Jenny from the internet: Jennifer Lopez' Versace dress was the inspiration behind Google's image search, says Eric Schmidt
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Fifteen years ago, Jennifer Lopez' shimmering, navel-baring Versace gown captivated the world
Fifteen years ago, Jennifer Lopez' shimmering, navel-baring Versace gown captivated the world.
So much so that, long before Kim Kardashian was breaking the internet, J Lo's 2000 red carpet appearance set the web ablaze.
It even caught the attention of Google executive, Eric Schmidt, who has revealed that the plunging dress was his inspiration for creating Google Images.
'When Google was launched, people were amazed that they were able to find out about almost anything by typing just a few words into a computer,' he told project-syndicate.com.
Google co-founders Larry Page and Sergey Brin – like all other successful inventors – kept iterating, said Schmidt. They started with images, because people wanted more than just text.
'This first became apparent after the 2000 Grammy Awards, where Jennifer Lopez wore a green dress that, well, caught the world's attention,' added Schmidt.
'At the time, it was the most popular search query we had ever seen.
'But we had no surefire way of getting users exactly what they wanted: J Lo wearing that dress. Google Image Search was born.'
Before Google Image Search, web surfers could only search through a page of text divided by 10 blue links.
This meant they first had to click on these links before finding out if J Lo's dress was featured.
When Google Images was launched in July 2001, the site offered access to 250 million images. Just ten year later, that figure reached more than 10 billion.
The dress is one of the few articles of specific clothing to be honoured its own Wikipedia page.
After hearing the news, the 45-year-old singer shared an old picture of her in that dress on Instagram.
She added: 'WHO KNEW!! #onepersoncanchangetheworld #onedresscanchangetheworld #jlo+versace=history #positivechange #funfacts LOL'
The dress caught the attention of Google executive, Eric Schmidt (pictured), who recently revealed that it was his inspiration for creating Google Images
Google has big plans for its image search. A team of Google researchers recently developed an advanced image classification and detection algorithm called GoogLeNet, which is twice as effective than previous programs.
It is so accurate it can locate and distinguish between a range of object sizes within a single image, and it can also determine an object within, or on top of, an object, within the photo.
The software recently placed first in the ImageNet large-scale visual recognition challenge (ILSVRC).
Google has made the software open to other developers, to help increase its accuracy, and in the future, the technology could be used to improve Google Image searches.
It could also scour YouTube videos for specific objects or shapes.
Put the internet to work for you.
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