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231223s2001 xx |||||o 00| ||eng c |
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|a 10.1109/83.892453
|2 doi
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|a pubmed24n0591.xml
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Lim, K P
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Low-bit-rate video coding using dense motion field and uncovered background prediction
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|c 2001
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 25.06.2010
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| 500 |
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|a Date Revised 05.02.2008
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a It is well known that accurate dense motion field can improve the video coding efficiency. This paper presents a novel Markov random field (MRF) model that estimates both the dense motion and uncovered background fields in image sequences, and the application of these estimates in H.263-based video coding framework
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| 650 |
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|a Journal Article
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| 700 |
1 |
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|a Chong, M N
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Das, A
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 10(2001), 1 vom: 15., Seite 164-6
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|x 1941-0042
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|g volume:10
|g year:2001
|g number:1
|g day:15
|g pages:164-6
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|u http://dx.doi.org/10.1109/83.892453
|3 Volltext
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