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Efficiency of Closed and Open-Loop Scalable Wavelet Based Video Coding

机译:基于闭环和可扩展小波的视频编码效率

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摘要

Video compression techniques can be classified into scalable and non-scalable. Scalable coding is more suitable in variable band-width scenarios because it improves the quality of the reconstructed video. On the other hand, the scalability has a cost in terms of coding efficiency and complexity. This paper describes a JPEG2000-and-MCTF-based fully scalable video codec (FSVC) and analyzes a set of experiments to measure the cost of the scalability, comparing two different FSVC encoders: open-loop FSVC and closed-loop FSVC. In the open-loop version of FSVC, the encoder uses the original images to make the predictions. The closed-loop scheme generates the predictions with reference images identical to those obtained by the decoder at a given bitrate. Numerical and visual results demonstrate a small loss of the coding efficiency for the open-loop scheme. Moreover, the inclusion of the closed-loop increases the complexity of the encoder and produces poor performance at high bitrates.
机译:视频压缩技术可以分为可缩放和不可缩放。可伸缩编码更适合于可变带宽场景,因为它提高了重构视频的质量。另一方面,可伸缩性在编码效率和复杂性方面具有成本。本文介绍了基于JPEG2000和MCTF的完全可伸缩视频编解码器(FSVC),并比较了两种不同的FSVC编码器:开环FSVC和闭环FSVC,分析了一组测量可伸缩性成本的实验。在FSVC的开环版本中,编码器使用原始图像进行预测。闭环方案使用与解码器在给定比特率下获得的参考图像相同的参考图像生成预测。数值和视觉结果表明,开环方案的编码效率损失很小。此外,包含闭环会增加编码器的复杂性,并在高比特率下产生较差的性能。

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