| 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 | en |
| 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 | TWN |
| 公開徵稿 | Y |
| 出版型式 | 紙本 |
| 出處 | Proceedings of Taipei and the International Computer Symposium 2004，6頁 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95791 ) |
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