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231223s2008 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2008.921985
|2 doi
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|a pubmed24n0599.xml
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Qi, Bin
|e verfasserin
|4 aut
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| 245 |
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|a Robust global motion estimation oriented to video object segmentation
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|c 2008
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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| 500 |
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|a Date Completed 19.06.2008
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|a Date Revised 10.12.2019
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|a published: Print
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|a Citation Status MEDLINE
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| 520 |
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|a Most global motion estimation (GME) methods are oriented to video coding while video object segmentation methods either assume no global motion (GM) or directly adopt a coding-oriented method to compensate for GM. This paper proposes a hierarchical differential GME method oriented to video object segmentation. A scheme which combines three-step search and motion parameters prediction is proposed for initial estimation to increase efficiency. A robust estimator that uses object information to reject outliers introduced by local motion is also proposed. For the first frame, when the object information is unavailable, a robust estimator is proposed which rejects outliers by examining their distribution in local neighborhoods of the error between the current and the motion-compensated previous frame. Subjective and objective results show that the proposed method is more robust, more oriented to video object segmentation, and faster than the referenced methods
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|a Evaluation Study
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|a Journal Article
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| 650 |
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|a Research Support, Non-U.S. Gov't
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| 700 |
1 |
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|a Ghazal, Mohammed
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Amer, Aishy
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 17(2008), 6 vom: 01. Juni, Seite 958-67
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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| 773 |
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|g volume:17
|g year:2008
|g number:6
|g day:01
|g month:06
|g pages:958-67
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|u http://dx.doi.org/10.1109/TIP.2008.921985
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