by Martina Megaro | Mar 24, 2016 | Machine Learning
Predicting Movie Ratings from Audience Behaviors We propose a method of representing audience behavior through facial and body motions from a single video stream, and use these features to predict the rating for feature-length movies. March 24, 2016 IEEE Winter...
by Martina Megaro | Mar 17, 2016 | Visual Computing, Visual Display Technology
A coarse integral holography approach for real 3D colour video display We have developed a dynamic coarse integral holography approach using opto-mechanical scanning, coarse integral optics and a low space-bandwidth-product high-bandwidth spatial light modulator to...
by Martina Megaro | Mar 7, 2016 | Capture, Visual Computing
Underwater 3D Capture using a Low-Cost Commercial Depth Camera This paper presents underwater 3D capture using a commercial depth camera. March 7, 2016IEEE Winter Conference on Applications of Computer Vision (WACV) 2016 Authors Sundara Tejaswi Digumarti...
by Sarah Frigg | Mar 7, 2016 | Machine Learning, Visual Computing
Assessing Tracking Performance in Complex Scenarios using Mean Time Between Failures In this work we propose ‘mean time between failures’ as a viable summary of solution quality — especially when the goal is to follow objects for as long as possible March 7,...
by Sarah Frigg | Mar 7, 2016 | Machine Learning
Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval We showcase the efficacy of our approach in a user study, where we demonstrate orders-of-magnitude improvements in search quality compared to baseline systems March 7, 2016Intelligent User...
