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A comprehensive survey on video frame interpolation techniques
The Visual Computer ( IF 3.0 ) Pub Date : 2021-01-04 , DOI: 10.1007/s00371-020-02016-y
Anil Singh Parihar , Disha Varshney , Kshitija Pandya , Ashray Aggarwal

Video frame interpolation is an important area in the computer vision research activities for video post-processing, surveillance, and video restoration tasks. It aims toward increasing the frame rate of a video sequence by calculating intermittent frames between consecutive input frames. This ensures extra smooth, clear motion in order to make animation fluid enough and reduce display motion blur. Advanced deep learning algorithms have the potential to discover knowledge from large-scale diverse video data. These algorithms gain insights about intermediate motion and provide new opportunities to further improve video interpolation technologies. This survey demonstrates a comprehensive overview of about a good number of contributions over past decade pertinent to the latest developments in this domain. The survey paper highlights common challenges in the area of video frame interpolation based on three key aspects: high visual quality, low complexity, and high efficiency of interpolated output from regular videos with the standard frame rate. We scrutinize the architectures, workflows, performance, advantages, and disadvantages and generate a broad categorization along with an overview of experimental results of various state-of-the-art methods executed on benchmark datasets. This survey discusses applications of diverse interpolation frameworks. It provides a backbone reference that inspires future researchers to optimize current techniques on academic and industrial grounds.

中文翻译:

视频帧插值技术综合综述

视频帧插值是计算机视觉研究活动中用于视频后处理、监控和视频恢复任务的重要领域。它旨在通过计算连续输入帧之间的间歇帧来提高视频序列的帧速率。这确保了额外平滑、清晰的运动,以使动画足够流畅并减少显示运动模糊。先进的深度学习算法有可能从大规模多样化的视频数据中发现知识。这些算法深入了解中间运动,并为进一步改进视频插值技术提供了新的机会。该调查全面概述了过去十年中与该领域最新发展相关的大量贡献。该调查论文基于三个关键方面突出了视频帧插值领域的常见挑战:高视觉质量、低复杂度和标准帧速率的常规视频插值输出的高效率。我们仔细检查了架构、工作流程、性能、优点和缺点,并生成了广泛的分类以及在基准数据集上执行的各种最先进方法的实验结果的概述。本次调查讨论了不同插值框架的应用。它提供了一个骨干参考,激励未来的研究人员在学术和工业领域优化当前技术。以及从具有标准帧速率的常规视频的高效率插值输出。我们仔细检查了架构、工作流程、性能、优点和缺点,并生成了广泛的分类以及在基准数据集上执行的各种最先进方法的实验结果的概述。本次调查讨论了不同插值框架的应用。它提供了一个骨干参考,激励未来的研究人员在学术和工业领域优化当前技术。以及从具有标准帧速率的常规视频的高效率插值输出。我们仔细检查了架构、工作流程、性能、优点和缺点,并生成了广泛的分类以及在基准数据集上执行的各种最先进方法的实验结果的概述。本次调查讨论了不同插值框架的应用。它提供了一个骨干参考,激励未来的研究人员在学术和工业领域优化当前技术。本次调查讨论了不同插值框架的应用。它提供了一个骨干参考,激励未来的研究人员在学术和工业领域优化当前技术。本次调查讨论了不同插值框架的应用。它提供了一个骨干参考,激励未来的研究人员在学术和工业领域优化当前技术。
更新日期:2021-01-04
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