Fast video registration method for video quality assessment

Jihwan Choe, Chul Hee Lee

Research output: Contribution to journalArticle

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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
Pages (from-to)597-604
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3211
Publication statusPublished - 2004 Dec 1

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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