基于混合语义场景的纠错系统

J. Kuo, Chien-Wu Tsai, Ja-Ling Wu
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引用次数: 0

摘要

提出了一种基于h .263视频的混合语义场景纠错系统。为验证h .263视频不同排列方式的鲁棒性提供了实验平台。基于场景的错误恢复方法是为了改进传统的场景或镜头变化导致的错误隐藏方法的不足。该系统为我们提供了在不同误差条件下,不同的抗误差技术组合所产生的影响的重要信息。此外,还提出了一些新的抗干扰技术。本实验系统的目的是为构建一个基于h .263的鲁棒性视频通信应用提供一个开发辅助工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hybrid semantic scene-based error resilient system
We propose a hybrid semantic scene-based error resilient system for H.263-based video. which can provide us an experimental platform for verifying the error robustness of H.263-based video with different arrangements. The scene-based error resilience approach is designed to improve the insufficiency of conventional error concealment schemes due to the occurrence of scene or shot change. This system gives us a lot of significant information about the effect of different combinations of error resilient techniques under different error conditions. In addition, some new error resilient techniques are proposed. The goal of this experimental system is to provide a developing assistant tool for constructing an error robust H.263-based video communication application.
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