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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…
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…
Human Motion Capture Data Tailored Transform Coding
Junhui Hou, Lap-Pui Chau, Nadia Magnenat-Thalmann +1
Human motion capture (mocap) is a widely used technique for digitalizing human movements. With growing usage, compressing mocap data has received increasing attention, since compac…