt 0)

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It's not surprising Google's managed to
whip up an "image recognition" and
sorting algorithm..

I'm betting they roll out an improved version
of the "indexing the spoken audio in videos"
systems that are now beginning to appear,
very shortly, as well.
.

1:16 pm on Apr 28, 2008 (gmt 0)

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Therefore, one could do an image search on a supermodel such as Christie Brinkley or Tyra Banks and come up with photos of women who look like them?

This is going to be annoying for me, because I look just like George Clooney.

2:19 pm on Apr 28, 2008 (gmt 0)

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ya, I see a lot of:

referrer=google
keyword=brad pitt

instances in my log files coming soon! =/

2:36 pm on Apr 28, 2008 (gmt 0)

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"ranking images that look most similar."

PageRank has got (almost) nothing to do with similiarity which is a completely different problem altogether (even though PR is certainly used to pick the highest match from those found to be similar).

kaz

4:28 pm on Apr 28, 2008 (gmt 0)

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software technology?

concentrated on the 2000 most popular product queries

With a team of 150 Google employees, it created a scoring system for image “relevance.”

The researchers said the retrieval returned 83 percent less irrelevant images.

I don't understand how 150 employees scoring a set of 2000 images to reduce irrelvance by 83% = software technology

5:17 pm on Apr 28, 2008 (gmt 0)

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Humans can provide scoring which is analysed for patterns by software and applied to new, unscored by humans, images. Still, 150 people in that team sounds rather high.
6:15 pm on Apr 28, 2008 (gmt 0)

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It's simple technology really.

You know how on Flickr people draw boxes around parts of the image? Or facebook lets you tag people's names?

Now if you search for "boobie", you'll get square snippets of boobies cropped out of flickr images of friends and family.

Or if you search for "Marsha", they'll crop out Marsha from the facebook images. Brilliant.

;)

10:18 pm on Apr 28, 2008 (gmt 0)

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Im not impressed, but another thing is I think we will soon see something in the image rankings, be cause normaly we see a update in images rankings every 3 month, but that has past some time ago now.
10:57 pm on Apr 28, 2008 (gmt 0)

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This is perfect! Now all I need is a mashup that takes Yahoo Local Circles and Google VisualRank so I can find a Charlize Theron look alike within 50 meters! Awesome :)
2:42 am on Apr 29, 2008 (gmt 0)

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Sounds like Like.com I'm sure Burak Gokturk will be interested in Google's "new" image search.

Burak Gokturk -he developed computer vision algorithms at Canesta,Intel and BEKO. He has been in the vision field for more than 8 years,published more than 30 papers, and holds more than 15 patent applications. His computer vision algorithms have been prototyped and/or implemented in various computer vision products. He developed a 3D shape representation scheme, called "Random Orthogonal Shape Sections", which achieved one of the best recognition rates for the detection of colon cancer. His other research concentrated on tracking, detection and recognition of 3D shapes and faces, medical imaging and 3D image compression.
6:49 am on Apr 29, 2008 (gmt 0)

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this sounds good for sure and might lead to better opportunity for smart developers.
 

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