Enhanced Pixel-Based Video Frame Interpolation Algorithms

Ben Belgacem, Youssef, Jim Bizzocchi
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引用次数: 2

Abstract

In this paper, we compare three motion compensated interpolation (MCI) algorithms: adjacent-frame motion compensated interpolation (AFI), wide-span motion compensated interpolation (WS-TH), and wide-span motion compensated interpolation with spatial hinting (WS-TH+SH). The latter represents an extension to WS-TH by adding spatial hinting to the generation of motion vectors. The methods are quantitatively compared with the objective of optimizing interpolated frame quality relative to control interpolated frames. This is important because for high-resolution large flat-panel displays, frame transition coherence becomes a critical factor in assessing the quality of the user's viewing experience. To enhance MCI, the encoder should attempt to exploit long-term statistical dependencies, precisely estimate motion by modeling the motion vector field, and superimpose efficient prediction/interpolation algorithms. Computer simulations using artificially generated video sequences demonstrate the consistent advantage of both WS- TH and WS-TH+SH over AFI under increasingly complex source scenes and chaotic occlusion conditions.
增强的基于像素的视频帧插值算法
在本文中,我们比较了三种运动补偿插值(MCI)算法:邻接帧运动补偿插值(AFI)、宽跨度运动补偿插值(WS-TH)和带空间暗示的大跨度运动补偿插值(WS-TH+SH)。后者通过向运动矢量的生成添加空间提示来表示WS-TH的扩展。将这些方法与优化插值帧质量相对于控制插值帧的目标进行了定量比较。这一点很重要,因为对于高分辨率的大型平板显示器,帧过渡一致性成为评估用户观看体验质量的关键因素。为了增强MCI,编码器应该尝试利用长期的统计依赖关系,通过建模运动向量场来精确估计运动,并叠加有效的预测/插值算法。使用人工生成视频序列的计算机模拟表明,在日益复杂的源场景和混沌遮挡条件下,WS-TH和WS-TH+SH都优于AFI。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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