Model-based joint bit allocation between geometry and color for video-based 3D point cloud compression
dc.cclicence | CC-BY-NC | en |
dc.contributor.author | Liu, Qi | |
dc.contributor.author | Yuan, Hui | |
dc.contributor.author | Hou, Junhui | |
dc.contributor.author | Hamzaoui, Raouf | |
dc.contributor.author | Su, Honglei | |
dc.date.acceptance | 2020-08-28 | |
dc.date.accessioned | 2020-09-08T08:21:04Z | |
dc.date.available | 2020-09-08T08:21:04Z | |
dc.date.issued | 2020 | |
dc.description | The file attached to this record is the author's final peer reviewed version. | en |
dc.description.abstract | In video-based 3D point cloud compression, the quality of the reconstructed 3D point cloud depends on both the geometry and color distortions. Finding an optimal allocation of the total bitrate between the geometry coder and the color coder is a challenging task due to the large number of possible solutions. To solve this bit allocation problem, we first propose analytical distortion and rate models for the geometry and color information. Using these models, we formulate the joint bit allocation problem as a constrained convex optimization problem and solve it with an interior point method. Experimental results show that the rate distortion performance of the proposed solution is close to that obtained with exhaustive search but at only 0.66% of its time complexity. | en |
dc.funder | Other external funder (please detail below) | en |
dc.funder.other | National Natural Science Foundation of China | en |
dc.funder.other | Shandong Provincial Key Research and Development Plan | en |
dc.funder.other | Hong Kong Research Grants Council | en |
dc.funder.other | Shandong Provincial Natural Science Foundation | en |
dc.funder.other | Shenzhen Science and Technology Research and Development Funds | en |
dc.identifier.citation | Liu, Q., Yuan, H., Hou, J., Hamzaoui, R., Su, H. (2020) Model-based joint bit allocation between geometry and color for video-based 3D point cloud compression. IEEE Transactions on Multimedia, in press. | en |
dc.identifier.doi | https://doi.org/10.1109/tmm.2020.3023294 | |
dc.identifier.issn | 1520-9210 | |
dc.identifier.uri | https://dora.dmu.ac.uk/handle/2086/20154 | |
dc.language.iso | en_US | en |
dc.peerreviewed | Yes | en |
dc.projectid | 61571274 and 61871342 | en |
dc.projectid | 2017CXGC1504 | en |
dc.projectid | 9042955 | en |
dc.projectid | ZR2018PF002 | en |
dc.projectid | JCYJ20170818103244664 | en |
dc.publisher | IEEE | en |
dc.researchinstitute | Institute of Engineering Sciences (IES) | en |
dc.subject | Point cloud compression | en |
dc.subject | Bit allocation | en |
dc.subject | Rate-distortion optimization | en |
dc.title | Model-based joint bit allocation between geometry and color for video-based 3D point cloud compression | en |
dc.type | Article | en |