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Memory Selection Network for Video Propagation

Conference paper
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 12360)

Abstract

Video propagation is a fundamental problem in video processing where guidance frame predictions are propagated to guide predictions of the target frame. Previous research mainly treats the previous adjacent frame as guidance, which, however, could make the propagation vulnerable to occlusion, large motion and inaccurate information in the previous adjacent frame. To tackle this challenge, we propose a memory selection network, which learns to select suitable guidance from all previous frames for effective and robust propagation. Experimental results on video object segmentation and video colorization tasks show that our method consistently improves performance and can robustly handle challenging scenarios in video propagation.

Supplementary material

504470_1_En_11_MOESM1_ESM.pdf (655 kb)
Supplementary material 1 (pdf 654 KB)

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.The Chinese University of Hong KongHong KongChina
  2. 2.University of Hong KongHong KongChina
  3. 3.SmartMoreShenzhenChina

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