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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/4265


    Title: Parabolic motion-vector re-estimation algorithm for compressed video downscaling
    Authors: Yeh, CH;Chen, YH;Chi, MC;Chen, MJ
    Contributors: Division of Biostatistics and Bioinformatics
    Abstract: For multimedia communications, there is a need to downscale a video prior to transmission because of the limitation of the bandwidth of a channel, and/or the different standards between transcoders. However, performing motion estimation in the downscaled video is computational intensive. In this paper, a parabolic motion vector re-estimation (PMVR) algorithm is proposed to predict motion vectors of the downscaled video. The proposed algorithm can significantly reduce computational complexity with slight PSNR degradation, in comparison with full search algorithm. Experimental results show that, with few additional computation, the proposed algorithm achieves a much higher quality than several existing algorithms. c 2010 Springer Science+Business Media, LLC.
    Date: 2010-10
    Relation: Journal of Signal Processing Systems. 2010 Oct;61(3): 375-386.
    Link to: http://dx.doi.org/10.1007/s11265-010-0455-z
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1939-8018&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000282051500011
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=77957991828
    Appears in Collections:[其他] 期刊論文

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