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A Novel No-Reference Quality Assessment Method for H.264 Coded Video

机译:H.264编码视频的无参考质量评估新方法

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摘要

Rapid development of broadband multimedia services in the Internet and the demand for higher quality video implies that Quality of Experience (QoE) measurement for transmitted video sequences over packet error prone channels is a necessity. Due to the intrinsic properties of packet error prone channels in imposing quality degradation on the transmitted media and also, costly and time-consuming nature of subjective quality measurement techniques, exact modeling of the impact of packet loss on the measured video quality based on the on-line objective measurement methods is an important task. In the current work, a low-complexity objective video quality measurement algorithm is being developed in which by considering various factors that may affect the video quality, can estimate the subjective video quality with acceptable accuracy. Then, the performance of the proposed objective algorithm is compared with the popular subjective techniques. The simulation results verify that the proposed algorithm has high level of accuracy. On the other hand, the proposed algorithm has low-complexity which makes it suitable for online implementations. Some important and related patents in the field of QoE measurement and monitoring in the networks are being investigated.
机译:Internet上宽带多媒体服务的快速发展以及对更高质量视频的需求意味着,必须通过易于发生分组错误的信道对传输视频序列进行体验质量(QoE)测量。由于容易发生分组错误的信道的固有属性会在传输的媒体上造成质量下降,并且主观质量测量技术的成本高昂且耗时,因此,基于在线客观测量方法是一项重要任务。在当前的工作中,正在开发一种低复杂度的客观视频质量测量算法,其中通过考虑可能影响视频质量的各种因素,可以以可接受的精度估算主观视频质量。然后,将所提出的目标算法的性能与流行的主观技术进行比较。仿真结果验证了该算法的准确性。另一方面,所提出的算法具有低复杂度,使其适合在线实施。网络中QoE测量和监视领域的一些重要和相关专利正在研究中。

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