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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/107499


    題名: Improved global motion estimation via motion vector clustering for video stabilization
    作者: 龔存雄;Chen, Bo-Hao;Kopylov, Andrey;Huang, Shih-Chia;Seredin, Oleg;Karpov, Roman;Kuo, Sy-Yen;Robert Lai, K.;Tan, Tan-Hsu;Gochoo, Munkhjargal;Bayanduuren, Damdinsuren;Gong, Cihun-Siyong;Hung, Patrick C.K.
    貢獻者: 資訊電機學院電機工程學系
    關鍵詞: Artificial intelligence;Clustering;Expert systems;Mathematical analysis;Motion vector clustering;Multimedia;Shortest spanning path;Stabilization;State of the art;Vectors (mathematics);Video stabilization
    日期: 2016-09-01
    上傳時間: 2026-04-23 14:15:41 (UTC+8)
    出版者: Elsevier Ltd.;Elsevier Ltd
    摘要: 摘要: Video stabilization technique is often used in handheld multimedia devices, whereas the difficulties in the accurate extraction aspect of global motion vectors restrict its development. This paper proposes a novel video stabilization approach that is based on the shortest spanning path clustering algorithm for effective and reliable estimation of the global motion vectors. As demonstrated in our experimental results, the proposed approach achieves superior stabilized effectiveness compared with the other state-of-the-art approaches based on both qualitative and quantitative measurements.
    出版者: Elsevier Ltd
    出版日期: 2016-09-01
    出處: Engineering applications of artificial intelligence, 2016-09, Vol.54, p.39-48
    版權: 2016 Elsevier Ltd
    識別號: ISSN: 0952-1976
    識別號: EISSN: 1873-6769
    識別號: DOI: 10.1016/j.engappai.2016.05.004
    顯示於類別:[電機工程學系] 期刊論文

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