LMS based adaptive prediction for scalable video coding
buir.contributor.author | Çetin, A. Enis | |
buir.contributor.orcid | Çetin, A. Enis|0000-0002-3449-1958 | |
dc.citation.epage | II40 | en_US |
dc.citation.spage | II37 | en_US |
dc.contributor.author | Töreyin, B. Uğur | en_US |
dc.contributor.author | Trocan, M. | en_US |
dc.contributor.author | Pesquet-Popescu, B. | en_US |
dc.contributor.author | Çetin, A. Enis | en_US |
dc.coverage.spatial | Toulouse, France | |
dc.date.accessioned | 2016-02-08T11:47:39Z | |
dc.date.available | 2016-02-08T11:47:39Z | |
dc.date.issued | 2006-05 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 14-19 May 2006 | |
dc.description | Conference name: 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings | |
dc.description.abstract | 3D video codecs have attracted recently a lot of attention, due to their compression performance comparable with that of state-of-art hybrid codecs and due to their scalability features. In this work, we propose a least mean square (LMS) based adaptive prediction for the temporal prediction step in lifting implementation. This approach improves the overall quality of the coded video, by reducing both the blocking and ghosting artefacts. Experimental results show that the video quality as well as PSNR values are greatly improved with the proposed adaptive method, especially for video sequences with large contrast between the moving objects and the background and for sequences with illumination variations. © 2006 IEEE. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T11:47:39Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2006 | en |
dc.identifier.doi | 10.1109/ICASSP.2006.1660273 | |
dc.identifier.issn | 1520-6149 | |
dc.identifier.uri | http://hdl.handle.net/11693/27213 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | |
dc.relation.isversionof | https://doi.org/10.1109/ICASSP.2006.1660273 | |
dc.source.title | IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006 | en_US |
dc.subject | Adaptive systems | en_US |
dc.subject | Image quality | en_US |
dc.subject | Least squares approximations | en_US |
dc.subject | Lighting | en_US |
dc.subject | Mean square error | en_US |
dc.subject | Compression performance | en_US |
dc.subject | Scalability features | en_US |
dc.subject | Video codecs | en_US |
dc.subject | Image coding | en_US |
dc.title | LMS based adaptive prediction for scalable video coding | en_US |
dc.type | Conference Paper | en_US |
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