Flickr Search Hack Powered by Mouse-Made Doodles

Carl Bialik from WSJ writes "Retrievr gives budding artists an impractical but addictive way to find photographs on Flickr: a search engine powered exclusively by mouse-made doodles. From the article: 'Retrievr, Mr. Langreiter says, "doesn't look at specific forms." Art history buffs might like to think of it as photo-search by way of Impressionism. The Retrievr engine dissects a photo like a gallery connoisseur who lost his bifocals: It focuses on regions of colors rather than specific shapes and lines. "It is, actually, a simple scheme," says Mr. Langreiter. Retrievr creates and stores a compact representation of each photo in its database. The system pulls only the most important features — broad shapes, blocks of color and spatial relationships between different colored areas — out of detailed images to create shorthand approximations of every photo. (The storage mechanism extracts the 120 "strongest" features from an image to create something called a "wavelet transform," which contains much less data than the photo itself and facilitates lightning-fast searches.)'"

Comments

Re:That was quick

[Anonymous Coward]

I wish you could take a peek at what other people are "searching" for with this tool at the same time; it would no doubt be profoundly entertaining and troubling.

That was quick

[5of0]

Already partly slashdotted. Very slow and sometimes you don't get in.
But this is an interesting idea, fun if nothing else.
I drew a tree and I got a pineapple with a guy's face in it, a chinese guy standing in front of a gate, and a dragonfly. Maybe I need to brush up on my drawing skills.

*groan*

Re:It's been done before

[Anonymous Coward]

Haar wavelet though? While it's easier computationally (since the mother/father wavelets are peicewise linear in the 1D case) I always saw it as being a "lesser" wavelet in the sense of compression/reconstruction quality and ability to discern edges/other dramatic changes in data. Seems like you'd have better luck with one of the Daubechies wavelets. I imagine though this really would depend on the source images, resolutions color depths, etc.

Or maybe they could use the Mexican Hat wavelet. That one is my favorite!

Other flickr Mashups

[vijaykiran]

This is very old .. I read about this first on webmonkey in Feb.

Ten Best Flickr Mashups
by Michael Calore 24 Feb 2006

Here's the link: Ten Best Flickr Mashups

Feature Vector

[ArikTheRed]

120 features get mapped into a feature vector, effectively pinpointing a position in 120 dimensional space. All of the other images are indexed in the space, and it's a simple nearest-neighbor search to find the best matches. The interesting thing here is that funky things happen to space when you are in very high dimensions, and without creative indexing, it may be just as quick to do a scan and compare against the whole database. Obviously, not optimal. That's what they mean by "simple", since some multimedia search systems deal with indexes of thousands of features - thousands of dimensions.