Bing partners with Pinterest to add image collections to search results

DNP Bing partners with Pinterest to add image collections to search results

It's no secret that Bing has been waging an uphill battle to stay relevant, and now, Microsoft is hoping that its partnership with Pinterest will be enough to win you over. The Bing team's latest effort combines its own search results with a new feature: image collections, a supplement that presents related Pinterest boards to the right of your main results. For example, an image search for "Pink cupcakes" will pull up a list of boards relevant to your interests. Clicking on one of them -- we opted for "Pretty in pink cupcakes" -- will take you to a new page that collects the user's pinned images along with a direct link to the board on Pinterest. The new feature is designed to introduce a social element to Bing by uniting collections curated by living, breathing humans with the search engine's algorithms. We don't know if it'll be enough to convince people to "Bing it" next time they're on the hunt for images, but we do know that we're now in desperate need of cupcakes.

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Via: The Next Web

Source: Bing

Bing adds licensing rights refinement to image search

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Here's a nice little feature for those of us who love to post images on the internet. Bing has added the ability to refine image results by license. The addition's simple enough to use -- just do a search and pull the appropriate license from a drop down on the top of the results page, alongside options for date, size and color. Selections include public domain and options like "free to modify, share and use," based on the Creative Commons licensing system, so there's no doubt as to precisely how you can incorporate them into your own posts. Google's had a similar option on its own search engine for some time -- albeit one's that's a bit less prominently displayed.

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Source: Bing Blog

Google uses computer vision and machine learning to index your photos

Google uses computer vision and machine learning to index your photos

Tags are so 2008. Google doesn't want you to waste time tagging your photos, except for the people in them. The web giant wants to be able to recognize more abstract concepts like "sunset" or "beach" automatically and attach that metadata without further input. In yet another post-I/O update, Google+ photos now uses computer vision and machine learning to identify objects and settings in your uploaded snapshots. You can simply search for "my photos of trees" or "Tim's photos of bikes" and get surprisingly accurate results, with nary a manually added tag in sight. You can perform the searches in Google+, obviously, but you can also execute your query from the standard Google search page. It's pretty neat, but sadly Mountain View seems to have forgotten what cats look like.

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Source: Inside Search

Microsoft makes Bing image search more social with one-click sharing to Pinterest

Microsoft makes Bing image search more social with oneclick sharing to Pinterest

Companies know how important it is to make their products as friendly as can be with third-party social websites, and Microsoft, for one, has done a pretty fantastic job at making sure the team behind Bing's doing exactly that. To wit, the Surface maker is, as of today, also starting to cater to the Pinterest crowd, announcing that it's now allowing users of the recently redesigned site to share Bing image search findings via a simple click -- assuming you're logged in, naturally. The new sharing feature might seem like a rather minor one on paper, but for avid Pinners, it'll certainly come in handy as they can keep their precious boards stocked up with a little less effort. And, well, you know what that means: more cats.

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Via: The Next Web

Source: Bing

Google Images gets redesigned, focuses on speed and metadata

Google Images gets redesigned, focuses on speed and metadata

Page and Co. have just unveiled a new look for Google Images that places a premium on metadata visibility, speed and slick looks. After gathering feedback from both users and webmasters, Google redesigned its image search to feature relevant information right next to images and speed load times by no longer loading source pages behind selected graphics. Mountain View also designed the new layout with keyboard surfing in mind, to boot. The new UI isn't available across the board quite yet, but the search titan says folks will start to see the refreshed UI in the next few days.

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Source: Google Web Master Central

NEC’s Gaziru takes image recognition to the cloud, looks a lot like Goggles (video)

NEC's Gaziru takes image recognition to the cloud,

While Google's remained relatively quiet on the Goggles front, NEC's picking up where that image recognition left off with its own product, dubbed Gaziru. Showcased at Wireless Japan 2012, the company's angling its service, which aims to leverage both hardware- and cloud-based processing for smartphone queries, towards enterprise and consumer markets, highlighting its usefulness across a range of services from marketing to search. Much like the aforementioned Mountain View version, users would need only to snap a picture of an object with their phones to receive relevant search data, access product manuals or, in one scenario, car and real estate listings. Given its planned commercial launch this June, it won't be long before we'll get a chance to test this software en vivo. For now, content yourself with a translated video tour after the break.

Continue reading NEC's Gaziru takes image recognition to the cloud, looks a lot like Goggles (video)

NEC's Gaziru takes image recognition to the cloud, looks a lot like Goggles (video) originally appeared on Engadget on Thu, 07 Jun 2012 05:32:00 EDT. Please see our terms for use of feeds.

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Google image search results crammed into picture dictionary

Google image search results crammed into picture dictionary

Though not quite a replacement for Mountain View's ill-fated dictionary, this 1,240 page tome contains the first Google image search result for each word in a run-of-the-mill dictionary. With a PHP script, London-based artists Felix Heyes and Ben West scraped the image from each search and compiled an alphabetically ordered PDF brimming with 21,000 images -- safesearch-disabled warts and all. "It's really an unfiltered, uncritical record of the state of human culture in 2012," West told Creative Applications Network. Alas, the volume isn't destined for mass distribution -- presumably to avoid copyright issues -- but the pair is considering sending a small batch of soft cover copies to print.

Google image search results crammed into picture dictionary originally appeared on Engadget on Fri, 01 Jun 2012 00:57:00 EDT. Please see our terms for use of feeds.

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