Autofocus on Depth of Interest for 3D Image Coding
For some 3D applications, one may want to focus on a specific depth zone representing a region of interest in the scene. In this context, we introduce a new functionality called “autofocus” for 3D image coding, exploiting the depth map as an additional semantic information provided by the 3D sequenc...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2017/9689715 |
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| _version_ | 1849468408500846592 |
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| author | Khouloud Samrouth Olivier Deforges Yi Liu Mohamad Khalil Wassim EL Falou |
| author_facet | Khouloud Samrouth Olivier Deforges Yi Liu Mohamad Khalil Wassim EL Falou |
| author_sort | Khouloud Samrouth |
| collection | DOAJ |
| description | For some 3D applications, one may want to focus on a specific depth zone representing a region of interest in the scene. In this context, we introduce a new functionality called “autofocus” for 3D image coding, exploiting the depth map as an additional semantic information provided by the 3D sequence. The method is based on a joint “Depth of Interest” (DoI) extraction and coding scheme. First, the DoI extraction scheme consists of a precise extraction of objects located within a DoI zone, given by the viewer or deduced from an analysis process. Then, the DoI coding scheme provides a higher quality for the objects in the DoI at the expense of other depth zones. The local quality enhancement supports both higher SNR and finer resolution. The proposed scheme embeds the Locally Adaptive Resolution (LAR) codec, initially designed for 2D images. The proposed DoI scheme is developed without modifying the global coder framework, and the DoI mask is not transmitted, but it is deduced at the decoder. Results showed that our proposed joint DoI extraction and coding scheme provide a high correlation between texture objects and depth. This consistency avoids the distortion along objects contours in depth maps and those of texture images and synthesized views. |
| format | Article |
| id | doaj-art-f6d2cdae7d7c4ccd9d67d648c62870be |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-f6d2cdae7d7c4ccd9d67d648c62870be2025-08-20T03:25:52ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552017-01-01201710.1155/2017/96897159689715Autofocus on Depth of Interest for 3D Image CodingKhouloud Samrouth0Olivier Deforges1Yi Liu2Mohamad Khalil3Wassim EL Falou4UEB, CNRS UMR 6164, IETR Lab, INSA de Rennes 20, Avenue des Buttes de Coesmes, CS 70839, 35708 Rennes, FranceUEB, CNRS UMR 6164, IETR Lab, INSA de Rennes 20, Avenue des Buttes de Coesmes, CS 70839, 35708 Rennes, FranceUEB, CNRS UMR 6164, IETR Lab, INSA de Rennes 20, Avenue des Buttes de Coesmes, CS 70839, 35708 Rennes, FranceFaculty of Engineering I, Lebanese University, Tripoli, LebanonFaculty of Engineering I, Lebanese University, Tripoli, LebanonFor some 3D applications, one may want to focus on a specific depth zone representing a region of interest in the scene. In this context, we introduce a new functionality called “autofocus” for 3D image coding, exploiting the depth map as an additional semantic information provided by the 3D sequence. The method is based on a joint “Depth of Interest” (DoI) extraction and coding scheme. First, the DoI extraction scheme consists of a precise extraction of objects located within a DoI zone, given by the viewer or deduced from an analysis process. Then, the DoI coding scheme provides a higher quality for the objects in the DoI at the expense of other depth zones. The local quality enhancement supports both higher SNR and finer resolution. The proposed scheme embeds the Locally Adaptive Resolution (LAR) codec, initially designed for 2D images. The proposed DoI scheme is developed without modifying the global coder framework, and the DoI mask is not transmitted, but it is deduced at the decoder. Results showed that our proposed joint DoI extraction and coding scheme provide a high correlation between texture objects and depth. This consistency avoids the distortion along objects contours in depth maps and those of texture images and synthesized views.http://dx.doi.org/10.1155/2017/9689715 |
| spellingShingle | Khouloud Samrouth Olivier Deforges Yi Liu Mohamad Khalil Wassim EL Falou Autofocus on Depth of Interest for 3D Image Coding Journal of Electrical and Computer Engineering |
| title | Autofocus on Depth of Interest for 3D Image Coding |
| title_full | Autofocus on Depth of Interest for 3D Image Coding |
| title_fullStr | Autofocus on Depth of Interest for 3D Image Coding |
| title_full_unstemmed | Autofocus on Depth of Interest for 3D Image Coding |
| title_short | Autofocus on Depth of Interest for 3D Image Coding |
| title_sort | autofocus on depth of interest for 3d image coding |
| url | http://dx.doi.org/10.1155/2017/9689715 |
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