Advertisement video completion using hierarchical model

Chih Lun Fang, Tsung Han Tsai

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

3 Scopus citations

Abstract

With the rapid spread of video content, some embedded videotexts are superfluous advertisements needing an approach to remove. Because conventional video completion methods only deal with the limited video repairing, an adaptive advertisement video completion algorithm recovering various types of large and structural regions is designed. It poses the task of videotext removal as a hierarchical model. At the top of the hierarchy, the rotated block matching is derived, and temporal structure is recovered by the adaptive interpolation algorithm. Simultaneously, spatial structure is completed by the extension algorithm. At the bottom of the hierarchy, the spatial texture region completion is carried out by gradient derivative smooth propagation and duplication. The contribution is its comprehension and applicability to various types of videos. The experimental results show that all of the various videotext regions can be completed with temporal and spatial consistency, and the performance is superior to other existing methods.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
Pages1557-1560
Number of pages4
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Hannover, Germany
Duration: 23 Jun 200826 Jun 2008

Publication series

Name2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings

Conference

Conference2008 IEEE International Conference on Multimedia and Expo, ICME 2008
Country/TerritoryGermany
CityHannover
Period23/06/0826/06/08

Keywords

  • Spatial-temporal consistency
  • Structure-texture completion
  • Video completion
  • Videotext removal

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