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http://hdl.handle.net/10397/107224
DC Field | Value | Language |
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dc.contributor | Department of Electrical and Electronic Engineering | - |
dc.creator | Lee, TK | - |
dc.creator | Chan, YL | - |
dc.creator | Siu, WC | - |
dc.date.accessioned | 2024-06-13T01:04:42Z | - |
dc.date.available | 2024-06-13T01:04:42Z | - |
dc.identifier.isbn | 978-1-4673-6853-7 (Electronic) | - |
dc.identifier.isbn | 978-1-5090-1427-9 (Print on Demand(PoD)) | - |
dc.identifier.uri | http://hdl.handle.net/10397/107224 | - |
dc.description | 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 28-31 May 2017, Baltimore, MD, USA | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | ©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication T. -K. Lee, Y. -L. Chan and W. -C. Siu, "Depth-projected determination for adaptive search range in motion estimation for HEVC," 2017 IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, MD, USA, 2017 is available at https://doi.org/10.1109/ISCAS.2017.8050261. | en_US |
dc.title | Depth-projected determination for adaptive search range in motion estimation for HEVC | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | 10.1109/ISCAS.2017.8050261 | - |
dcterms.abstract | High Efficient Video Coding (HEVC) improves coding efficiency but suffers from high computational complexity due to its quad-tree partitioning structure in motion estimation (ME). In recent development of 3D video technology, depth map from the 3D video provides an intimation of the objects' distance from the projected screen in a 3D scene, which inspires the authors to explore the adaptive search range determination for complexity reduction in HEVC. The proposed algorithm exploits the high temporal correlation between the depth map and the motion in texture. By utilizing this correlation and the potential impact of 3D-to-2D projection, a depth/motion relationship is built for a tailor-made search range with a depth-projected scale factor to skip unnecessary search points in ME. Besides, the proposed ASR algorithm can work well with other fast ME algorithms with up to 53% of average coding time reduction whereas the coding efficiency can be maintained. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | In Proceedings of 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 28-31 May 2017, Baltimore, MD, USA | - |
dcterms.issued | 2017 | - |
dc.identifier.scopus | 2-s2.0-85032659849 | - |
dc.relation.conference | IEEE International Symposium on Circuits and Systems [ISCAS] | - |
dc.description.validate | 202404 bckw | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EIE-0649 | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Center for Signal Processing, Dept. of EIE, The Hong Kong Polytechnic University; Hong Kong Telecommunications (HKT) Limited | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 9606263 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Conference Paper |
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File | Description | Size | Format | |
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Lee_Depth-Projected_Determination_Adaptive.pdf | Pre-Published version | 1.26 MB | Adobe PDF | View/Open |
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