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.

 

Publications

Pengfei Wan, Gene Cheung, Dinei Florencio, Cha Zhang, and Oscar Au, Image bit depth enhancement via maximum-a-posteriori estimation of graph AC component, IEEE – Institute of Electrical and Electronics Engineers, October 2014

Cha Zhang, Dinei Florencio, and Charles Loop, Point Cloud Attribute Compression with Graph Transfrom, IEEE – Institute of Electrical and Electronics Engineers, October 2014

Lior Shapira, Ran Gal, Eyal Ofek, and Pushmeet Kohli, FLARE: Fast Layout for Augmented Reality Applications, in Proceedings of ISMAR 2014, IEEE – Institute of Electrical and Electronics Engineers, 6 September 2014

Nathan Silberman, Lior Shapira, Ran Gal, and Pushmeet Kohli, A Contour Completion Model for Augmenting Surface Reconstructions, in Proceedings of ECCV 2014, Springer, 6 September 2014

More publications...