Base-Anchored Model for Highly Scalable and Accessible Compression of Multiview Imagery
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 al...
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| Veröffentlicht in: | IEEE transactions on image processing 2019-07, Vol.28 (7), p.3205-3218 |
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| container_title | IEEE transactions on image processing |
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| creator | Ruefenacht, Dominic Naman, Aous Thabit Mathew, Reji Taubman, David |
| description | 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. |
| doi_str_mv | 10.1109/TIP.2019.2894968 |
| format | Article |
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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.</description><subject>Accessibility</subject><subject>Anchors</subject><subject>Cameras</subject><subject>compression of multiview imagery</subject><subject>Disparity modeling</subject><subject>disparity-compensated inter-view transform</subject><subject>Encoding</subject><subject>Image coding</subject><subject>Image compression</subject><subject>JPEG encoders-decoders</subject><subject>Transform coding</subject><subject>Transforms</subject><subject>Two dimensional displays</subject><subject>Wavelet transforms</subject><issn>1057-7149</issn><issn>1941-0042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1r3DAQhkVpadK090KhCHrJxRuNPq3jdkmahYQGmtKjkOVx4mBbW2mdsv--WnabQ08zg553GD2EfAS2AGD24n59t-AM7ILXVlpdvyKnYCVUjEn-uvRMmcqAtCfkXc5PjIFUoN-SE8G00VbzU_Lrq89YLafwGBO29Da2ONAuJnrdPzwOO_oj-ME3A1I_tXQZAubc78dVHDdpP8SJxo7ezsO2f-7xD12P_gHT7j150_kh44djPSM_ry7vV9fVzfdv69Xypgqittuqk9yHRnDV1t6YwLhhNWguA9jGIrat9E2rQCnRmPI_w0FYxawBJaDhWogzcn7Yu0nx94x568Y-BxwGP2Gcs-NgrNQlYQv65T_0Kc5pKtc5zrkGrUFCodiBCinmnLBzm9SPPu0cMLeX7op0t5fujtJL5PNx8dyM2L4E_lkuwKcD0CPiy3OtuRK1Fn8BP0aDPA</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Ruefenacht, Dominic</creator><creator>Naman, Aous Thabit</creator><creator>Mathew, Reji</creator><creator>Taubman, David</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Accessibility Anchors Cameras compression of multiview imagery Disparity modeling disparity-compensated inter-view transform Encoding Image coding Image compression JPEG encoders-decoders Transform coding Transforms Two dimensional displays Wavelet transforms |
| title | Base-Anchored Model for Highly Scalable and Accessible Compression of Multiview Imagery |
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