An Autonomous Aesthetics-driven Photographing Instructor with Personality Prediction
學年 102
學期 1
發表日期 2013-12-21
作品名稱 An Autonomous Aesthetics-driven Photographing Instructor with Personality Prediction
作品名稱(其他語言)
著者 Chin-Shyurng Fahn; Meng-Luen Wu
作品所屬單位
出版者
會議名稱 International Conferences on Computer Graphics, Visualization, Computer Vision, and Game Technology
會議地點 Jakarta, Indonesia
摘要 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.
關鍵字 Computer vision;computa-tional aesthetics;autonomous photo-graphing instructor;personality prediction;social network
語言 en_US
收錄於
會議性質 國際
校內研討會地點
研討會時間 20131221~20131221
通訊作者 Chin-Shyurng Fahn
國別 IDN
公開徵稿
出版型式
出處
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/120096 )