Partial distortion search algorithm using predictive search area for fast full-search motion estimation

Xuan Jing, Lap Pui Chau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

In this letter, a fast partial distortion search algorithm for motion estimation is presented. The proposed method is based on the observation that when normalized partial distortion is utilized, the false rejection of impossible candidates most likely occurs within a small area adjacently located near the true motion vector. Our objective is to enhance the prediction accuracy in this small predictive search area and further save computations outside this area. Experimental results show that the proposed algorithm achieves an average 42 times speedup ratio as compared to full-search algorithm with only 0.05 dB degradation in PSNR performance.

Original languageEnglish
Pages (from-to)840-843
Number of pages4
JournalIEEE Signal Processing Letters
Volume14
Issue number11
DOIs
Publication statusPublished - Nov 2007
Externally publishedYes

Keywords

  • Block matching
  • Motion estimation
  • Partial distortion search
  • Predictive search area

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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