Joint estimation and optimum encoding of depth field for 3-D object-based video coding
dc.citation.epage | 874 | en_US |
dc.citation.spage | 871 | en_US |
dc.contributor.author | Alatan, A. Aydın | en_US |
dc.contributor.author | Onural, Levent | en_US |
dc.coverage.spatial | Lausanne, Switzerland | |
dc.date.accessioned | 2016-02-08T12:00:18Z | |
dc.date.available | 2016-02-08T12:00:18Z | |
dc.date.issued | 1996-09 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Conference name: Proceedings of 3rd IEEE International Conference on Image Processing | |
dc.description | Date of Conference: 16-19 Sept. 1996 | |
dc.description.abstract | 3-D motion models can be used to remove temporal redundancy between image frames. For efficient encoding using 3-D motion information, apart from the 3-D motion parameters, a dense depth field must also be encoded to achieve 2-D motion compensation on the image plane. Inspiring from Rate-Distortion Theory, a novel method is proposed to optimally encode the dense depth fields of the moving objects in the scene. Using two intensity frames and 3-D motion parameters as inputs, an encoded depth field can be obtained by jointly minimizing a distortion criteria and a bit-rate measure. Since the method gives directly an encoded field as an output, it does not require an estimate of the field to be encoded. By efficiently encoding the depth field during the experiments, it is shown that the 3-D motion models can be used in object-based video compression algorithms. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T12:00:18Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1996 | en |
dc.identifier.doi | 10.1109/ICIP.1996.561043 | |
dc.identifier.uri | http://hdl.handle.net/11693/27726 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | https://doi.org/10.1109/ICIP.1996.561043 | |
dc.source.title | Proceedings of 3rd IEEE International Conference on Image Processing | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Computer vision | en_US |
dc.subject | Depth perception | en_US |
dc.subject | Error analysis | en_US |
dc.subject | Image compression | en_US |
dc.subject | Image quality | en_US |
dc.subject | Optical image storage | en_US |
dc.subject | Parameter estimation | en_US |
dc.subject | Depth fields | en_US |
dc.subject | Distortion criteria | en_US |
dc.subject | Image frames | en_US |
dc.subject | Image planes | en_US |
dc.subject | Temporal redundancy | en_US |
dc.subject | Three dimensional motion models | en_US |
dc.subject | Two dimensional motion compensation | en_US |
dc.subject | Video compression algorithms | en_US |
dc.subject | Image coding | en_US |
dc.title | Joint estimation and optimum encoding of depth field for 3-D object-based video coding | en_US |
dc.type | Conference Paper | en_US |
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