Scalable Compression and Transmission of Internet Multimedia

互联网多媒体的可扩展压缩和传输

• 批准号: 0104834
• 负责人: Zixiang Xiong
• 金额: $ 30万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-06-15 至 2006-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0104834&HistoricalAwards=false
• 关键词: Scalable; Compression; Transmission; Internet; Multimedia

PROPOSAL #0104834TEXAS ENGINEERING EXP. STA.XIONG, ZIXIANGThis ambitious project explores several new directions in the algorithmic design and architecture of challenging multimedia communication systems. A unified approach is taken for transmission of multimedia data over heterogeneous networks (e.g., the Internet) and noisy channels (e.g., a wireless LAN) based on scalable source coding. Topics covered in the project are:1) Scalable multimedia data compression based on efficient arithmetic coding of bit planes of transform coefficients. For image coding, the wavelet transform is used like in the new JPEG-2000 standard. The focus is on introducing progressiveness in the traditionally non-progressive trellis coded quantization scheme. The 3-D wavelet transform is adopted for fully scalable video coding. A new nonuniform modulated complex lapped transform (NMCLT) is applied for audio coding. To achieve high arithmetic coding performance, a significant amount of effort is invested in high-order context modeling of the NMCLT or wavelet coefficients. In addition, new methods are studied for masking quantization noise of the NMCLT coefficients for audio coding and exploring the motion information for 3-D wavelet video coding.2) Scalable transmission of Internet multimedia via optimal packetization and joint congestion and error control. A dynamic programming based optimal packetization scheme for scalable multimedia bit streams isstudied. Suboptimal but low complexity packetization schemes are also investigated. Congestion control is used to determine the available transmission rate and an end-to-end optimal error control scheme devisedto mitigate the effects of pack loss. This is achieved by optimally trading off scalable source coding and unequal error protection.

提案#0104834德克萨斯工程实验。 STA.XIONG，ZIXIANG 这个雄心勃勃的项目探索了具有挑战性的多媒体通信系统的算法设计和架构的几个新方向。 采用基于可扩展源编码的统一方法通过异构网络（例如互联网）和噪声信道（例如无线 LAN）传输多媒体数据。该项目涵盖的主题有：1）基于变换系数位平面的高效算术编码的可扩展多媒体数据压缩。对于图像编码，像新的 JPEG-2000 标准一样使用小波变换。重点是在传统的非渐进网格编码量化方案中引入渐进性。采用3D小波变换进行完全可缩放视频编码。 一种新的非均匀调制复重叠变换（NMCLT）应用于音频编码。为了实现高算术编码性能，需要在 NMCLT 或小波系数的高阶上下文建模上投入大量精力。此外，还研究了掩蔽音频编码的NMCLT系数的量化噪声和探索3-D小波视频编码的运动信息的新方法。2)通过最优分组化和联合拥塞和错误控制实现互联网多媒体的可扩展传输。研究了一种基于动态规划的可伸缩多媒体比特流最优打包方案。还研究了次优但低复杂性的分组方案。拥塞控制用于确定可用的传输速率，并设计端到端最佳错误控制方案来减轻包丢失的影响。这是通过在可扩展的源代码和不平等的错误保护之间进行最佳权衡来实现的。