低比特率信道的视觉引导压缩

S. Chai, Yingxue Li, M. Isnardi, A. Kopansky
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引用次数: 0

摘要

全动态视频(FMV)在不可靠的、低比特率的网络信道中受到抖动和块伪影等质量问题的困扰。在本文中,我们介绍了视觉引导压缩(VGC)作为一种预处理技术,可以与基于标准的视频编码相结合,以提供低比特率的FMV。VGC利用计算机视觉算法跟踪显著特征并保持其清晰度,而非显著特征则进行低通滤波。通过这种方法,VGC提供了一个额外的空间参数来优雅地调整QoS,同时提供FMV并保留显著的视觉信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vision Guided Compression on low-bit rate channels
Full motion video (FMV) in unreliable, low-bit rate network channels suffers from quality issues such as jitter and block artifacts. In this paper, we introduce Vision Guided Compression (VGC), as a pre-processing technology that can be coupled with standards-based video coding, to provide FMV at low-bit rates. VGC utilizes computer vision algorithms to track salient features and keep them sharp, while non-salient features are lowpass filtered. With this approach, VGC provides an additional spatial parameter to gracefully tune the QoS, while providing FMV and preserving salient visual information.
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