Adaptive Compression Techniques for Digital Video Communications
数字视频通信的自适应压缩技术
基本信息
- 批准号:9502227
- 负责人:
- 金额:$ 13.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:1995
- 资助国家:美国
- 起止时间:1995-06-01 至 1998-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The area of digital image and video compression and communications has seen growing activity in recent years, including standardization efforts such as JPEG and MPEG, and an increased number of current or proposed applications from Cable or Satellite TV to videoconferencing and future multimedia services. This trend will continue to create an incentive for new compression techniques that are more efficient as well as better adapted to the particular transmission environments. The main thrust of this research is to provide adaptive compression techniques for video communications. Adaptive techniques are those where encoders are capable of matching their encoding procedure to the local characteristics of the source or the channel. Rate-distortion optimal solutions and fast heuristic approximations are being obtained for some of the problems of interest in video communications, such as bit allocation and rate control. A novel scalar adaptive quantizer, close in spirit to arithmetic coding, is being investigated. This new technique, combined with such popular quantization techniques as trellis coded quantization, will be used in real encoding situations. Convergence and asymptotic properties of this scheme are also being studied. For variable channel situations where transmission resources are shared, as in ATM networks for instance, rate constraints for each video connection are being designed to enable good individual video quality as well as efficient overall network utilization. This research is being carried out in the Digital Video Communications research laboratory that is currently being set up within the Signal and Image Processing Institute. Our main education goal is to provide teaching in the area of signal, image and video processing. We will introduce a digital video communications course, designed to cover material that is specific of video compression including the relevant communications aspects, and to provide hands-on experience for the students .
近年来,数字图像和视频压缩以及通信领域的活动日益增多,包括JPEG和MPEG等标准化工作,以及从有线或卫星电视到视频会议和未来多媒体服务的越来越多的当前或拟议应用。这种趋势将继续激励人们采用更高效且更好地适应特定传输环境的新压缩技术。本研究的主要目的是为视频通信提供自适应压缩技术。 自适应技术是编码器能够将其编码过程与源或信道的局部特性相匹配的技术。率失真的最佳解决方案和快速启发式近似正在获得一些感兴趣的问题,在视频通信,如比特分配和速率控制。一种新的标量自适应量化器,在精神上接近算术编码,正在研究中。这种新的技术,结合这种流行的量化技术,如网格编码量化,将用于真实的编码的情况。本文还研究了该格式的收敛性和渐近性质。对于传输资源被共享的可变信道情况,例如在ATM网络中,对每个视频连接的速率约束被设计成能够实现良好的单独视频质量以及有效的整体网络利用。 这项研究是在数字视频通信研究实验室进行的,该实验室目前正在信号和图像处理研究所内建立。我们的主要教育目标是提供信号,图像和视频处理领域的教学。我们将介绍一门数字视频通信课程,旨在涵盖视频压缩的具体内容,包括相关的通信方面,并为学生提供实践经验。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Antonio Ortega其他文献
Mosaicked multispectral image compression based on inter- and intra-band correlation
基于带间和带内相关性的马赛克多光谱图像压缩
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Kazuma Shinoda;Madoka Hasegawa;Masahiro Yamaguchi;Antonio Ortega - 通讯作者:
Antonio Ortega
Dynamic Polygon Cloud Compression (draft as of October 2, 2016 — See Arxiv.com for Updates)
动态多边形云压缩(草案截至 2016 年 10 月 2 日 — 请参阅 Arxiv.com 了解更新)
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Eduardo Pavez;P. Chou;R. Queiroz;Antonio Ortega - 通讯作者:
Antonio Ortega
Mechanisms for Adapting Compressed Multimedia to Varying Bandwidth Conditions
使压缩多媒体适应变化的带宽条件的机制
- DOI:
10.1016/b978-012088480-3/50005-9 - 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
Antonio Ortega;H. Wang - 通讯作者:
H. Wang
Wavelet-based compressed spectrum sensing for cognitive radio wireless networks
用于认知无线电无线网络的基于小波的压缩频谱感知
- DOI:
10.1109/icassp.2015.7178553 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Hilmi E. Egilmez;Antonio Ortega - 通讯作者:
Antonio Ortega
Detecting Changes in DNA Copy Number: Reviewing signal processing techniques
检测 DNA 拷贝数的变化:回顾信号处理技术
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:14.9
- 作者:
R. Pique;Antonio Ortega;A. Tewfik;S. Asgharzadeh - 通讯作者:
S. Asgharzadeh
Antonio Ortega的其他文献
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{{ truncateString('Antonio Ortega', 18)}}的其他基金
CIF: Small: Graph Signal Processing Methods for Data-driven System Design
CIF:小型:数据驱动系统设计的图形信号处理方法
- 批准号:
2009032 - 财政年份:2020
- 资助金额:
$ 13.5万 - 项目类别:
Standard Grant
Workshop on Graph Signal Processing: Student Travel Support
图信号处理研讨会:学生旅行支持
- 批准号:
1644333 - 财政年份:2016
- 资助金额:
$ 13.5万 - 项目类别:
Standard Grant
CIF: Small: Graph Signal Sampling: Theory and Applications
CIF:小:图形信号采样:理论与应用
- 批准号:
1527874 - 财政年份:2015
- 资助金额:
$ 13.5万 - 项目类别:
Standard Grant
CIF: Small: Wavelets on Graphs - Theory and Applications
CIF:小:图上的小波 - 理论与应用
- 批准号:
1018977 - 财政年份:2010
- 资助金额:
$ 13.5万 - 项目类别:
Standard Grant
1998 Workshop on Multimedia Signal Processing
1998年多媒体信号处理研讨会
- 批准号:
9817222 - 财政年份:1998
- 资助金额:
$ 13.5万 - 项目类别:
Standard Grant
Tools for Image and Video Transmission over Heterogeneous Network
异构网络图像和视频传输工具
- 批准号:
9804959 - 财政年份:1998
- 资助金额:
$ 13.5万 - 项目类别:
Standard Grant
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