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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.

 

Publications

Lijun Zhu and Dinei Florencio, 3D numerical modeling of parametric speaker using finite-difference time-domain, IEEE – Institute of Electrical and Electronics Engineers, April 2015

Dinei Florencio and Zhengyou Zhang, Maximum a posteriori estimation of room impulse responses, IEEE – Institute of Electrical and Electronics Engineers, April 2015

Ivan J. Tashev, Offline Voice Activity Detector Using Speech Supergaussianity, in Information Theory and Applications Workshop, University of California - San Diego, 3 February 2015

Xian-Sheng Hua and Jin Li, Prajna: Towards Recognizing Whatever You Want from Images without Image Labeling, AAAI - Association for the Advancement of Artificial Intelligence, January 2015

More publications ...