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 contributionpeer-review

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
StatePublished - 2010
Event11th Pacific Rim Conference on Multimedia, PCM 2010 - Shanghai, China
Duration: 21 Sep 201024 Sep 2010

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

Conference

Conference11th Pacific Rim Conference on Multimedia, PCM 2010
Country/TerritoryChina
CityShanghai
Period21/09/1024/09/10

Keywords

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

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