使用静态背景模型的视频编码的最新进展

A. Krutz, A. Glantz, T. Sikora
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引用次数: 2

摘要

在MPEG-4 Visual中标准化的精灵编码在客观上和主观上都比普通的混合视频编解码器产生更好的性能。然而,最先进的视频编码标准H.264/AVC在宽比特率范围内明显优于MPEG-4视觉精灵编码。基于精灵编码的思想,提出了一种融合H.264/AVC和精灵编码优点的视频编码技术。为此,用于全局运动估计、精灵生成和对象分割的复杂算法(所有这些都需要彻底的精灵编码)被整合到H.264/AVC编码环境中。该方法在较低比特率范围内优于H.264/AVC。可节省高达21%的费用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent advances in video coding using static background models
Sprite coding, as standardized in MPEG-4 Visual, can result in superior performance compared to common hybrid video codecs both objectively and subjectively. However, state-of-the-art video coding standard H.264/AVC clearly outperforms MPEG-4 Visual sprite coding in broad bit rate ranges. Based on the sprite coding idea, this paper proposes a video coding technique that merges the advantages of H.264/AVC and sprite coding. For that, sophisticated algorithms for global motion estimation, sprite generation and object segmentation — all needed for thorough sprite coding — are incorporated into an H.264/AVC coding environment. The proposed approach outperforms H.264/AVC especially in lower bit rate ranges. Savings up to 21% can be achieved.
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