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Graphics and Multimedia

Addressing challenges in geometric compression and multiresolution representations

We focus on new multimedia and graphics experiences made possible with the growth in computing power and storage. Our research focus spans the linear and interactive media spectrum, across television, broadband, and gaming. We seek to address the challenges involved in the high computational cost of producing, transmitting, and displaying complex models and multimedia signals, by researching multiresolution representations, signal enhancement, and compression of geometry and multimedia data.



Dongwook Yoon, Nicholas Chen, François Guimbretière, and Abigail Sellen, RichReview: Blending Ink, Speech, and Gesture to Support Collaborative Document Review, ACM – Association for Computing Machinery, October 2015.

Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, and Andrew Fitzgibbon, Metric Regression Forests for Correspondence Estimation, in IJCV, Springer, August 2015.

Sameh Khamis, Jonathan Taylor, Jamie Shotton, Cem Keskin, Shahram Izadi, and Andrew Fitzgibbon, Learning an Efficient Model of Hand Shape Variation from Depth Images, in CVPR, IEEE – Institute of Electrical and Electronics Engineers, June 2015.

Jarrod Knibbe, Hrvoje Benko, and Andrew D. Wilson, Juggling the Effects of Latency: Motion Prediction Approaches to Reducing Latency in Dynamic Projector-Camera Systems, no. MSR-TR-2015-35, 11 May 2015.

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