Inter-image Affinity based Interactive Video Object Segmentation

Yuk Heo, Yeong Jun Koh, Chang Su Kim

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

Abstract

A procedure of interactive video object segmentation is cutting out a target object in a video by repeatedly providing user-annotations (points, lines, etc.) to an algorithm. In this paper, the procedure is achieved by generating the inter-image affinity matrix between the target frame and the annotated frame, and the other matrix between the previous frame and the target frame. By utilizing the two inter-image affinity matrices, we transport encoded features of the annotated frame and the previous frame for the target object. Through the experimental result, we show that exploiting the inter-image affinity matrices are effective for conducting the interactive video object segmentation.

Original languageEnglish
Title of host publicationICTC 2020 - 11th International Conference on ICT Convergence
Subtitle of host publicationData, Network, and AI in the Age of Untact
PublisherIEEE Computer Society
Pages384-386
Number of pages3
ISBN (Electronic)9781728167589
DOIs
Publication statusPublished - 2020 Oct 21
Event11th International Conference on Information and Communication Technology Convergence, ICTC 2020 - Jeju Island, Korea, Republic of
Duration: 2020 Oct 212020 Oct 23

Publication series

NameInternational Conference on ICT Convergence
Volume2020-October
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference11th International Conference on Information and Communication Technology Convergence, ICTC 2020
CountryKorea, Republic of
CityJeju Island
Period20/10/2120/10/23

Keywords

  • Interactive Video Object Segmentation
  • Segmentation
  • Video Object Segmentation

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

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