CIF: Small: Scalable Multimedia with Unequal Error Protection

具有不等错误保护的可扩展多媒体Pamela C.Cosman Laurence B.Milstein摘要在当今的S通信环境中，拥有丰富的媒体内容(图像、音频、视频)非常重要，这些内容可以根据资源的可用性进行扩展或缩小。在质量可伸缩的多媒体中，比特流的某些部分包含允许图像或视频的中等质量重建的信息，并且比特流的附加部分允许以逐渐较高的质量重建源。我们考虑通过不同类型的信道传输可伸缩的多媒体数据(图像和视频)，重点在于提供适合于不同级别的信息重要性和适合于信道条件的不同级别的不等差错保护(UEP)。有许多用于提供差错保护的技术，包括前向差错保护(FEC)、分层调制以及视频编码中的泄漏和部分预测。我们的研究涉及两种新技术，用于将分层调制与图像或视频相结合，以产生增强的性能。我们考虑了一种基于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空间复用用于提高次要信息的数据速率。这与现有技术相结合并进行了优化，在现有技术中，通过在多个天线上传输不同的功率级别来实现不相等的差错保护。用于UEP的分层方法以及用于UEP的MIMO技术与FEC和用于可伸缩视频的泄漏/部分预测机制一起被考虑。我们还考虑了用于协作通信的UEP，其中虚拟MIMO阵列由协作节点组成。最后，我们研究了延迟因素对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.