DocumentCode
352384
Title
Projective residual vector quantization and mapped residual pooling
Author
Thomas, Ryan P. ; Moon, Todd K.
Author_Institution
Nichols Res. Corp., Lexington, MA, USA
Volume
6
fYear
2000
fDate
2000
Firstpage
1891
Abstract
This paper points out two potential problems with residual vector quantization (RVQ): tree entanglement and non-projectiveness of the quantizer. The use of a boundary normalization mapping is proposed to pool all quantization residuals at a stage into identically-shaped regions, reducing or eliminating entanglement. Also, a reconstruction codebook is proposed to eliminate the non-projectiveness is proposed. Results are presented on both random and image data
Keywords
decoding; image coding; tree data structures; vector quantisation; RVQ; boundary normalization mapping; identically-shaped regions; image data; mapped residual pooling; non-projectiveness elimination; projective residual vector quantization; quantization residuals; random data; reconstruction codebook; tree entanglement elimination; Books; Decoding; Image reconstruction; Moon; Reflection; Statistics; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location
Istanbul
ISSN
1520-6149
Print_ISBN
0-7803-6293-4
Type
conf
DOI
10.1109/ICASSP.2000.859197
Filename
859197
Link To Document