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231225s2019 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2019.2894968
|2 doi
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|a eng
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| 100 |
1 |
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|a Ruefenacht, Dominic
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Base-Anchored Model for Highly Scalable and Accessible Compression of Multiview Imagery
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|c 2019
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Revised 20.11.2019
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a We present a compression scheme for multiview imagery that facilitates high scalability and accessibility of the compressed content. Our scheme relies upon constructing at a single base view, a disparity model for a group of views, and then utilizing this base-anchored model to infer disparity at all views belonging to the group. We employ a hierarchical disparity-compensated inter-view transform where the corresponding analysis and synthesis filters are applied along the geometric flows defined by the base-anchored disparity model. The output of this inter-view transform along with the disparity information is subjected to spatial wavelet transforms and embedded block-based coding. Rate-distortion results reveal superior performance to the x.265 anchor chosen by the JPEG Pleno standards activity for the coding of multiview imagery captured by high-density camera arrays
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|a Journal Article
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| 700 |
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|a Naman, Aous Thabit
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Mathew, Reji
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Taubman, David
|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 28(2019), 7 vom: 23. Juli, Seite 3205-3218
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|x 1941-0042
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| 773 |
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|g volume:28
|g year:2019
|g number:7
|g day:23
|g month:07
|g pages:3205-3218
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|u http://dx.doi.org/10.1109/TIP.2019.2894968
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