Layered motion estimation

R. J. Schutten, A. Pelagotti, G. de Haan

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

A layered motion estimation algorithm is proposed that permits quasi-simultaneous motion estimation/segmentation up to a fixed maximum number of layers. The estimation results in one motion parameter set per layer, and a segmentation map that assigns these sets to different parts of the image (motion layers). Motion in a layer is modelled with at maximum four parameters capable of describing pan, tilt and zoom. The concept shows some hierarchy, i.e. a ranking of the motion layers. In this way the motion parameter estimation concerning one layer excludes those parts of the image that have been described by a layer ranked higher in the hierarchy and are not polluted by parts of the image that are better described by layers ranked lower in the hierarchy. The concept results in a very low operations count. It has been shown to perform well even in critical scan rate conversion applications, particularly in picture rate up-conversion. A variant including three layers has been scheduled to run in real-time on a Philips TriMedia processor.

Original languageEnglish
Pages (from-to)253-267
Number of pages15
JournalPhilips Journal of Research
Volume51
Issue number2
DOIs
Publication statusPublished - 1 Jan 1998
Externally publishedYes

Keywords

  • Layered video
  • Motion compensation
  • Motion estimation
  • Programmable architecture
  • Scan-rate conversion
  • TriMedia
  • Video processing

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