DocumentCode
715494
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
fYear
2015
fDate
April 26 2015-May 1 2015
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Workshop (ITW), 2015 IEEE
Conference_Location
Jerusalem
Print_ISBN
978-1-4799-5524-4
Type
conf
DOI
10.1109/ITW.2015.7133164
Filename
7133164
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