Intelligent Concept-Oriented and content-based image retrieval by using data mining and query decomposition techniques

S. Tseng, Ja Hwung Su, Hao Hua Ku, Bo Wen Wang

研究成果: Conference contribution同行評審

4 引文 斯高帕斯(Scopus)

摘要

Traditional image retrieval based on visual-based matching is not effective in multimedia applications. Consequently, the modeling of high-level human sense for image retrieval has been a challenging issue over the past few years. In fact, the concepts hidden in the images play key roles in semantic image retrieval. In this paper, we propose a novel method named Intelligent Concept-Oriented Search (ICOS) that can capture the high-level concepts in images by utilizing data mining and query decomposition techniques. The contributions of the proposed method lie in that we provide: 1) effective annotation for conceptual objects, 2) association mining for conceptual objects, 3) visual ranking for conceptual objects and 4) intelligent search method for enhancing high-level concept image retrieval. Through experimental evaluations, ICOS is shown to be very effective and efficient in capturing the implicit high-level concepts for image retrieval.

原文English
主出版物標題2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
頁面1273-1276
頁數4
DOIs
出版狀態Published - 23 10月 2008
事件2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Hannover, Germany
持續時間: 23 6月 200826 6月 2008

出版系列

名字2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings

Conference

Conference2008 IEEE International Conference on Multimedia and Expo, ICME 2008
國家/地區Germany
城市Hannover
期間23/06/0826/06/08

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