- Advanced Data Compression Techniques
- Video Coding and Compression Technologies
- Wireless Networks and Protocols
- Cooperative Communication and Network Coding
- Error Correcting Code Techniques
- Advanced Wireless Network Optimization
- Network Traffic and Congestion Control
- Image and Video Quality Assessment
- Wireless Communication Security Techniques
- Full-Duplex Wireless Communications
- Millimeter-Wave Propagation and Modeling
- Advanced MIMO Systems Optimization
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
Xi'an Jiaotong University
2013-2017
University of California, San Diego
2001-2003
University of California, Los Angeles
2003
In this paper, we explore end-to-end loss differentiation algorithms (LDAs) for use with congestion-sensitive video transport protocols networks either backbone or last-hop wireless links. As our basic protocol, UDP in conjunction a congestion control mechanism extended an LDA. For control, the TCP-Friendly Rate Control (TFRC) algorithm. We extend TFRC to LDA when connection uses at least one link path between sender and receiver. then evaluate various LDAs under different network...
When macro-blocks are lost in a video decoder such as MPEG-2, the can try to conceal error by estimating or interpolating missing area. Many different methods for this type of post-processing concealment have been proposed, operating spatial, frequency, temporal domains, some hybrid combination them. In paper, we show how use decision tree that adaptively choose among several outperform each single method. We also propose two promising new concealment.
In this paper, we explore end-to-end loss differentiation algorithms(LDAs) for use with congestion-sensitive video transport protocols networks either backbone or last-hop wireless links. As our basic protocol, UDP in conjunction a congestion control mechanism extended an LDA. For control, the TCP-Friendly Rate Control (TFRC) algorithm. We extend TFRC to LDA when connection uses at least one link path between sender and receiver. One goal of paper is evaluate various LDAs under different...
Mean squared error (MSE) and peak signal-to-noise-ratio (PSNR) are the most common methods for measuring quality of compressed images, despite fact that their inadequacies have long been recognized. Quality still images is occasionally evaluated using human observers who provide subjective ratings images. Both SNR judgments, however may be inappropriate evaluating progressive compression which to used fast browsing applications. In this paper we present a novel experimental statistical...
Video source coding and transmission may both cause distortion of the video content, these two types distortions usually influence each other. There is a fundamental tradeoff between them for achieving best quality. We analyze effect to quality, propose scheme based on fountain code unequal protection. A rate model presented formulate system in bandwidth limited network. The protection different layers scalable investigated, an algorithm that can be used determine redundancy amount assigned...
In real-time video transmission, the distortion of content may be caused by compression in source coding and packets loss transmission. Meanwhile transmission are often mutually affected. There is a fundamental tradeoff between them for achieving best quality. order to make wise use network resources, this paper proposes scheme which quality formulated fountain code used as channel unequal protection scalable The packet characteristic quantitated our proposed rate model, formulates system...
Computing the encoding delay and bandwidth on nodes is important for deployment implementation of network coding. However, existing researches merely use methods experimental measurement or rough estimation to investigate it. In order accurately compute with coding implemented, this paper proposes a novel method quantify bandwidth. Firstly, applied design new network. And then, procedure systematically investigated source node, intermediate also decoding at destination node. method, which...