High quality video acquisition and segmentation using alternate flashing system

Dae Youn Lee, Jae Kyun Ahn, Chul Lee, Chang-Su Kim

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

Abstract

A high quality video acquisition algorithm is proposed in this work. We construct a flashing system to capture lit and unlit frames alternately. We develop a reliable motion estimation scheme, which matches correspondences between an unlit frame and a lit frame. Then, we construct a high quality frame, which combines natural scene mood in the unlit frame and textural details in the lit frame. Furthermore, we propose an object segmentation algorithm based on the observation that foreground objects are more sensitive to flash lights than backgrounds. Simulation results demonstrate that the proposed algorithm can acquire high quality video sequences and segment foreground objects from the sequences efficiently.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings
Pages452-461
Number of pages10
EditionPART 2
DOIs
Publication statusPublished - 2010
Event11th Pacific Rim Conference on Multimedia, PCM 2010 - Shanghai, China
Duration: 2010 Sep 212010 Sep 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6298 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th Pacific Rim Conference on Multimedia, PCM 2010
CountryChina
CityShanghai
Period10/9/2110/9/24

Keywords

  • Video enhancement
  • flashing system
  • motion estimation
  • video object segmentation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Lee, D. Y., Ahn, J. K., Lee, C., & Kim, C-S. (2010). High quality video acquisition and segmentation using alternate flashing system. In Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings (PART 2 ed., pp. 452-461). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6298 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-15696-0_42