A recent World Economic Form report and a New York Times article declared data to be a new class of economic asset, like currency or gold. Visual content is arguably the fastest growing data on the web. Photo-sharing websites like Flickr and Facebook now host more than 6 and 90 Billion photos (respectively). Besides consumer data, diverse scientific communities (Civil & Aerospace Engineering, Computational Biology, Bioinformatics, and Astrophysics, etc) are also beginning to generate massive archives of visual content, without necessarily the expertise or tools to analyze them.

In this talk, Dhruv Batra will describe CloudCV, an ambitious system that will provide access to state-of-the-art distributed computer vision algorithms as a cloud service. Our goal is to democratize computer vision; one should not have to be a computer vision, big data and distributed computing expert to have access to state-of-the-art distributed computer vision algorithms. As the first step, CloudCV is focused on object detection and localization in images. CloudCV provides APIs for detecting if one of 200 different object categories such as entities (person, dog, cat, horse, etc), indoor objects (chair, table, sofa, etc), outdoor objects (car, bicycle, etc) are present in the image.

Register today!

Webinar Date:  February 25, 2015  9:00 am PST



   

CloudCV: Large-Scale Object Recognition, Segmentation, and Image Understanding on the Cloud


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Presenter:

Dhruv Batra, Assistant Professor, Bradley Department of Electrical and Computer Engineering, Virginia Tech

Presenter Bio:

Dhruv Batra is an Assistant Professor at the Bradley Department of Electrical and Computer Engineering at Virginia Tech, where he leads the VT Machine Learning & Perception group.

His research interests lie at the intersection of machine learning, computer vision and AI, with a focus on developing scalable algorithms for learning and inference in probabilistic models for holistic scene understanding.

He was a recipient of the Carnegie Mellon Dean's Fellowship in 2007, the Google Faculty Research Award in 2013, the Virginia Tech Teacher of the Week in 2013, the Army Research Office (ARO) Young Investigator Program (YIP) award in 2014, and the National Science Foundation (NSF) CAREER award in 2014. His research is supported by NSF, ARO, ONR, Amazon, Google, Microsoft, and NVIDIA.