Efficient image segmentation and its application to motion estimation

R.B. Wittebrood, G. Haan, de

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

Abstract

In this paper, a new concept is introduced for economy image segmentation applicable in an earlier designed object based motion estimation algorithm. The image segmentation is based on simple features, like average grayscale within a segment, and uses spatial-temporal predictions in order to economize the segmentation procedure. Focus is on the segmentation process and the robust application of a non-perfect segmentation mask in the object based motion estimator. In this application, the new image segmentation method helps to improve the motion segmentation, while reducing the operations count. The paper describes both the object-based motion estimation and the block-based image segmentation. Experimental results are described in order to proof the validity of the concept.
Original languageEnglish
Title of host publicationImage and Video Communications and Processing 2003 (IVCP 2003)
Place of PublicationBellingham
PublisherSPIE
Pages58-66
Number of pages9
DOIs
Publication statusPublished - 2003
EventIIS&T/SPIE Electronic Imaging 2003, Santa Clara, CA, USA -
Duration: 20 Jan 200324 Jan 2003

Publication series

NameProceedings of SPIE
Volume5022
ISSN (Print)0277-786X

Conference

ConferenceIIS&T/SPIE Electronic Imaging 2003, Santa Clara, CA, USA
Period20/01/0324/01/03
OtherIIS&T/SPIE Electronic Imaging 2003, Santa Clara, CA, USA

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