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Fast motion estimation with dual search window for stereo 3D video encoding

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URN: http://URN.fi/URN:NBN:fi:tty-2011122014955
Nimeke: Fast motion estimation with dual search window for stereo 3D video encoding
Tekijä: Joachimiak, Michal; Ugur, Kemal; Lainema, Jani; Gabbouj, Moncef
Julkaisun tyyppi: Konferenssijulkaisu - Conference paper
Julkaisuaika: 2011-07-11
DOI: http://dx.doi.org/10.1109/ICME.2011.6012247
Kuvaus: © 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.
Yliopisto: Tampereen teknillinen yliopisto - Tampere University of Technology
Tiedekunta: Tieto- ja sähkötekniikan tiedekunta – Faculty of Computing and Electrical Engineering
Laitos: Signaalinkäsittelyn laitos – Department of Signal Processing
Tiivistelmä: 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.
Tekijänoikeudet: This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.


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