CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding.
Abdelouahab KhelifatiMourad KhayatiPhilippe Cudré-MaurouxPublished in: IEEE BigData (2019)
Keyphrases
- sparse representation
- distributed source coding
- compressive sensing
- image and video compression
- predictive coding
- arithmetic coding
- transform coding
- efficient compression
- shape coding
- image and video coding
- progressive transmission
- matching pursuit
- coding scheme
- image compression
- coding method
- embedded image
- dictionary learning
- lossless coding
- expert group
- image codec
- run length encoding
- compression efficiency
- compression scheme
- data compression
- sparse coding
- random projections
- image coding
- soft assignment
- compression algorithm
- dictionary learning for sparse
- sparse codes
- bit allocation
- compression ratio
- autoregressive
- correlation coefficient
- bit rate
- lempel ziv
- sparse representation based classification
- orthogonal matching pursuit
- embedded zerotree wavelet
- video signals
- face recognition
- multivariate time series
- data analysis
- temporal redundancy
- compression standards
- block coding
- image coding algorithm
- lossless compression
- coding efficiency
- dynamic time warping
- variable bit rate
- image quality
- video sequences
- inter frame
- visual quality
- high dimensional