Future Motion Estimation for Video Frame Extrapolation

Seunggyun Woo, Junheum Park, Chang Su Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a novel video frame extrapolation algorithm based on future motion estimation. First, we estimate optical flows between a pair of input frames and predict future motions using two schemes: motion doubling and motion mirroring. Then, we forward warp the input frames by employing the two kinds of predicted motion fields, respectively. Finally, we develop a synthesis network to generate a future frame from the warped frames. Experimental results show that the proposed algorithm outperforms recent video frame extrapolation algorithms on various datasets.

Original languageEnglish
Title of host publication2022 International Conference on Electronics, Information, and Communication, ICEIC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665409346
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Electronics, Information, and Communication, ICEIC 2022 - Jeju, Korea, Republic of
Duration: 2022 Feb 62022 Feb 9

Publication series

Name2022 International Conference on Electronics, Information, and Communication, ICEIC 2022

Conference

Conference2022 International Conference on Electronics, Information, and Communication, ICEIC 2022
Country/TerritoryKorea, Republic of
CityJeju
Period22/2/622/2/9

Keywords

  • future frame synthesis
  • motion doubling
  • motion mirroring
  • Video frame extrapolation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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