DocumentCode
2623474
Title
A prediction strategy for efficient entropy coding of VQ addresses
Author
Fioravanti, Stefano ; Giusto, Daniele D.
Author_Institution
DIBE, Genoa Univ., Italy
fYear
1994
fDate
27 Jun-1 Jul 1994
Firstpage
240
Abstract
A novel predictive coding scheme is presented where the residual correlations between VQ contiguous blocks are exploited by a neural predictor. A further compression is then achieved via a dynamic codebook reordering and a more efficient Huffman encoding of vector addresses
Keywords
Huffman codes; correlation methods; entropy codes; feedforward neural nets; image coding; multilayer perceptrons; prediction theory; vector quantisation; Huffman encoding; VQ addresses; dynamic codebook reordering; entropy coding; image coding; multiple layer perceptron; neural predictor; prediction strategy; predictive coding; residual correlations; vector quantisation; Approximation methods; Bit rate; Decoding; Entropy coding; Histograms; Image coding; Image reconstruction; Neural networks; Predictive coding; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location
Trondheim
Print_ISBN
0-7803-2015-8
Type
conf
DOI
10.1109/ISIT.1994.394980
Filename
394980
Link To Document