基于错误弹性对象视频的自适应形状纹理编码内刷新

Luís Ducla Soares, F. Pereira
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引用次数: 0

摘要

视频编码器可以使用几种技术来提高错误恢复能力。特别是,对于依赖于预测(内部)编码来消除时间冗余的视频编码器,当编码流的传输或存储中发生错误时,编码内刷新对于阻止错误传播特别有用,这可能导致解码质量迅速下降。在基于对象的视频编码器中,帧内编码刷新可以同时应用于形状和纹理数据。本文提出了一种新的组合帧内刷新方案,该方案可用于基于对象的视频编码器,如MPEG-4视频编码器,自适应地确定场景中视频对象的形状和纹理何时需要刷新,以便在一定比特率资源下最大限度地提高解码后的视频质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive shape-texture intra coding refreshment for error resilient object-based video
Video encoders may use several techniques to improve error resilience. In particular, for video encoders that rely on predictive (inter) coding to remove temporal redundancy, intra coding refreshment is especially useful to stop error propagation when errors occur in the transmission or storage of the coded streams, which can cause the decoded quality to decay very rapidly. In object-based video coders, intra coding refreshment can be applied to both shape and texture data. In this paper, a novel combined intra refreshment scheme is proposed which can be used by object-based video encoders, such as MPEG-4 video encoders, to adaptively determine when the shape and texture of the video objects in a scene should be refreshed in order to maximize the decoded video quality for a certain amount of bitrate resources.
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