Real time low bit-rate video coding algorithm using multi-stage hierarchical vector quantization

2002 ◽  
Author(s):  
K. Terada ◽  
M. Takeuchi ◽  
K. Tamaru
Keyword(s):  
Video Coding ◽  
Real Time ◽  
Vector Quantization ◽  
Bit Rate ◽  
Low Bit Rate ◽  
Multi Stage

Very Low Bit-rate Video Coding

2011 ◽  
pp. 100-148
Author(s):  
Manoranjan Paul ◽  
Manzur Murshed ◽  
Laurence S. Dooley
Keyword(s):  
Video Coding ◽  
Vector Quantization ◽  
Parametric Model ◽  
Future Research ◽  
The Internet ◽  
Discrete Wavelet ◽  
Video Communications ◽  
Bit Rate ◽  
Low Bit Rate ◽  
Shaped Pattern

his chapter presents a contemporary review of the various different strategies available to facilitate Very Low Bit-Rate (VLBR) coding for video communications over mobile and fixed transmission channels as well as the Internet. VLBR media is typically classified as having a bit rate between 8 and 64 Kbps. Techniques that are analyzed include Vector Quantization, various parametric model-based representations, the Discrete Wavelet and Cosine Transforms, and fixed and arbitrary shaped pattern-based coding. In addition to discussing the underlying theoretical principles and relevant features of each approach, the chapter also examines their benefits and disadvantages, together with some of the major challenges that remain to be solved. The chapter concludes by providing some judgments on the likely focus of future research in the VLBR coding field.

Low Bit Rate Speech Coding Using Lattice Vector Quantization and Time-Scale Modification

2011 ◽  
Vol 383-390 ◽  
pp. 5111-5116
Author(s):  
Qiang Xiao ◽  
Liang Chen ◽  
Chao Geng
Keyword(s):  
Vector Quantization ◽  
Time Scale ◽  
Speech Coding ◽  
Bit Rate ◽  
Lattice Vector ◽  
Low Bit Rate ◽  
Post Process ◽  
Lattice Vector Quantization ◽  
Multi Stage ◽  
Time Scale Modification

This paper presents a low bit rate speech coder based on predictive lattice vector quantization (PLVQ) and time-scale modification (TSM). The coding model of proposed vocoder is built on the MELP, in which bit rate reduction is achieved by taking advantage of PLVQ and TSM techniques. PLVQ is used to encode the speech line spectrum pair (LSP) parameters, which has the advantage of lower implementation complexity than multi-stage vector quantization (MSVQ), moreover, it does not require memory for codebook storage. With our speech data base, PLVQ can save up to 4 bits/frame compared to unstructured codebook MSVQ. TSM can change the speed of speech signal with its perceptual characteristics remained. Through appending TSM as previous and post process, speech coding at bit rate about 1.1 kbps could be easily achieved without modifying the vocoder structure.

Motion vector quantization for efficient low-bit-rate video coding

2009 ◽  
Author(s):  
M. Cagnazzo ◽  
M. A. Agostini ◽  
M. Antonini ◽  
G. Laroche ◽  
J. Jung
Keyword(s):  
Video Coding ◽  
Vector Quantization ◽  
Motion Vector ◽  
Bit Rate ◽  
Low Bit Rate
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