Automated Driving

Predicate Optimization for a Visual Analytics Database

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TRI Authors: German Ros

All Authors: Michael R Anderson, Michael Cafarella, Thomas F Wenisch, German Ros

Querying the content of images, video, and other non-textual data sources requires expensive content extraction methods. Modern extraction techniques are based on deep convolutional neural networks (CNNs) and can classify objects within images with astounding accuracy. Unfortunately, these methods are slow, needing several milliseconds per image using modern GPUs. The cost of content-based queries over a huge video corpus is prohibitive. Read More

Citation: Anderson, Michael R., Michael Cafarella, Thomas F. Wenisch, and German Ros. "Predicate optimization for a visual analytics database." SysML 2018

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