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Martech: Social

UGC Platform Chute Can Now See

New machine vision allows brands to find logos, objects or scenes in user-generated imagery, for deployment to social accounts and conversations.

Barry Levine on October 27, 2015 at 9:00 am
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Chute's visualization of its new machine vision

Chute’s visualization of its new machine vision

Chute is adding eyes to its platform for user-generated content (UGC).

Previously, the platform allowed brands to search hashtags, keywords or comments attached to appropriate images created by social media users — that is, searching by text. Now, the company has developed and is today launching its IRIS image recognition technology for detecting a logo, object or scene in an image.

CTO Gregarious Narain told me that, while machine vision companies like Ditto Labs, Clarifai or gazeMetrix (recently acquired by social analytics firm Sysomos) can offer similar vision technology, Chute is the only one that combines machine vision with social marketing tools.

In addition to IRIS, the company is also announcing today a social posting tool that lets marketers send or schedule images for social accounts or conversations. Previously, the platform required users to download the located images and then post them manually.

Additionally, a new Discover feature enables searches that combine text and vision or spot trends, and it allows image rights to be obtained and managed within the same interface.

A screen in Chute Discover, employing IRIS vision technology.

A screen in Chute Discover, employing IRIS vision technology.

Narain said that the new vision technology can determine if an image contains such objects as a bottle, a cup or a face. It can’t yet conduct facial recognition so you could find all the images with, say, Kim Kardashian’s face in them, but it does know if some face is there. It can also find such scenes as a sunset or a visit to a beach, and it can locate photos that match existing images, like another picnic scene. Multiple search criteria can also be used, such as photos of cars in picnic shots.

The machine vision currently searches a “firehose” feed of millions of images that users have posted to Instagram and Twitter since that brand’s feed was set up, or of images relating to specific conversations. The company said it will add Facebook by December and eventually will enable searching of imagery going back months.

Chute clients include NBCUniversal, Condé Nast, the National Basketball Association, the United Nations, the The New York Times and Ford Motor Co.



About The Author

Barry Levine
Barry Levine covers marketing technology for Third Door Media. Previously, he covered this space as a Senior Writer for VentureBeat, and he has written about these and other tech subjects for such publications as CMSWire and NewsFactor. He founded and led the web site/unit at PBS station Thirteen/WNET; worked as an online Senior Producer/writer for Viacom; created a successful interactive game, PLAY IT BY EAR: The First CD Game; founded and led an independent film showcase, CENTER SCREEN, based at Harvard and M.I.T.; and served over five years as a consultant to the M.I.T. Media Lab. You can find him at LinkedIn, and on Twitter at xBarryLevine.

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Channel: Martech: SocialMarketing Tools: Social MediaSocial Media Marketing

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