无线多媒体通信中基于机器学习的感知视频编码

Shengxi Li, Mai Xu, Yufan Liu, Z. Ding
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引用次数: 0

摘要

在本章中,我们介绍了应用基于机器学习的感知编码策略在缓解无线多媒体通信带宽限制方面的优势。本章介绍了典型的视频编码标准,特别是目前最先进的高效视频编码(HEVC)标准以及感知视频编码的最新研究进展。我们进一步展示了一个例子,通过使用基于机器学习的显著性检测对主观质量进行建模,从而最大限度地减少了整体感知失真。我们还提出了基于学习的感知视频编码的几个有前途的方向,以进一步提高无线多媒体通信体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine-learning-based perceptual video coding in wireless multimedia communications
We present in this chapter the advantage of applying machine-learning-based perceptual coding strategies in relieving bandwidth limitation for wireless multimedia communications. Typical video-coding standards, especially the state-of-the-art high efficiency video coding (HEVC) standard as well as recent research progress on perceptual video coding, are included in this chapter. We further demonstrate an example that minimizes the overall perceptual distortion by modeling subjective quality with machine-learning-based saliency detection. We also present several promising directions in learning-based perceptual video coding to further enhance wireless multimedia communication experience.
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