Audio-Visual Signal Compression Using Vector Quantization

使用矢量量化的视听信号压缩

• 批准号: 9502629
• 负责人: Wai-Yip Chan
• 金额: $ 11.2万
• 依托单位: Illinois Institute of Technology
• 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: 1995-08-01 至 1999-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9502629&HistoricalAwards=false
• 关键词: Audio; Visual; Signal; Compression; Using

This research involves the development of efficient, reliable, and real-time realizable coding algorithms and techniques for compressing and transporting audio-visual signals, targeting particularly the visual-telephone application. For a total channel bit-rate of 64 kb/s or less, our goal is to achieve superior grade-of-service by treating the compression of the audio (speech) and video signals as an integrated problem. Our thrust centers around the use of vector quantization techniques, and schemes that jointly optimize the signal analysis and quantization functions. We place particular emphasis on finding an efficient representation of the displacement ("motion") field for motion compensated prediction of the video signal. To facilitate personal wireless communications, we are exploring adaptive coding schemes that exploit the prioritized transmission of encoded data. For compressing speech signals, we are exploring variable rate coding schemes, and are allocating bits between the speech and video signals to optimize the overall grade-of-service. Achieving our goal would give significant impetus to the development of the emergent Information Superhighway, which can form part of an infrastructure for supporting high performance computing. Educational activities undertaken in conjunction with the above research include but are not exclusive to: the development of undergraduate digital signal processing laboratory courses; the introduction of graduate courses in the area of audio-visual information processing and communications; increasing the use of computer-based multimedia instruction in the classroom; assisting in speeding up the digitization of the library and networking of its databases.

本研究涉及开发用于压缩和传输视听信号的高效、可靠和实时可实现的编码算法和技术，特别是针对可视电话应用。对于64 kb/s或更低的总信道比特率，我们的目标是通过将音频（语音）和视频信号的压缩作为一个综合问题来对待来实现上级服务等级。我们的推力围绕使用矢量量化技术，并计划，共同优化信号分析和量化功能。我们特别强调找到一个有效的表示的位移（“运动”）领域的运动补偿预测的视频信号。为了促进个人无线通信，我们正在探索自适应编码方案，利用编码数据的优先传输。为了压缩语音信号，我们正在探索可变速率编码方案，并在语音和视频信号之间分配比特，以优化整体服务等级。实现我们的目标将极大地推动新兴信息高速公路的发展，它可以成为支持高性能计算的基础设施的一部分。 结合上述研究开展的教育活动包括但不限于：开发本科生数字信号处理实验室课程;开设视听信息处理和通信领域的研究生课程;在课堂上增加使用基于计算机的多媒体教学;协助加快图书馆的数字化和数据库的网络化。