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Title:
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Fast motion estimation with dual search window for stereo 3D video encoding |
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Author:
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Joachimiak, Michal; Ugur, Kemal; Lainema, Jani; Gabbouj, Moncef |
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Abstract:
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Stereoscopic 3D video is becoming a reality in many application areas, ranging from high quality entertainment to mobile video services. Due to the need to process two views, the complexity of 3D video applications is significantly higher than traditional 2D counterparts. In order to enable real-time 3D video services in mobile devices, this paper proposes a novel algorithm which reduces the complexity of stereo video encoding with improvement of coding efficiency. A novel search window center prediction method is proposed that exploits the correlation between two views. Experimental results show that the average encoding time of the second view can be decreased by 80% with an increase in coding efficiency of up to 2%. The state-of-art fast motion estimation methods for stereoscopic 3D video encoding show coding efficiency decrease, whereas proposed method achieves the speed-up with increase in coding efficiency, making it suitable for high quality 3D video applications. |
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Issue date:
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2011-07-11 |
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ISBN:
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978-1-61284-348-3 |
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ISBN (PDF):
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978-1-61284-349-0 |
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ISSN:
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1945-7871 |
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Citation:
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Joachimiak, Michal; Ugur, Kemal; Lainema, Jani; Gabbouj, Moncef 2011.
Fast motion estimation with dual search window for stereo 3D video encoding. 2011 IEEE International Conference on Multimedia and Expo, ICME 2011, July 11 - 15, 2011, Barcelona, Spain 1-5. |
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DOI:
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http://dx.doi.org/10.1109/ICME.2011.6012247
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Peer review status:
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Peer-reviewed |
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Description:
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© 2011 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. |
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URN:
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http://URN.fi/URN:NBN:fi:tty-2011122014955
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Publication type:
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Konferenssijulkaisu - Conference paper |
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Language:
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en |
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University:
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Tampereen teknillinen yliopisto - Tampere University of Technology |
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Faculty:
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Tieto- ja sähkötekniikan tiedekunta – Faculty of Computing and Electrical Engineering |
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Department:
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Signaalinkäsittelyn laitos – Department of Signal Processing |
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Copyright:
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This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited. |