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Tracking Performance of Several Combinations of Common Evaluation Metrics and Sub-pixel Methods

Albinsson, John LU orcid ; Jansson, Tomas LU and Cinthio, M. (2015) 16th Nordic-Baltic Conference on Biomedical Engineering (NBC) / 10th MTD Joint Conference 48. p.13-16
Abstract
Motion estimation in a series of consecutive images is used in a variety of areas, e.g. video compression and investigation of tissue characteristics and organ function in medical images. Several methods exist both for estimating motions on a pixel level, e.g. block-matching in which two blocks in consecutive images are compared by an evaluation metric, and on a sub-pixel level. In this paper, we have evaluated the tracking performance of all combinations between three evaluation metrics and eight sub-pixel estimation methods. The tracking performance of a sub-pixel method varies depending on the evaluation metric used. This indicates that a reported tracking performance for a sub-pixel estimation method can be significantly different when... (More)
Motion estimation in a series of consecutive images is used in a variety of areas, e.g. video compression and investigation of tissue characteristics and organ function in medical images. Several methods exist both for estimating motions on a pixel level, e.g. block-matching in which two blocks in consecutive images are compared by an evaluation metric, and on a sub-pixel level. In this paper, we have evaluated the tracking performance of all combinations between three evaluation metrics and eight sub-pixel estimation methods. The tracking performance of a sub-pixel method varies depending on the evaluation metric used. This indicates that a reported tracking performance for a sub-pixel estimation method can be significantly different when combined with another evaluation metric. Also there is a large variation in the time needed for the motion estimations depending primarily on the sub-pixel method used but also on the evaluation metric. (Less)
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author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Sub-pixel estimation, block-matching, motion estimation, ultrasound
host publication
16th Nordic-Baltic Conference on Biomedical Engineering
volume
48
pages
13 - 16
publisher
Springer
conference name
16th Nordic-Baltic Conference on Biomedical Engineering (NBC) / 10th MTD Joint Conference
conference dates
2014-10-14 - 2014-10-16
external identifiers
  • wos:000347893000004
  • scopus:84910674243
ISSN
1680-0737
DOI
10.1007/978-3-319-12967-9_4
language
English
LU publication?
yes
id
8ad2a17f-6659-42c3-b472-9bbcffcac6f7 (old id 5063078)
date added to LUP
2016-04-01 14:47:23
date last changed
2024-10-10 21:38:45
@inproceedings{8ad2a17f-6659-42c3-b472-9bbcffcac6f7,
  abstract     = {{Motion estimation in a series of consecutive images is used in a variety of areas, e.g. video compression and investigation of tissue characteristics and organ function in medical images. Several methods exist both for estimating motions on a pixel level, e.g. block-matching in which two blocks in consecutive images are compared by an evaluation metric, and on a sub-pixel level. In this paper, we have evaluated the tracking performance of all combinations between three evaluation metrics and eight sub-pixel estimation methods. The tracking performance of a sub-pixel method varies depending on the evaluation metric used. This indicates that a reported tracking performance for a sub-pixel estimation method can be significantly different when combined with another evaluation metric. Also there is a large variation in the time needed for the motion estimations depending primarily on the sub-pixel method used but also on the evaluation metric.}},
  author       = {{Albinsson, John and Jansson, Tomas and Cinthio, M.}},
  booktitle    = {{16th Nordic-Baltic Conference on Biomedical Engineering}},
  issn         = {{1680-0737}},
  keywords     = {{Sub-pixel estimation; block-matching; motion estimation; ultrasound}},
  language     = {{eng}},
  pages        = {{13--16}},
  publisher    = {{Springer}},
  title        = {{Tracking Performance of Several Combinations of Common Evaluation Metrics and Sub-pixel Methods}},
  url          = {{http://dx.doi.org/10.1007/978-3-319-12967-9_4}},
  doi          = {{10.1007/978-3-319-12967-9_4}},
  volume       = {{48}},
  year         = {{2015}},
}