使用运动精灵的动态视频背景的紧凑表示

Solomon Garber, Aaditya (Adi) Prakash, Ryan Marcus, Antonella DiLillo, J. Storer
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引用次数: 1

摘要

我们提出了一种方法,将精灵编码的想法扩展到包含各种自然发生的背景运动的视频中,这可能会被纳入现有和未来的视频标准。现有的MPEG-4第2部分标准,现在已经有将近20年的历史了,提供了在单独的层中存储对象的能力,并包括一个精灵模式,其中背景层是通过裁剪基于帧范围全局运动参数的静止图像来生成的,但是包含更一般背景运动的视频不能用精灵模式有效地编码。我们提出了一种感知驱动的有损压缩算法,其中振荡背景运动可以被紧凑地编码。我们的模型通过参考光流的时不变表示来实现低比特率,每帧仅添加几个参数。在非常低的比特率下,我们的技术可以提供视觉质量的动态背景,这可能是传统方法无法实现的,因为传统方法会产生不可接受的阻塞和振铃伪影。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compact Representations of Dynamic Video Background Using Motion Sprites
We present a method to extend the idea of sprite coding to videos containing a wide variety of naturally occurring background motion, which could potentially be incorporated into existing and future video standards. The existing MPEG-4 part 2 standard, now almost 20 years old, provides the ability to store objects in separate layers, and includes a sprite mode where the background layer is generated by cropping a still image based on frame-wide global motion parameters, but videos containing more general background motion cannot be effectively encoded with sprite mode. We propose a perceptually motivated lossy compression algorithm, where oscillatory background motion can be compactly encoded. Our model achieves a low bit rate by referencing a time-invariant representation of the optical flow with only a few added parameters per frame. At very low bit rates, our technique can provide dynamic backgrounds at a visual quality that may not be achievable by traditional methods which are known to produce unacceptable blocking and ringing artifacts.
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