Title
'Bit Rate On Demand' Using Pruned Tree-Structured Hierarchical Lookup Vector Quantization
Abstract
We propose a real-time image coding system, which is capable of adapting instantaneously to the available channel bandwidth. The range of operational bandwidths for this system has a finer calibration than ordinary hierarchical vector quantization (HVQ) or wavelet based hierarchical vector quantization (WHVQ) methods suggested in the literature. These properties make it very attractive for networks with fluctuating available bandwidth, like the internet. All encoder and decoder operations are strictly constant time per pixel, proceeding through table lookups, and are intrinsically suitable for parallel and hardware implementation.
Publication Date
1-1-1999
Publication Title
Data Compression Conference Proceedings
Number of Pages
42-51
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/dcc.1999.755652
Copyright Status
Unknown
Socpus ID
0032686654 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0032686654
STARS Citation
Mukherjee, Kunal; Mukherjee, Amar; and Acharya, Tinku, "'Bit Rate On Demand' Using Pruned Tree-Structured Hierarchical Lookup Vector Quantization" (1999). Scopus Export 1990s. 3972.
https://stars.library.ucf.edu/scopus1990/3972