20 research outputs found

    A Comparison of Feature-Combination for Example-Based Super Resolution

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    [[abstract]]Super resolution (SR) in computer vision is an important task. In this paper, we compared several common used features in image super resolution of example-based algorithms. To combine features, we develop a cascade framework to both solve the problem of deciding weights among features and to improve computation efficiency. Finally, we modify the framework to have an adaptive threshold such that not only the computation load is much reduced but the modified framework is suitable to any query image as well as various image databases.[[sponsorship]]the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)[[conferencetype]]國際[[conferencedate]]2014, 5/13 - 5/16[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Tainan, Taiwa

    The Malleable and the Contested

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    Imagery and War in Japan

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    Absent Images of Memory

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    Korean “Imperial Soldiers”

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    “Trapped in History” on the Way to Utopia

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    Filmography

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    Images of Islanders in Pacific War Photographs

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    Moving History

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