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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/120096


    Title: An Autonomous Aesthetics-driven Photographing Instructor with Personality Prediction
    Authors: Fahn, Chin-Shyurng;Wu, Meng-Luen
    Keywords: Computer vision;computa-tional aesthetics;autonomous photo-graphing instructor;personality prediction;social network
    Date: 2013-12
    Issue Date: 2021-03-06 12:11:48 (UTC+8)
    Abstract: In this paper, an autonomous aesthetics-driven photographing instructor system is proposed, which gives instructions to help camera users to take good images. There are two kinds of instructions: image composition and personality feature enhancement. As for composition, a salient region is used to match the aesthetical template. To keep the personality of the autonomous photographing instructor system, the correlation between user types and image features is extracted through data mining on social networks, which is called “personality prediction.” The proposed system is run in realtime and workable on all mobile devices with cameras.
    DOI: 10.2991/visio-13.2014.3
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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