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    题名: A framework for attention-based personal photo manager
    作者: Liao, Wenhung
    廖文宏
    贡献者: 資訊科學系
    关键词: Attention-based photo manager;Digital image;Digital photos;Face Detection;Level Of Interest;Photo browsers;Search results;Timing parameters;User behavior;User behaviors;User interaction;Web camera;Behavioral research;Cybernetics;Image quality;Image recording;Management;Managers;Quality control;Computer graphics
    日期: 2009-10
    上传时间: 2015-06-01 17:29:03 (UTC+8)
    摘要: In this paper, we propose a novel framework for the design and implementation of an attention-based personal digital photo browsing platform. The key concept that separates the proposed system from existing ones is the incorporation of user interaction patterns to infer the level of interest in a particular photo. Specifically, we use web cameras to record and analyze the viewing behavior of the user and attempt to correlate the interest of the viewer to the effective viewing time. We also devise an updating scheme to efficiently renew the timing parameter. To build a comprehensive photo browser, external EXIF data and face detection results are utilized to coarsely classify the digital images. Moreover, measures of image quality, including sharpness and contrast, are calculated to rank the search results. Finally, a ranking-based algorithm is utilized to integrate the clues acquired from different modules. ©2009 IEEE.
    關聯: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics,2128-2132
    数据类型: conference
    DOI 連結: http://dx.doi.org/10.1109/ICSMC.2009.5346293
    DOI: 10.1109/ICSMC.2009.5346293
    显示于类别:[資訊科學系] 會議論文

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