Oregon State University

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Event Details

Colloquium: Recognizing a Thousand Things in 10 Billion Images: Large-Scale Computer Vision at Flickr

Monday, June 2, 2014 4:00 PM - 4:50 PM

Rob Hess, Software Development Engineer
Flickr Vision group

With the ubiquity of high-quality cell-phone cameras, nearly everyone can now take good photographs. And they do. Lots of them. This trend makes increasingly apparent the need for effective systems for photo organization and retrieval, while at the same time making it increasingly unlikely that photographers will manually organize or annotate the tens, hundreds, or even thousands of photos they each take every day.

In this talk, I will describe the large-scale computer vision system we've developed at Flickr to help our users more easily find the photos they're looking for without relying on manual organization or annotations. This system, called Autotags, is based on features computed using deep convolutional neural nets and can currently recognize about a thousand things in images. Using large-scale distributed computing technologies like Storm and Hadoop, Autotags can process the 10 million daily Flickr uploads in real time, and it can process the entire Flickr corpus of 10 billion images in a few days. The tags applied to photos by Autotags have made possible vast improvements in the quality of Flickr's image search and have opened the door to many other novel ways to organize photos and engage users.

Additional information: http://eecs.oregonstate.edu/colloquium-series

Kelley Engineering Center (campus map)
Weng-Keen Wong
1 541 737 3617
wong at eecs.oregonstate.edu
Sch Elect Engr/Comp Sci
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