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題名 A framework for attention-based personal photo manager
作者 Liao, Wenhung
廖文宏
貢獻者 資訊科學系
關鍵詞 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
上傳時間 1-Jun-2015 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
資料類型 conference
DOI http://dx.doi.org/10.1109/ICSMC.2009.5346293
dc.contributor 資訊科學系
dc.creator (作者) Liao, Wenhung
dc.creator (作者) 廖文宏zh_TW
dc.date (日期) 2009-10
dc.date.accessioned 1-Jun-2015 17:29:03 (UTC+8)-
dc.date.available 1-Jun-2015 17:29:03 (UTC+8)-
dc.date.issued (上傳時間) 1-Jun-2015 17:29:03 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75481-
dc.description.abstract (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.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics,2128-2132
dc.subject (關鍵詞) 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
dc.title (題名) A framework for attention-based personal photo manager
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1109/ICSMC.2009.5346293
dc.doi.uri (DOI) http://dx.doi.org/10.1109/ICSMC.2009.5346293