Video frame interpolation via optical flow estimation with image inpainting-Reference-Cited by-同舟云学术

Video frame interpolation via optical flow estimation with image inpainting

Published:2020-09-04 Issue:12 Volume:35 Page:2087-2102
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Liu Xiaozhang¹^ORCID,Liu Hui²³^ORCID,Lin Yuxiu²³^ORCID

Affiliation:

1. Department of Computer Science and Cyberspace Security Hainan University Haikou Hainan China

2. Department of Computer Science and Technology Shandong University of Finance and Economics Jinan Shandong China

3. Shandong Key Laboratory of Digital Media Technology Jinan Shandong China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22285

Reference38 articles.

1. YinXL LiangDX WangL et al.Reducing the X‐ray radiation exposure frequency in cardio‐angiography via deep‐learning based video interpolation. arXiv preprint arXiv:200600781;2020.

2. A path planning approach for crowd evacuation in buildings based on improved artificial bee colony algorithm

3. Crowd evacuation simulation approach based on navigation knowledge and two-layer control mechanism

4. Adaptive motion-compensated interpolation for frame rate up-conversion

5. A Database and Evaluation Methodology for Optical Flow

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