Title :
Separation architectures for lossy compression
Author :
Ying-Zong Huang ; Wornell, Gregory W.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA
fDate :
April 26 2015-May 1 2015
Abstract :
High-performance Model-Code Separation (MCS) architectures for lossless compression are practically viable with graphical message-passing in the decoder. This paper extends separation architectures to lossy compression by constructing model-free but semantics-aware encoders and contributes a new inference-friendly low-density hashing quantizer (LDHQ) to support decoding.
Keywords :
cryptography; data compression; decoding; message passing; quantisation (signal); LDHQ; MCS architecture; decoder; graphical message passing; high-performance model-code separation architecture; lossy compression; low-density hashing quantizer; semantics-aware encoder; Cryptography; Data models; Decoding; Encoding; Indium tin oxide; Radio access networks; graphical inference; lossy compression; quantization; rate distortion;
Conference_Titel :
Information Theory Workshop (ITW), 2015 IEEE
Conference_Location :
Jerusalem
Print_ISBN :
978-1-4799-5524-4
DOI :
10.1109/ITW.2015.7133164
