Two weeks after Twitter acquired the magic pony to advance their smarts machine learning to improve the experience of pictures and videos of users on its platform, Google is doing the same. Today, the maker of Android and search giant announced that it has acquired Moodstocks, a startup based in Paris that technology image recognition based on machine learning for smartphones whose APIs for developers is developed have been described as "Shazam for images."
API and SDK Moodstocks' will be discontinued "soon", according to an announcement on the website of the company. "Our goal is to create large image recognition tools within Google, but you can be sure that the current Moodstocks paying customers can use until the end of your subscription," the company said.
Terms of the deal were not disclosed and it is unclear how Moodstocks had raised: CrunchBase not notice any money VC, although when we first wrote about the company in 2010 noted that it had raised $ 500,000 in seed funding from investors European. As a benchmark, Twitter paid a whopping $ 150 million in cash for the acquisition of UK Magic Pony another week.
While magic pony was young and learned, while still largely under the radar, Moodstocks has existed since 2008, while working around the basic premise of improving image recognition through mobile devices . "Our dream has been to give machines eyes rolling cameras intelligent sensors able to make sense of their environment," the company writes in its acquisition / goodbye / hello note.
It seems that Moodstocks initially tried his hand at creating their own consumer applications, one of which was an application of social networks of all kinds: they let people take pictures of the media, such as books, then add your own notes about the media that would unite with other people annotations, as a recognition of special behind the scenes that would match the "fingerprint" on snaps of different people image.
An interesting idea, but he not removed, and as the company pivoted to offer its technology to other developers, at least one of its applications, Moodstocks scanner, became the SDK tools for testing before deploying it in your own application.
Google did not specify whether it will be launching its own SDK for developers to incorporate more images in applications services, or whether it will be the incorporation of technology exclusively in their own services for the consumer. What it does say is that it will bring Moodstocks team '- the launch was co-founded by Denis Brule and Cedric Deltheil - and technology company in its R & D operations based in France.
In a brief statement, Vincent Simonet, who runs the center, says that Google sees the Moodstocks work 'contributing to improved image searches, a service that is of course because it is offered in Google but now will be improved. "We have made great strides in terms of visual recognition," writes (in French), "but there is still much to do in this area."
It is unclear whether the Moodstocks work 'remains something designed for smartphones or whether to apply elsewhere. And there are areas where machine learning algorithms Moodstocks "could be useful, for example, Google searches to" learn "more about how to find images that are similar and / or related terms of verbal search. Google could also potentially use technology in an existing application, such as photos.
Or it could make an appearance in a future product that has not yet been implemented, although the most obvious use case for smartphones, is here: in a small terminal with a touch screen, users are so generally less inclined to enter text; and they may be using their own images (poor quality) to find other similar: In both of these scenarios, you have a tool for visual recognition stronger (say to take a picture of something and then use it as a search 'term' ) could be very useful.
Google has made other acquisitions in France, as FlexyCore (also to improve the performance of the smartphone). It has also made a series of acquisitions to enhance its imaging technology, as JetPac and PittPatt for facial recognition. And other large technology companies are also buying technology talent in this area. Earlier this year, it was learned that Amazon had acquired silently Orbeus, a start-up until it also develops recognition technology photo, with his touching AI service and neural networks.
API and SDK Moodstocks' will be discontinued "soon", according to an announcement on the website of the company. "Our goal is to create large image recognition tools within Google, but you can be sure that the current Moodstocks paying customers can use until the end of your subscription," the company said.
Terms of the deal were not disclosed and it is unclear how Moodstocks had raised: CrunchBase not notice any money VC, although when we first wrote about the company in 2010 noted that it had raised $ 500,000 in seed funding from investors European. As a benchmark, Twitter paid a whopping $ 150 million in cash for the acquisition of UK Magic Pony another week.
While magic pony was young and learned, while still largely under the radar, Moodstocks has existed since 2008, while working around the basic premise of improving image recognition through mobile devices . "Our dream has been to give machines eyes rolling cameras intelligent sensors able to make sense of their environment," the company writes in its acquisition / goodbye / hello note.
It seems that Moodstocks initially tried his hand at creating their own consumer applications, one of which was an application of social networks of all kinds: they let people take pictures of the media, such as books, then add your own notes about the media that would unite with other people annotations, as a recognition of special behind the scenes that would match the "fingerprint" on snaps of different people image.
An interesting idea, but he not removed, and as the company pivoted to offer its technology to other developers, at least one of its applications, Moodstocks scanner, became the SDK tools for testing before deploying it in your own application.
Google did not specify whether it will be launching its own SDK for developers to incorporate more images in applications services, or whether it will be the incorporation of technology exclusively in their own services for the consumer. What it does say is that it will bring Moodstocks team '- the launch was co-founded by Denis Brule and Cedric Deltheil - and technology company in its R & D operations based in France.
In a brief statement, Vincent Simonet, who runs the center, says that Google sees the Moodstocks work 'contributing to improved image searches, a service that is of course because it is offered in Google but now will be improved. "We have made great strides in terms of visual recognition," writes (in French), "but there is still much to do in this area."
It is unclear whether the Moodstocks work 'remains something designed for smartphones or whether to apply elsewhere. And there are areas where machine learning algorithms Moodstocks "could be useful, for example, Google searches to" learn "more about how to find images that are similar and / or related terms of verbal search. Google could also potentially use technology in an existing application, such as photos.
Or it could make an appearance in a future product that has not yet been implemented, although the most obvious use case for smartphones, is here: in a small terminal with a touch screen, users are so generally less inclined to enter text; and they may be using their own images (poor quality) to find other similar: In both of these scenarios, you have a tool for visual recognition stronger (say to take a picture of something and then use it as a search 'term' ) could be very useful.
Google has made other acquisitions in France, as FlexyCore (also to improve the performance of the smartphone). It has also made a series of acquisitions to enhance its imaging technology, as JetPac and PittPatt for facial recognition. And other large technology companies are also buying technology talent in this area. Earlier this year, it was learned that Amazon had acquired silently Orbeus, a start-up until it also develops recognition technology photo, with his touching AI service and neural networks.
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