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4篇 您的检索式:作者名="PERKIS Andrew"
    题名 作者 年代 出处 被引量
1No-reference JPEG-imagequality assessment using GAP-RBF显示文摘Venkatesh Babu R Suresh S Andrew Perkis 2007Signal Processing2007,87,:1
2RTP-based broadcast streaming of high definition H.264/AVC video: an error robustness evaluation显示文摘In this work, we present an evaluation of the performance and error robustness of RTP-based broadcast streaming of high-quality high-definition (HD) H.264/AVC video. Using a fully controlled IP test bed (Hillestad et al., 2005), we broadcast high-definition video over RTP/UDP, and use an IP network emulator to introduce a varying amount of randomly distributed packet loss. A high-performance network interface monitoring card is used to capture the video packets into a trace file. Purpose-built software parses the trace file, analyzes the RTP stream and assembles the correctly received NAL units into an H.264/AVC Annex B byte stream file, which is subsequently decoded by JVT JM 10.1 reference software. The proposed measurement setup is a novel, practical and intuitive approach to perform error resilience testing of real-world H.264/AVC broadcast applications. Through a series of experiments, we evaluate some of the error resilience features of the H.264/AVC standard, and see how they perform at packet loss rates from 0.01% to 5%. The results confirmed that an appropriate slice partitioning scheme is essential to have a graceful degradation in received quality in the case of packet loss. While flexible macroblock ordering reduces the compression efficiency about 1 dB for our test material, reconstructed video quality is improved for loss rates above 0.25%.HILLESTAD Odd Inge JETLUND Ola PERKIS Andrew 2006Journal of Zhejiang University-Science A(Applied Physics & Engineering)2006,7,z1:1
3No-reference JPEG-image quality assessment using GAP-RBF显示文摘R. Venkatesh Babu S. Suresh Andrew Perkis 2007Signal Processing2007,,6:1
4Quality incentive based congestion control for multimedia communication over IP networks显示文摘In this paper we introduce a framework for using quality as an incentive to promote proper application level congestion control. Through integrating a joint-source channel coder and feedback-based congestion control scheme, we are able to construct accurate and efficient quality incentives. The framework is applicable in all network architectures where end-to-end congestion control may be used, and is as such not specific to either best-effort or traffic class-based architectures. The concept is presented along with preliminary simulations that highlight the resulting rate control accuracy. We also discuss how to implement some well-known congestion control schemes within our framework.JOHANSEN Stian KIM Anna N. PERKIS Andrew 2006Journal of Zhejiang University-Science A(Applied Physics & Engineering)2006,7,z1:0
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