CanFind-a semantic image indexing and retrieval system
學年 91
學期 2
發表日期 2003-05-25
作品名稱 CanFind-a semantic image indexing and retrieval system
作品名稱（其他語言）
著者 郭經華; Kuo, Ching-hwa; Chou, Tzu-chuan; Tsao, Nai-lung; Lan, Yung-hsiao
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 Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
會議地點 Bangkok, Thailand
摘要 We present CanFind, a semantic image indexing and retrieval system in this paper. To identify the target images of interest in the database in the conceptual level, the presented system makes use of keywords as the input of searching vehicle. The system consists of two subsystems, i.e., semantic indexing and query expansion. In the semantic indexing, the subsystem includes three main building blocks, namely, keyword extraction, keyword expansion, and keyword weighting. The information of WordNet is used to extend existing keywords associated with images. This design intends to overcome the drawbacks in conventional keyword-based image retrieval system. Next, the resulting word set is filtered by a filter to extract common words from the word set and set up the image indexing for the corresponding image. In the query expansion, corpus is used to help users find relative or precise results in the facing dilemma of too few or too many query results for a given query. The designed semantic image indexing and retrieval system is integrated with IWiLL, a web-based language learning platform to further illustrate the value of the designed system.
關鍵字 Keyword expansion; query expansion; semantic image indexing and retrieval; e-learning
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20030525~20030528
通訊作者
國別 THA
公開徵稿
出版型式 紙本
出處 Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on (Volume:2 ), pp.644-647
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