Google image search gets a 'swirl'

Nov 17, 2009
Google Labs on Tuesday brought more focus to finding pictures online, adding a "Swirl" tool that automatically groups similar images into categories presented on results pages.

Google Labs on Tuesday brought more focus to finding pictures online, adding a "Swirl" tool that automatically groups similar images into categories presented on results pages.

"What Image Swirl does is it really organizes automatically image search results into groups and sub-groups," product manager Aparna Chennapragada told AFP.

"It's not just the face, the color, the visual features of the images; we look inside the image and ask how they relate to each other on a pixel level."

Swirl uses algorithms, metadata, and facial recognition software to distinguish between structures, places, people, and even time of day in digital images.

For example, an Image Swirl search using the keyword "Washington" triggers a results page with pictures packed into subsets including the White House, former president George Washington, and actor Denzel Washington.

Clicking on any of the subgroups opens a window into additional "sub-clusters" of pictures categorized by factors such as angle, time of day, and whether an image is a close-up or a panorama.

Online image search has traditionally delivered results pages lined with thumbnail pictures that people sift through individually.

"As humans we can easily tell which images should be grouped together by looking at them," sad Google software engineer Yushi Jing, who worked on Image Swirl underlying technology.

"The real question is can we train computer algorithms to identify common features in images and then categorize them. It's not perfect. We may have mistakes, but we hope to improve this system as we move forward."

People can dabble with Image Swirl at Google Labs. Feedback will be used to improve the tool with the ultimate objective being to one day incorporate it in the California Internet giant's public .

"We are committed to how we look at and understand and organize it for our users," Chennapragada said. "This is the holy grail of computer vision."

Google launched image search in 2001 and later added a "similar images" feature to hone-in picture hunts.

(c) 2009 AFP

Explore further: For jihadists, social media a platform to recruit, spread fear

add to favorites email to friend print save as pdf

Related Stories

Researchers develop new image-recognition software

May 21, 2008

It takes surprisingly few pixels of information to be able to identify the subject of an image, a team led by an MIT researcher has found. The discovery could lead to great advances in the automated identification ...

Recommended for you

Twitter tries to block images of Foley killing

9 hours ago

Twitter and some other social media outlets are trying to block the spread of gruesome images of the beheading of journalist James Foley by Islamic State militants, while a movement to deny his killers publicity ...

New generation is happy for employers to monitor them on social media

9 hours ago

Will employers in the future watch what their staff get up to on social media? Allowing bosses or would-be employers a snoop around social media pages is a growing trend in the US, and now a new report from PricewaterhouseCoopers and the Said Business School suggest ...

User comments : 1

Adjust slider to filter visible comments by rank

Display comments: newest first

SmartK8
not rated yet Nov 18, 2009
It still has some pixel-related problems. Because when I tried to search for Obama, it came alright. Then I clicked a second picture in the results, to find the similar images and it found Mohammed Atta. :/ Otherwise kudos. I'm using this feature for icon search and it's the best, so far.