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231223s2004 xx ||||| 00| ||eng c |
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|a (DE-627)NLM153094354
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Erdem, Ciğdem Eroğlu
|e verfasserin
|4 aut
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| 245 |
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|a Performance measures for video object segmentation and tracking
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|c 2004
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 10.02.2005
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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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|a We propose measures to evaluate quantitatively the performance of video object segmentation and tracking methods without ground-truth (GT) segmentation maps. The proposed measures are based on spatial differences of color and motion along the boundary of the estimated video object plane and temporal differences between the color histogram of the current object plane and its predecessors. They can be used to localize (spatially and/or temporally) regions where segmentation results are good or bad; and/or they can be combined to yield a single numerical measure to indicate the goodness of the boundary segmentation and tracking results over a sequence. The validity of the proposed performance measures without GT have been demonstrated by canonical correlation analysis with another set of measures with GT on a set of sequences (where GT information is available). Experimental results are presented to evaluate the segmentation maps obtained from various sequences using different segmentation approaches
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|a Comparative Study
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| 650 |
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|a Evaluation Study
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| 650 |
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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| 650 |
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|a Validation Study
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| 700 |
1 |
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|a Sankur, Bülent
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Tekalp, A Murat
|e verfasserin
|4 aut
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| 773 |
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8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 13(2004), 7 vom: 23. Juli, Seite 937-51
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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| 773 |
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8 |
|g volume:13
|g year:2004
|g number:7
|g day:23
|g month:07
|g pages:937-51
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| 912 |
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|a GBV_ILN_350
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| 951 |
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|a AR
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| 952 |
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|d 13
|j 2004
|e 7
|b 23
|c 07
|h 937-51
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