Google To Fine-Tune Image Searches - InformationWeek

InformationWeek is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Mobile // Mobile Applications
11:57 AM
Eric Ogren
Eric Ogren

Google To Fine-Tune Image Searches

So you performed an image search for "Corvette," and instead of finding the spy shot of the C7 you had in mind, you end up with irrelevant pictures of

So you performed an image search for "Corvette," and instead of finding the spy shot of the C7 you had in mind, you end up with irrelevant pictures of some guy's 1977 show 'Vette. That's about to change. Google's scientists recently unveiled a new way to perform image searches, called VisualRank, that will help you find exactly what you're looking for.Please do not use this as an excuse to perform random searches for (insert hot model name here). Though VisualRank will certainly help in that regard, too, what Google really wants is to make image search useful when you need to find an exact image.

VisualRank is "an algorithm for blending image-recognition software methods with techniques for weighting and ranking images that look most similar," writes the New York Times. It tackles some fundamental issues that make image searches problematic. Right now, image searches turn up results based on the keywords that are tagged to the photos, not the objects in the photos themselves. So you may be looking for a picture of that sexy new HDTV from Philips, but instead you get a picture of Christian Slater because he's tagged as providing the voice over for the TV's commercial. Not a very useful result.

In response, Google has begun indexing images on the Web. Not all of them, mind you. That task is deemed nearly impossible. The New York Times explains:

Google does not disclose how many images it has cataloged, but it asserts that its Google Image Search is the "most comprehensive image search on the Web." The company said that in its research it had concentrated on the 2000 most popular product queries on Google's product search, words such as iPod, Xbox and Zune. It then sorted the top 10 images both from its ranking system and the standard Google Image Search results. With a team of 150 Google employees, it created a scoring system for image "relevance." The researchers said the retrieval returned 83% less irrelevant images.
With 83% less irrelevant images, it's obviously far from perfect. This should still reduce the time it takes to find the exact image you're seeking. And as we all know, speediness is one of Google's fortes.

We welcome your comments on this topic on our social media channels, or [contact us directly] with questions about the site.
Comment  | 
Email This  | 
Print  | 
More Insights
2021 Outlook: Tackling Cloud Transformation Choices
Joao-Pierre S. Ruth, Senior Writer,  1/4/2021
Enterprise IT Leaders Face Two Paths to AI
Jessica Davis, Senior Editor, Enterprise Apps,  12/23/2020
10 IT Trends to Watch for in 2021
Cynthia Harvey, Freelance Journalist, InformationWeek,  12/22/2020
White Papers
Register for InformationWeek Newsletters
All Videos
Current Issue
2021 Top Enterprise IT Trends
We've identified the key trends that are poised to impact the IT landscape in 2021. Find out why they're important and how they will affect you.
Back Issues | Must Reads
Flash Poll