教師資料查詢 | 類別: 會議論文 | 教師: 郭經華 KUO, CHIN-HWA (瀏覽個人網頁)

標題:Building Semantic Indexing for Image Retrieval Systems
學年93
學期1
發表日期2004/12/15
作品名稱Building Semantic Indexing for Image Retrieval Systems
作品名稱(其他語言)
著者Kuo, Chin-Hwa; Huang, Yu-Tao; Lan, Yung-Hsiao; Chou, Tzu-Chuan
作品所屬單位淡江大學資訊工程學系
出版者
會議名稱Taipei and the International Computer Symposium 2004
會議地點臺北市, 臺灣
摘要In this paper, we discuss the semiautomatic annotation that can build the semantic index for image retrieval systems. Every image will be annotated at annotators' private and partial wording, and then we use WordNet to add extra relative keywords to increase the searched probability of each image. Unfortunately, blind expansion will make the index of images unreasonable and unwise due to the common polysemous-characteristic of English words. Therefore, we use a modified Word Sense Disambiguation technique for the image annotation to identify the sense of every annotative keyword. After examining the results, we concluded that with the proposed mechanism, the precise rate of the image retrieval system has a dramatic improvement.
關鍵字Semantic image indexing;Image retrieval system;Polysemy;Word sense disambiguation;And wordnet
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20041215~20041217
通訊作者
國別中華民國
公開徵稿Y
出版型式紙本
出處Proceedings of Taipei and the International Computer Symposium 20046頁
相關連結
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