CIF: Small: Scalable Multimedia with Unequal Error Protection

具有不等错误保护的可扩展多媒体。科斯曼·劳伦斯·B。Milstein 今天？的通信环境中，重要的是要有丰富的媒体内容（图像，音频，视频），可以扩大或缩小，这取决于资源的可用性。在质量可分级的多媒体中，比特流的某些部分包含允许图像或视频的中等质量重构的信息，并且比特流的附加部分允许以逐渐更高的质量重构源。我们认为，可扩展的多媒体数据（图像和视频）的传输通过可变类型的信道，重点是提供不同级别的不等错误保护（UEP）适合不同级别的信息的重要性和适合的信道条件。存在用于提供针对错误的保护的许多技术，包含前向错误保护（FEC）、阶层式调制以及视频译码中的泄漏及部分预测。我们的研究涉及两种新的技术相结合的分层调制与图像或视频，以产生增强的性能。我们考虑一种基于MIMO的技术，其中MIMO空时编码用于提高可伸缩图像或视频数据中最重要信息的可靠性，而MIMO空间复用用于提高不太重要信息的数据速率。这与现有技术相结合并进行优化，其中通过在多个天线上发送不同的功率电平来实现不等错误保护。UEP的分层方法，以及用于UEP的MIMO技术，被认为是与FEC和可伸缩视频的泄漏/部分预测机制。我们还考虑UEP合作通信，其中一个虚拟的MIMO阵列形成的合作节点。最后，我们调查的延迟考虑UEP的影响。

Scalable Multimedia with Unequal Error ProtectionPamela C. Cosman Laurence B. Milstein AbstractIn today?s communications environment, it is important to have rich media content (images, audio, video) that can scale up or down depending on availability of resources. In quality scalable multimedia, some portions of a bit stream contain information that allows a moderate quality reconstruction of the image or video, and additional portions of the bit stream allow the source to be reconstructed at progressively higher quality. We consider the transmission of scalable multimedia data (image and video) through variable types of channels, with a focus on providing different levels of unequal error protection (UEP) appropriate for different levels of information importance and suitable for the channel conditions. There are many techniques for providing protection against errors, including forward error protection (FEC), hierarchical modulation, and leaky and partial prediction in video coding. Our research involves two new techniques for combining hierarchical modulation with either image or video to produce enhanced performance. We consider a MIMO-based technique, in which MIMO space-time coding is used to increase reliability for the most important information in the scalable image or video data, whereas MIMO spatial multiplexing is used to increase data rate for the less important information. This is combined and optimized with existing techniques where unequal error protection is achieved by transmitting different power levels on multiple antennas. The hierarchical approaches for UEP, as well as the MIMO techniques for UEP, are considered in conjunction with FEC and with leaky/partial prediction mechanisms for scalable video. We also consider UEP for cooperative communications, where a virtual MIMO array is formed out of cooperating nodes. Lastly, we investigate the effects of delay considerations in UEP.