带有错误隐藏的潜望镜和声纳视频感知无损压缩

C. Kwan, Jude Larkin, Bence Budavari, Eric Shang, T. Tran
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引用次数: 6

摘要

我们提出了一个具有两个关键特性的视频压缩框架。首先,我们的目标是实现低帧率视频(6帧/秒)的感知无损压缩。对文献中四种知名的视频编解码器进行了评估,并使用四种知名的性能指标对其性能进行了评估。其次,我们研究了错误隐藏算法对处理通信信道中由于传输错误而损坏的像素的影响。使用实际视频进行了大量实验,以证明所提出的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perceptually Lossless Compression with Error Concealment for Periscope and Sonar Videos
We present a video compression framework that has two key features. First, we aim at achieving perceptually lossless compression for low frame rate videos (6 fps). Four well-known video codecs in the literature have been evaluated and the performance was assessed using four well-known performance metrics. Second, we investigated the impact of error concealment algorithms for handling corrupted pixels due to transmission errors in communication channels. Extensive experiments using actual videos have been performed to demonstrate the proposed framework.
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