教師資料查詢 | 類別: 會議論文 | 教師: 顏淑惠 Yen Shwu-huey (瀏覽個人網頁)

標題:A Content-Based Painting Image Retrieval System Based on AdaBoost Algorithm
學年95
學期1
發表日期2006/10/08
作品名稱A Content-Based Painting Image Retrieval System Based on AdaBoost Algorithm
作品名稱(其他語言)
著者Yen, Shwu-huey; Hsieh, Ming-hsien; Wang, Chia-jen; Lin, Hwei-jen
作品所屬單位淡江大學資訊工程學系
出版者Institute of Electrical and Electronics Engineers (IEEE)
會議名稱Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
會議地點Taipei, Taiwan
摘要A content-based painting image retrieval (CBPIR) system based on AdaBoost is proposed. By providing query examples which share the same semantic concepts, e.g., portraits, and incorporating with relevance feedback (RF), the user can acquire the desired painting images. To bridge the gap between low-level features and semantic concepts, a large set of 4,356 features on texture and spatial arrangement of painting images is provided. Utilize the nice characteristic of AdaBoost algorithm that it can combine partial weak classifiers, i.e. features, into a strong one, the system can correctly discover a few most critical features from provided samples and search paintings sharing same features from the database. Our experiment in query of "portrait," based on 3 RFs and an average of 50 repetitions, shows an excellent performance of (approximately) 0.71, 0.84, 0.95 in Precision, Recall, and Top 100 Precision rates. The average execution time, based on 50 repetitions, required in initial query and three RF with training and classifying is approximately 1.2 seconds, thus a complete query takes less than 5 seconds in training and classifying. The system is proved to be accurate in content based image retrieval and also very efficient for on-line users.
關鍵字
語言英文
收錄於EI
會議性質國際
校內研討會地點
研討會時間20061008~20061011
通訊作者
國別中華民國
公開徵稿Y
出版型式紙本;電子版
出處Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on (Volume:3 ), pp.2407-2412
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