Title :
Variable-Length Lossy Compression Algorithms Based on Constrained Random Numbers
Author_Institution :
NTT Commun. Sci. Labs., NTT Corp., Kyoto, Japan
Abstract :
Summary form only given. A variable-length lossy compression algorithms for a stationary memory less source with a continuous alphabet are introduced with a rate-distortion pair close to the rate-distortion function.
Keywords :
Markov processes; Monte Carlo methods; source coding; constrained random numbers; rate-distortion function; rate-distortion pair; stationary memory; variable-length lossy compression algorithms; Compression algorithms; Encoding; Generators; Quantization (signal); Rate-distortion; Sparse matrices; Systematics; Markov Chain Monte Carlo method; constrained-random-number generator; lossy compression; sparse matrix; sum-product algorithm; variable-length code;
Conference_Titel :
Data Compression Conference (DCC), 2015
Conference_Location :
Snowbird, UT
DOI :
10.1109/DCC.2015.45
