Lev Manovich

 From Google blog:

Boutiques uses computer vision and machine learning technology to visually analyze your taste and match it to items you would like.”

“First we partnered with taste-makers of all types. We asked them not just to curate 10-50 great items they loved, but also to teach our site their style and taste. They did this by telling us what colors, patterns, brands and silhouettes they loved and they hated. They took a visual quiz that taught the site to understand their style genre: Classic, Boho, Edgy, etc. Our machine learning algorithms use this information to enable you to shop all of the inventory in the style of that taste-maker, on top of the 50 items they’ve hand-curated.”

“We analyze the photograph of an item for its color, shape and pattern and try to help you find visually similar items.”

“Nose surgery is so popular among girls turning 18 and 21 that some are even wearing plasters across their noses as a fashion statement.”

Source: Nadim Dimenchkie, The City Reports: Beirut, The, issue 01, 17.09.2007, p. 11.

Tired of the typical “wearable computing” or yet another expensive jacket with the pockets for a media player? Is iPod+Nike leave you cold? There are, however, signs that some fashion designers, photographers and other creatives in fashion and product industries are beginning to figure more imaginative ways of bringing technology into their designs.


Hussein Chalayan Fall 2008 Ready-to-Wear Collection on Style.com: Runway Review

Playing: Hussein Chalayan | Swarovski Sparkles TV (starts at 11:00)