Progressive videotext regions inpainting based on edge detection and statistic method

Tsung Han Tsai, Chih Lun Fang, Hsueh Yi Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

With the rapid speed of spreading video content, there is some videotext in the video content. Usually some videotext is the advertisements and it is not needed for some people. Most image inpainting methods deal with the broken regions occurring when the original image is broken. Few methods can handle the inpainting of the original region occupied by motion videotext well since the complex background of motion videotext. In this paper, we propose a progressive method to recover the original region occupied by the scrolling videotexts. Besides, we utilize the characteristic of the edge along with the videotext region's boundary to form a searching window or use the mean value of neighboring blocks for recovering. The block searching recovery method is carried out by shifting the reference block spirally to compare with the neighboring windows. We have completed the whole system and the experimental results show all of the horizontal and vertical scrolling videotexts can be recovered well.

Original languageEnglish
Title of host publicationIMECS 2006 - International MultiConference of Engineers and Computer Scientists 2006
Pages614-618
Number of pages5
StatePublished - 2006
EventInternational MultiConference of Engineers and Computer Scientists 2006, IMECS 2006 - Kowloon, Hong Kong
Duration: 20 Jun 200622 Jun 2006

Publication series

NameLecture Notes in Engineering and Computer Science
ISSN (Print)2078-0958

Conference

ConferenceInternational MultiConference of Engineers and Computer Scientists 2006, IMECS 2006
Country/TerritoryHong Kong
CityKowloon
Period20/06/0622/06/06

Keywords

  • Edge detection
  • Progressive processing
  • Region recovery
  • Video inpainting

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