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 en
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 TWN
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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