Moving Average Interpolation
Moving Average Interpolation is a data-driven interpolation method that estimates missing values by computing a weighted average of neighboring observed data points, where the weights are determined by a sliding window that systematically moves across the sequence to preserve local trends and reduce noise.
19
Publications
769
Citations
51
Authors
25
Institutions
Publications per year
2017–2026
4
Parents
19
A comprehensive survey on video frame interpolation techniques
Anil Singh Parihar, Disha Varshney, Kshitija Pandya et al. · The Visual Computer · 2021 · 55 citations
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25

University of Alberta
Edmonton, Canada
2 h-index
2 publications
119 citations
Alberta Environment and Protected Areas
Edmonton, Canada
2 h-index
2 publications
119 citations
Environmental Protection Agency
Washington, United States
1 h-index
3 publications
120 citations
University of San Francisco
San Francisco, United States
1 h-index
1 publications
30 citations

West Pomeranian University of Technology in Szczecin
Szczecin, Poland
1 h-index
1 publications
36 citations
National Research Council
Rome, Italy
1 h-index
3 publications
57 citations
Fundación Ciencias Exactas y Naturales
Buenos Aires, Argentina
1 h-index
1 publications
27 citations
European Commission
Brussels, Belgium
1 h-index
1 publications
16 citations
1–8 of 25
2 publications · 233 citations
2
h-index
1 publications · 30 citations
1
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1 publications · 24 citations
1
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1 publications · 22 citations
1
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1 publications · 40 citations
1
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1–5