Automated Real Time Video Quality Measurement Using Levenberg-Marquardt Backpropagation Algorithm

P. Archana, S. Kulkarni
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引用次数: 2

Abstract

With high volumes of Multimedia data transmission becoming a reality, most of the networks are capable of meeting only bare requirements of video information transfer. An important aspect of video transfer is to deal with User's satisfaction in terms of quality of service. Hence new methods are being proposed to meet user's criteria. In this paper a frame work has been described based on Artificial Neural Networks for real time video quality assessment.
基于Levenberg-Marquardt反向传播算法的自动实时视频质量测量
随着大量多媒体数据传输成为现实,大多数网络只能满足视频信息传输的基本要求。视频传输的一个重要方面是处理用户在服务质量方面的满意度。因此,新的方法被提出,以满足用户的标准。本文描述了一种基于人工神经网络的实时视频质量评估框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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