淡江大學機構典藏:Item 987654321/95791
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 58335/91896 (63%)
造访人次 : 32885      在线人数 : 129
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95791


    题名: Building Semantic Indexing for Image Retrieval Systems
    作者: Kuo, Chin-Hwa;Huang, Yu-Tao;Lan, Yung-Hsiao;Chou, Tzu-Chuan
    贡献者: 淡江大學資訊工程學系
    关键词: Semantic image indexing;Image retrieval system;Polysemy;Word sense disambiguation;And wordnet
    日期: 2004-12
    上传时间: 2014-02-13
    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.
    關聯: Proceedings of Taipei and the International Computer Symposium 2004,6頁
    显示于类别:[資訊工程學系暨研究所] 會議論文

    文件中的档案:

    档案 大小格式浏览次数
    Building Semantic Indexing for Image Retrieval Systems_英文摘要.docx19KbMicrosoft Word183检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈