Quantization of Multiple Sources Using Nonnegative Integer Bit Allocation

Weighted universal bit allocation: optimal multiple quantization matrix coding

local variation in data statistics. A code that incoruorates a variety of bit allocation options and allows the bitallocawe introduce a two-stage bit allocation algorithm gous to the algorithm for weighted vector quanpossible bit allocations (typically in the form of a collection of quantization matrices) rather than a single bit allocation tion to change from image to image or even from data b...

Very low bit-rate color video coding using adaptive subband vector quantization with dynamic bit allocation

In this correspondence a novel adaptive VQ based subband coding scheme for very low bit rate coding of video sequences is presented. Overlapped block motion estimation/compensation is employed to exploit interframe redundancy. A 2D wavelet transform (WT) is applied to the resulting displaced frame diierence (DFD) signal. The WT coeecients are encoded using an adaptive subband vector quantizatio...

Optimal bit allocation under multiple

We present a new Lagrangian-based iterative technique for rate{distortion optimization under multiple rate constraints. We show how for sets of \lin-ear" constraints this technique can be proven to be optimal up to a convex hull approximation. As an application we consider the problem of optimal buuer-constrained bit allocation. Our technique can be used to nd an excellent approximation to the ...

Biometric Quantization through Detection Rate Optimized Bit Allocation

Extracting binary strings from real-valued biometric templates is a fundamental step in many biometric template protection systems, such as fuzzy commitment, fuzzy extractor, secure sketch, and helper data systems. Previous work has been focusing on the design of optimal quantization and coding for each single feature component, yet the binary string—concatenation of all coded feature component...

Optimal Bit Allocation Under Multiple Rate Constraints