We propose successively refinable trellis-coded quantizers for progressive transmission. (Progressive transmission is an essential component of image and multimedia browsing systems.) A new trellis structure which is scalable is used in the design of our trellis-coded quantizers. A hierarchical set partitioning is developed to preserve successive refinability. Two algorithms for designing trell...

The paper provides an overview of the quantization and entropy coding methods in Versatile Video Coding (VVC) standard. Special focus is laid on techniques that improve efficiency relative to included High Efficiency (HEVC) standard: inclusion trellis-coded quantization, advanced context modeling for transform coefficient levels, arithmetic engine with multi-hypothesis probability estimation, j...

In this paper, we adopt a linear relative formula of a logarithmic function between bitrate and quantization step-size for homogeneous transcoding. Also we propose a novel transcoding method to convert the bitrates between H.264 coded bitstreams. The proposed transcoding method updates the model parameters given for the previous picture or slice by using an approximated relationship between bit...

The straightforward application of Shannon’s separation principle may entail a significant suboptimality in practical systems with limited coding delay and complexity. This is particularly evident when the lossy source code is based on entropy-coded quantization. In fact, it is well known that entropy coding is not robust to residual channel errors. In this paper, a joint source-channel coding ...

Re-quantization is a key technology for reducing the bit rate of compressed data. This reduction of the bit rate; and in certain cases may result in signal quality degradation. Therefore the proposed techniques used 9/7 wavelet transform before optimal re-quantization and finally, the output stream of coding symbols is entropy coded by lossless entropy coder; run-length encoding. Simulation res...

In this paper multistage trellis-coded vector quantization (MS-TCVQ) is developed as a constrained trellis sourcecoding technique. The performance of the two-stage TCVQ is studied for Gaussian sources. Issues of stage-by-stage design, output alphabet selection, and complexity are addressed with emphasis on selecting and partitioning the stage codebooks. For a given rate, MS-TCVQ achieves low en...

ETRI Journal, Volume 30, Number 5, October 2008 ABSTRACT⎯In this paper, block constrained trellis coded vector quantization (BC-TCVQ) is presented for quantizing the line spectrum frequency parameters of the wideband speech codec. Both a predictive structure and a safety-net concept are combined into BC-TCVQ to develop the predictive BC-TCVQ. The performance of this quantization is compared wit...

In this paper, we present an optimized trellis coded vector quantization (TCVQ) coding system designed for the effective and robust coding of LSF spectral parameters at low bit rate. The aim of this system, called at the beginning « LSF-OTCVQ Encoder », is to achieve a low bit rate transparent quantization of LSF parameters of the US Federal Standard (FS1016) speech Codage conjoint source-canal...

The temporal limitations of the human visual system (HVS) are usually not fully explored in the quantization stage of today’s video encoders. In this paper we present a novel method to improve the compression efficiency of popular video compression algorithms in which the temporal frequency response characteristics of the HVS are taken into account while building macroblockspecific quantization...

We present a new Trellis Coded Vector Residual Quantizer (TCVRQ) that combines trellis coding and vector residual quantization. We propose new methods for computing quantization levels and experimentally analyze the performances of our TCVRQ in the case of still image coding. Experimental comparisons show that our quantizer performs better than the standard Tree and Exhaustive Search Quantizers...