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Hacking Digital Video Via Deep Learning, A Video Machine Learning Solution

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Published on Oct 16, 2016

Deep Learning, image and object recognition are core elements to intelligent video visual analysis. Understanding context within and classification creates a strong use case for video deep learning. Digital video is exploding, however there are few leveraging the wealth of data and how to harness visual analysis. A true reinforced deep learning system using collective human intelligence linked with neural networks provides the foundation to a new level of video insights. We're just at the beginnings of intelligent video and using this knowledge to improve video performance.

Chase will explore the uses of deep learning and applications within digital video. We’ll go through his journey to video machine learning and the teams invention of “KRAKEN" that powers higher video performance across top publishers and broadcasters by 30%. The use of image classification, object recognition and behavioral analysis are enabling better video predictive and recommendations will also be explored.

See background on video machine learning here http://blog.infinigraph.com/2016/07/1...

Speaker Bio

Chase McMichael is a physicist and twice startup entrepreneur in mobile messaging, video and big data. He is now the CEO and Co-Founder of InfiniGraph a video deep learning company.

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