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cs.MM2015★ 2 cited
SLRMA: Sparse Low-Rank Matrix Approximation for Data Compression
Junhui Hou, Lap-Pui Chau, Nadia Magnenat-Thalmann +1
Low-rank matrix approximation (LRMA) is a powerful technique for signal processing and pattern analysis. However, its potential for data compression has not yet been fully investig…
cs.MM2015
Low-latency compression of mocap data using learned spatial decorrelation transform
Junhui Hou, Lap-Pui Chau, Nadia Magnenat-Thalmann +1
Due to the growing needs of human motion capture (mocap) in movie, video games, sports, etc., it is highly desired to compress mocap data for efficient storage and transmission. Th…