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Where machine vision needs help from machine learning

Where machine vision needs help from machine learning

This video was recorded at 24th Annual Conference on Learning Theory (COLT), Budapest 2011. I'll describe where computer vision needs advances from computer science and machine learning. This talk will cover where computer vision works well: finding cars and faces, operating in controlled environments, and where it doesn't work well: in the uncontrolled settings of daily life. Several aspects of the problem make it particularly appropriate for machine learning research: we have large datasets of high-dimensional data, so efficient processing is crucial for success. The data are noisy, and we search and analyze images over Internet scales. I'll list a number of computer vision problems, describe their structure, and tell where we need help. This talk was partially crowd-sourced: at recent computer vision conferences, I've asked my colleagues where they felt we needed help from computer science and machine learning, and I'll report on what they said.


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