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德克萨斯州工程经验。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体系结构的几个新方向。 采用统一的方法来在异构网络（例如，因特网）和噪声信道（例如，无线LAN）。本课题的研究内容包括：1）基于变换系数位平面有效算术编码的可伸缩多媒体数据压缩。对于图像编码，像在新的JPEG-2000标准中那样使用小波变换。重点是在传统的非渐进网格编码量化方案中引入渐进性。采用三维小波变换进行完全可伸缩视频编码。 提出了一种新的非均匀调制复重叠变换（NMCLT）音频编码方法。为了实现高的算术编码性能，大量的努力投入到高阶上下文建模的NMCLT或小波系数。此外，还研究了用于音频编码的NMCLT系数量化噪声掩蔽方法和用于三维小波视频编码的运动信息挖掘方法。2）通过最优分组和联合拥塞与差错控制实现Internet多媒体的可分级传输。研究了一种基于动态规划的可伸缩多媒体比特流最优分组方案。次优，但低复杂度的打包方案也进行了研究。拥塞控制用于确定可用的传输速率，并设计了端到端的最优差错控制方案来减轻丢包的影响。这是通过最佳权衡可扩展源编码和不等错误保护来实现的。