Proceedings Article10.1117/12.186597
Video coding using entropy-constrained trellis coded quantization
Robert E. Van Dyck,Nader Moayeri,Thomas G. Marshall,Melissa C. Chin +3 more
- 21 Sep 1994
- Vol. 2298, pp 119-130
10
TL;DR: Methods are studied to minimize the distortion of the coarsely coded higher frequency subbands through the use of entropy-constrained trellis coded quantization (ECTCQ) and entropy- Constrained vector quantization(ECVQ).
read more
Abstract: Subband coding is becoming a viable compression method for video transmission, since the subband system can be efficiently split into a base layer and an enhancement layer without incurring any overhead. This is desirable in ATM and other packet networks. The base layer can be a standard coding algorithm such as H.261 or MPEG. In a subband-based video coding system, the higher-frequency subbands contain a small amount of the signal energy, but a large fraction of the subband data. Coarsely quantizing this higher-frequency information can achieve the desired bit rate, but will lead to lower resolution since the high frequency edges are perceptually important. In this paper, methods are studied to minimize the distortion of the coarsely coded higher frequency subbands through the use of entropy-constrained trellis coded quantization (ECTCQ) and entropy-constrained vector quantization (ECVQ).© (1994) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Patent
Data compression system, method, and apparatus
Yolanda Prieto
- 20 Mar 1997
TL;DR: In this article, the quantization noise produced during signal compression is made independent from and non-orthogonal (i.e., uncorrelated) to the original signal.
45
Patent
Adaptive filtering for use with data compression and signal reconstruction
Yolanda Prieto
- 20 Mar 1998
TL;DR: In this article, the filter is an adaptive oriented uncorrelated Weiner (AOW) filter that adaptively selects a filter mask from a plurality of available filter masks based on either filter orientation or generation of a minimum variance output.
43
Patent
Method and apparatus for quantizing a signal in a digital system
Jose I. Suarez,Yolanda Prieto +1 more
- 12 Apr 1999
TL;DR: In this paper, an input data signal is adaptively quantized by performing an LMS error algorithm on a signal of transformed coefficients, determining paths of minimum error (202), and forming a three-dimensional matrix (206) representing these paths.
28
Wavelet video coding with ladder structures and entropy-constrained quantization
TL;DR: A subband decomposition using wavelet filters has become an effective basis for image compression and the use of a ladder structure for the subband filtering provides a fast implementation and allows the system to be useful at video rates.
11
Wavelet Video Coding with Ladder Structures
Robert E. Van Dyck,Thomas G. Marshall,Melissa C. Chin,Nader Moayeri +3 more
- 01 Jan 1996
TL;DR: A subband decomposition using wavelet filters has become an effective basis for image compression and the use of a ladder structure for the subband filtering provides a fast implementation and allows the system to be useful at video rates.
2
Related Papers (5)
Seung-Jong Choi,John W. Woods +1 more
- 10 Jan 1997
Ya-Qin Zhang,Weiping Li +1 more
- 16 Sep 1994