Fast video registration method for video quality assessment

Jihwan Choe, Chulhee Lee

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

In this paper, we propose a block-based video registration method that can be used for various applications such as objective video quality assessment. Instead of using the entire frames of a reference video sequence and a processed video sequence, we use a limited number of frames which are selected under a certain criterion and the selected frames are divided into a number of sub-blocks. Then, we select a small number of sub-blocks which have large spatial gradients. In order to find such sub-blocks, a spatial filtering is applied to the sub-blocks of the selected frames and we use energy of filtered sub-blocks to measure spatial gradient. The proposed registration method is fast and experimental results show that the method provides accurate registrations for a wide range of videos.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsAurelio Campilho, Mohamed Kamel
PublisherSpringer Verlag
Pages597-604
Number of pages8
ISBN (Print)3540232230, 9783540232230
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3211
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Choe, J., & Lee, C. (2004). Fast video registration method for video quality assessment. In A. Campilho, & M. Kamel (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 597-604). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3211). Springer Verlag. https://doi.org/10.1007/978-3-540-30125-7_74