—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
We present a framework for segmenting and storing filament networks from scalar volume data. Filament structures are commonly found in data generated using high-throughput microsc...
Entropy encoding and decoding is a crucial part of any multimedia system that can be highly demanding in terms of computing power. Hardware implementation of typical compression a...
We present a technique for rapid capture of high quality bidirectional reflection distribution functions(BRDFs) of surface points. Our method represents the BRDF at each point by ...
Recently, various three-dimensional(3-D) mesh coding schemes have been proposed to improve compression efficiency or error resilience. However, we need to consider both coding effi...