DocumentCode :
3253875
Title :
An adaptive high-speed lossy data compression
Author :
Chen, Oscal T C ; Zhang, Zhen ; Sheu, Bing J.
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
fYear :
1992
fDate :
24-27 March 1992
Firstpage :
349
Lastpage :
358
Abstract :
An adaptive method for lossy data compression and the associated VLSI architecture have been developed. This scheme does not require a-priori knowledge of the source statistics and codebook training. The codebook is generated on the fly and is constantly updated to capture local textual features of data. The algorithm is proven to reach rate distortion function for memoryless sources. The authors also propose a computing architecture which consists of a vector quantizer and an encoded-data generator. By using this method, a high-speed VLSI processor with good local adaptivity, less complexity and fair compression ratio can be achieved.<>
Keywords :
VLSI; data compression; digital signal processing chips; encoding; adaptive method; codebook training; compression ratio; computing architecture; encoded-data generator; high-speed VLSI processor; high-speed lossy data compression; local textual features; memoryless sources; rate distortion function; source statistics; vector quantizer; Computer architecture; Data compression; Decoding; Image coding; Image processing; Rate-distortion; Signal processing; Statistics; Vector quantization; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 1992. DCC '92.
Conference_Location :
Snowbird, UT, USA
Print_ISBN :
0-8186-2717-4
Type :
conf
DOI :
10.1109/DCC.1992.227446
Filename :
227446
Link To Document :
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