Mobli Iaunches EyeIn – the first visual search Engine for user generated content

Mobli Iaunches EyeIn – the first visual search Engine for user generated content

Mobli Iaunches EyeIn – the first visual search Engine for user generated content

Written by Staff Writer

16 Jun, 2015 | 4:01 pm

We rely on traditional search engines to find answers to all of our questions – but these search engines haven’t changed much in the past two decades. Until now.

Moshe Hogeg, Founder & CEO of tech startup Mobli Media along with COO Ido Sadeh and CMO Irit Singer, launched a new search revolution on Tuesday, June 16th with a spectacular big screen demo at an evening launch event.

With so much of our online interaction on social media, Mobli’s revolutionary visual search engine empowers users to discover the photos and videos of places, events, news and current trends that are being posted by billions all over the world.

With smartphones, every moment worth seeing is captured by the crowd and shared online, whether it is a concert, a sports event or breaking news. For the first time, users all over the globe can see the world through the eyes of others. Search a rock concert on EyeIn and discover the audience’s up-close and personal view of the show. Search the earthquake in Nepal and uncover real, raw footage you never would have seen, taken by people on the scene, in real-time. Search an Awards show and get an insider’s look at all the glam and glitter.

With EyeIn, Mobli is joining search giants like Google, Yahoo! and Microsoft. As opposed to the stock footage generally found via Image Search in these traditional search engines, EyeIn has access to the user-generated content available in our new age of online photos and videos that current search engines simply don’t have.

Leading publishers like the Huffington Post, Rant Inc. and more are already embedding EyeIn within their articles to add real-time photos and video, giving readers a look at what the crowd is seeing. It’s an entirely new way for readers to consume content and for publishers to engage their audience.

EyeIn utilizes the most advanced computer vision, natural language processing and machine learning technologies to detect, analyze, and categorize crowdsourced visual media data, automatically prioritizing this media according to its relevance.

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